Person Insights Bundles

Insights Bundles Data Dictionary

This Data Dictionary is a collection of names,definitions,volumes/coverage,attributes about data elements and its examples that are being sent via the Person Insights Bundles. It describes the meanings and purposes of data elements and provides guidance on interpretation.

Download FullContact Data Dictionary here

What Triggers an Insights Bundle?

Do you want to better understand how/when an Insights Bundle will be sent via API and populated for a given individual?

A "match" can be defined in various ways across industries so we’re here to help breakdown our logic for a more meaningful match.

A match starts with the notion of an identity - do we know enough about an individual with a high enough confidence to build a more robust picture? If so, we can match to a persistent FullContact Person ID (PID). Once that happens, FullContact has the capability to share more about an individual within each Enrichment Insights Bundle. From here, we match to and enrich with more information about an individual to help propel your business initiatives and further your relationship.

Plan Configuration

To configure the Insights Bundles for your plan, visit the Plan & Billing section within the FullContact Platform. From here you can see and manage the Insights Bundles that are enabled for your account, along with the associated cost for each. Customers with custom plans will need to contact their sales representative to have Insights Bundles configured for their account.

Person Insights Bundles

Person Insights Bundles are a feature within Enrich that enable you to customize the Person Enrichment response, further enriching a contact with data such as online identifiers, Employment History, and more provided we have a match to that individual.

Below are a list of the currently available Insights Bundles, along with example objects that would be returned in a response. Insights Bundles available will be returned as a key inside of the details property of a Person Summary object.

Individual Plus Insights

The Individual Plus Insights Bundle contains the entire suite of information for a profile, including age gender,known locations,household composition,financial characteristics,purchase and shopping habits,along with known hashed emails for the profile. This Insights Bundles will be returned in the demographics,locations,households,finances,triggers,market trends,purchases,education and email hash and keys in the details object represents a Person Summary.

{
  "name" : {
    "given" : "Angus",
    "family" : "De Vaca",
    "full" : "Angus De Vaca"
  },
  "age" : {
    "range" : "40-49",
    "value" : 40
  },
  "gender" : "Male",
  "household" : {
    "familyInfo" : {
      "householdSize" : "4",
      "numberOfAdults" : "1",
      "numberOfChildren" : "2",
      "lifeCycles" : {
        "babyBoomers" : "Y",
        "dualIncomeNoKids" : "Y",
        "familyTies" : "Y",
        "generationX" : "Y",
        "millenials" : "Y",
        "millenialsButFirstLetMeTakeASelfie" : "Y",
        "millenialsGettinHitched" : "Y",
        "millenialsIAmAnAdult" : "Y",
        "millenialsLivesWithMom" : "Y",
        "millenialsMomLife" : "Y",
        "millenialsPuttingDownRoots" : "Y"
      }
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "householdEducation" : "College",
      "maritalStatus" : "At least 1 single",
      "lengthOfResidence" : "20+ yrs",
      "householdOccupation" : "Lawyers-Judges",
      "homeMarketValue" : "3154S",
      "yearHomeBuilt" : "1968"
    },
    "locationInfo" : {
      "nielsenCountySize" : "All counties in the next largest set of metropolitan areas which together account for 30% of U.S. households in the 2010 census. No non-metropolitan counties are large enough to qualify as A or B counties.",
      "carrierRoute" : "C024",
      "coreBasedStatisticalArea" : "33221",
      "blockGroupNumber" : "8",
      "censusTractSuffix" : "0",
      "countyCode" : "115",
      "dsfSeasonCode" : "B"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "adult" : {
        "age18to24" : "Male",
        "age25to34" : "Female",
        "age35to44" : "Female",
        "age45to54" : "Male",
        "age55to64" : "Female",
        "age65to74" : "Male",
        "age75above" : "Female"
      }
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "discretionarySpendingIncome" : "$65,000 - $74,999",
      "firstMortgageAmountInThousands" : "5147",
      "homeMarketValueTaxRecord" : "453",
      "investmentResources" : "$250,000 - $499,999",
      "liquidResources" : "$500 - $2,499",
      "shortTermLiability" : "$50,000 or more",
      "netWorth" : "$150,000 - $249,999",
      "wealthResources" : "$250,000 - $499,999",
      "paymentMethodCreditCard" : "Y"
    }
  },
  "demographics" : {
    "gender" : "Male",
    "age": {
            "birthday": {
                "year": 1962,
                "month": 7,
                "day": 12
            },
            "range": "60-69",
            "value": 60
    },
    "birth" : {
      "birthMonth" : "null",
      "birthYear" : "null"
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married"
    }
  },
  "surveys" : {
    "own" : {
      "smartPhone" : "Y",
      "cat" : "Y",
      "dog" : "Y",
      "pets" : "Y"
    },
    "collectibles" : {
      "dolls" : "Y",
      "figurines" : "Y",
      "any" : "Y",
      "artAntique" : "Y"
    },
    "dietConcerns" : {
      "naturalFoods" : "Y",
      "diet" : "Y",
      "weightControl" : "Y"
    },
    "hobby" : {
      "baking" : "Y",
      "cigarSmoking" : "Y",
      "cooking" : "Y",
      "crafts" : "Y",
      "gardening" : "Y",
      "homeStudyCourses" : "Y",
      "quilting" : "Y",
      "selfImprovementCourses" : "Y",
      "woodworking" : "Y",
      "photography" : "Y",
      "careerAdvancementCourses" : "Y",
      "any" : "Y",
      "automotiveWork" : "Y",
      "birdFeedingOrWatching" : "Y",
      "culturalArtsOrEvents" : "Y",
      "gourmetFoods" : "Y",
      "homeImprovementOrDIY" : "Y",
      "motorcycleRiding" : "Y",
      "scrapbooking" : "Y",
      "sewingOrNeedleworkOrKnitting" : "Y",
      "wine" : "Y"
    },
    "investments" : {
      "juvenileLifeInsurance" : "Y",
      "burialInsurance" : "Y",
      "insurance" : "Y",
      "investments" : "Y",
      "lifeInsurance" : "Y",
      "medicareCoverage" : "Y",
      "mutualFunds" : "Y",
      "stocksOrBonds" : "Y"
    },
    "music" : {
      "classical" : "Y",
      "country" : "Y",
      "jazz" : "Y",
      "any" : "Y",
      "rythmAndBlues" : "Y",
      "rockNRoll" : "Y"
    },
    "reading" : {
      "bestSellingFiction" : "Y",
      "childrens" : "Y",
      "fashion" : "Y",
      "military" : "Y",
      "entertainment" : "Y",
      "romance" : "Y",
      "sports" : "Y",
      "books" : "Y",
      "cookingOrCulinary" : "Y",
      "countryOrLifestyle" : "Y",
      "interior" : "Y",
      "medicalOrHealth" : "Y",
      "worldNews" : "Y"
    },
    "sporting" : {
      "campingOrHiking" : "Y",
      "fishing" : "Y",
      "golf" : "Y",
      "nascar" : "Y",
      "boatingOrSailing" : "Y",
      "cycling" : "Y",
      "fitnessExcercise" : "Y",
      "bigGameHunting" : "Y",
      "huntingOrShooting" : "Y",
      "sportsMerchandiseOrActivewearRecency" : "7 - 12 months",
      "runningOrJogging" : "Y",
      "skiingOrSnowboarding" : "Y",
      "sportsParticipation" : "Y",
      "walkingForHealth" : "Y",
      "yogaOrPilates" : "Y"
    },
    "travel" : {
      "timeshare" : "Y",
      "business" : "Y",
      "cruiseShipVacation" : "Y",
      "international" : "Y",
      "leisure" : "Y",
      "rvVacations" : "Y",
      "travelInTheUSA" : "Y",
      "traveler" : "Y"
    },
    "purchase" : {
      "artsCraftsRecency" : "0 - 6 months",
      "beautyAndSpaRecency" : "7 - 12 months",
      "beveragesRecency" : "7 - 12 months",
      "booksRecency" : "7 - 12 months",
      "clubContinuity" : "Y",
      "gardenAndBackyardRecency" : "7 - 12 months",
      "homeDecorRecency" : "7 - 12 months",
      "sweepstakes" : "Y",
      "maleApparelRecency" : "0 - 6 months",
      "musicVideosRecency" : "7 - 12 months",
      "specialtyFoodsAndGiftsRecency" : "7 - 12 months",
      "sportsAndOutdoorRecency" : "7 - 12 months",
      "toolsAndElectronicsRecency" : "13 - 18 months",
      "femaleAndMaleRecency" : "13 - 18 months",
      "femaleBrandAndFitRecency" : "0 - 6 months"
    },
    "donor" : {
      "activeMilitary" : "Y",
      "animalWelfare" : "Y",
      "artsOrCultural" : "Y",
      "childrens" : "Y",
      "charitable" : "Y",
      "humanitarian" : "Y",
      "veteran" : "Y",
      "wildlifeEnvironmental" : "Y",
      "worldRelief" : "Y"
    },
    "mailOrder" : {
      "any" : "Y",
      "apparel" : "Y",
      "books" : "Y",
      "buyer" : "Y",
      "childrensProducts" : "Y",
      "food" : "Y",
      "gifts" : "Y",
      "healthOrBeautyProducts" : "Y",
      "homeFurnishing" : "Y",
      "jewelry" : "Y",
      "magazines" : "Y",
      "videosOrDVD" : "Y",
      "womensPlusApparel" : "Y"
    },
    "other" : {
      "electronics" : "Y",
      "grandchildren" : "Y",
      "militaryVeteran" : "Y",
      "onlineHousehold" : "Y",
      "scienceAndNewTechnology" : "Y",
      "swimmingPool" : "Y"
    },
    "social" : {
      "facebookUser" : "Y",
      "instagramUser" : "Y",
      "pinterestUser" : "Y",
      "twitterUser" : "Y"
    }
  },
  "emails" : [ {
    "label" : "Home",
    "md5" : "a143e627ed898bc54db1c398a37738da",
    "sha256" : "ba8851040bfc825ccdaab86cf204f8a9f5bb8f965ec6ce2055beef8f4ba34fa7",
    "sha1" : "aa50b1d123f280d5cd0dcf645a5200eff1e80296"
  }, {
    "label" : "Other",
    "md5" : "a451b868c1b92949ba006df83f9effd2",
    "sha256" : "633d337e296a1c75d491ee171f47c51c4252d404368c6faae04397c3cbd9f4de",
    "sha1" : "c1e055608f8a7e899072f5dd24fb5e19a96d631f"
  }, {
    "label" : "Work",
    "md5" : "03e3a30f3730b3462486e033200f5bdf",
    "sha256" : "36e49ca7847eadf8e2d45be237b4fdf4d0dd5ac7105d5f535a6df5a844e1da7e",
    "sha1" : "bca6bde709b71eb0a0badf04a038a56638204537"
  }],
  "phones" : [ ],
  "profiles" : {
    "twitter" : {
      "url" : "https://twitter.com/hspangus",
      "service" : "twitter"
    },
    "linkedin" : {
      "url" : "https://www.linkedin.com/in/hspangus",
      "bio" : "Connect with me on LinkedIn",
      "service" : "linkedin"
    }
  },
  "locations" : [ {
    "city" : "Denver",
    "region" : "Colorado",
    "regionCode" : "CO",
    "country" : "United States",
    "countryCode" : "US",
    "formatted" : "Denver, Colorado, United States"
  } ],
  "employment" : [ {
    "name" : "Self-employed",
    "current" : true,
    "title" : "Independent Consultant"
  } ],
  "photos" : [ {
    "label" : "Avatar",
    "value" : "https://img.fullcontact.com/static/b3d621eec2c09cafb35e3575b4946719_95fa934eff5e1713d8ce53e2301d3f3ac304570a34418c443d3e9ef69f1a1d7e"
  } ],
  "education" : [ {
    "name" : "CSU",
    "degree" : "PhD, Marketing and Communications",
    "end" : {
      "year" : 2001,
      "month" : 5,
      "day" : 25
    }
  } ],
  "urls" : [ {
    "value" : "https://angusdeva.ca/blog"
  } ],
  "triggers" : {
    "type" : {
      "collegeGraduate" : "N",
      "emptyNester" : "N",
      "homeMarketValue" : "D",
      "income" : "I",
      "newAdultToFile" : "Y",
      "newFirstChild0to2YearsOld" : "Y",
      "newPreDriver" : "N",
      "newYoungAdultToFile" : "Y",
      "nicheSwitch" : "Niche U",
      "valueScore" : "I"
    },
    "date" : {
      "collegeGraduateChange" : "200911",
      "emptyNesterChange" : "201602",
      "firstChildChange" : "201411",
      "homeMarketValueChange" : "201404",
      "incomeChange" : "201404",
      "newAdultChange" : "201306",
      "newDriverChange" : "201502",
      "newYoungAdultToChange" : "200702",
      "nicheSwitch" : "201508",
      "valueScoreChange" : "200808"
    }
  },
  "marketTrends" : {
    "switchers" : {
      "job" : "Likely"
    },
    "enthusiasts" : {
      "artHouseMovie" : "Highly Likely",
      "baseball" : "Unlikely",
      "basketball" : "Likely",
      "brandLoyalists" : "Likely",
      "carryOut" : "Unlikely",
      "casualDining" : "Likely",
      "extremeFitness" : "Likely",
      "football" : "Unlikely",
      "gamingnonMobileDevices" : "Likely",
      "hockey" : "Likely",
      "latinMusic" : "Unlikely",
      "quickServiceRestaurant" : "Likely",
      "soccer" : "Likely"
    },
    "attendees" : {
      "amusementPark" : "Unlikely",
      "liveMusicConcert" : "Highly Likely"
    },
    "buyers" : {
      "christmasOrnamentsCollectibles" : "Unlikely",
      "heavyLowFatFood" : "Unlikely",
      "onlineHomeCleaningProduct" : "Unlikely",
      "onlinePetFood" : "Highly Likely"
    },
    "customers" : {
      "amazonPrime" : "Highly Likely",
      "annuity" : "Highly Likely",
      "mensBigandTallApparel" : "Highly Likely",
      "plantoPurchaseSmartHomeProducts" : "Likely",
      "restaurantLoyaltyCard" : "Highly Likely",
      "socialMediaPreference" : "Likely",
      "subscriptionorAutoShipmentHouseholdProduct" : "Likely",
      "womensPlusSizeApparel" : "Likely"
    },
    "consumers" : {
      "airlineUpgraders" : "Likely",
      "autoInsurance" : "Highly Likely",
      "cableBundlecableinternethomephone" : "Likely",
      "casinoGamer" : "Highly Likely",
      "coinsCollector" : "Likely",
      "conservativeInvestmentStyle" : "Highly Likely",
      "contactlessPayApplication" : "Likely",
      "cordCutters" : "Likely",
      "creditCardAttritionHouseholds" : "Highly Likely",
      "creditCardRevolvers" : "Unlikely",
      "dietConsciousHouseholds" : "Likely",
      "doitYourselfer" : "Unlikely",
      "futureInvestors" : "Likely",
      "homeRemodelers" : "Unlikely",
      "mealKitDelivery" : "Highly Likely",
      "pandemicLuxurySpenders" : "Likely",
      "pandemicRiskTolerant" : "Highly Likely",
      "personalTraveler" : "Likely",
      "retailTexters" : "Highly Likely",
      "retiredbutStillWorking" : "Likely",
      "satelliteBundlesatelliteinethomeorwireless" : "Highly Likely",
      "sociallyInfluenced" : "Unlikely",
      "upcomingRetirees65andOlder" : "Unlikely",
      "vehicleDIYrs" : "Likely",
      "weeklyOnlineBankers" : "Unlikely",
      "wellnessHouseholdsHealth" : "Likely",
      "wiredLineVideoConnectors" : "Likely"
    },
    "donor" : {
      "animalWelfare" : "Likely",
      "environmental" : "Likely"
    },
    "owners" : {
      "androidSmartPhone" : "Likely",
      "appleSmartPhone" : "Unlikely",
      "smartTV" : "Highly Likely"
    },
    "travellers" : {
      "business" : "Unlikely"
    },
    "readers" : {
      "avidBook" : "Unlikely",
      "book" : "Highly Likely",
      "entertainment" : "Likely"
    },
    "voters" : {
      "likely" : "Highly Likely"
    },
    "subscribers" : {
      "cableTVPremium" : "Likely",
      "financialHealthNewsletter" : "Unlikely",
      "satelliteRadio" : "Likely"
    },
    "purchasers" : {
      "autoLoan" : "Likely",
      "frequentMobile" : "Likely",
      "frequentOnlineMusic" : "Highly Likely",
      "impulse" : "Unlikely",
      "newLuxuryVehicle" : "Unlikely",
      "newnonLuxuryVehicle" : "Highly Likely",
      "organicFood" : "Unlikely",
      "webSurferBrickMortar" : "Likely",
      "webandBrickMortarViewerOnline" : "Likely",
      "rv" : "Likely"
    },
    "spenders" : {
      "pandemicDecreasedSpenders" : "Likely",
      "vacationSpenders" : "Likely"
    },
    "shoppers" : {
      "bargainHotel" : "Highly Likely",
      "bargain" : "Likely",
      "multiRetailer" : "Likely",
      "whatsOnSale" : "Likely"
    },
    "users" : {
      "app" : "Likely",
      "brandedRetailCreditCard" : "Highly Likely",
      "creditCardBalanceTransfer" : "Likely",
      "debitCardRewards" : "Highly Likely",
      "debitCard" : "Highly Likely",
      "heavyCoupon" : "Likely",
      "mobileBanking" : "Unlikely",
      "naturalProductPersonalCareProduct" : "Likely",
      "onlineSavings" : "Likely",
      "publicTransportation" : "Highly Likely",
      "restaurantApp" : "Likely",
      "restaurantLoyaltyApp" : "Unlikely",
      "rewardsCardOther" : "Likely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

gender string

The gender of the individual.

details.name.given string

The given name (first name) of the individual.

details.name.family string

The family name (last name) of the individual.

details.age.range string

An age range of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Householdsize string

This indicate the number of persons in the household.

familyInfo.Numberofadults string

This indicates the number of adults in household.

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

familyInfo.lifeCycles.Babyboomers string

This lifecycle segment contains names and addresses of all individuals born between 1946 and 1964.

familyInfo.lifeCycles.Dualincomenokids string

This lifecycle segment includes households with a male and female adult present with higher than average discretionary income and no children present.

familyInfo.lifeCycles.Familyties integer

This lifecycle segment is defined as husband and wife households with children present.

familyInfo.lifeCycles.Generationx string

This lifecycle segment contains names and addresses of individuals born between 1965 and 1976.

familyInfo.lifeCycles.Millenia string

This lifecycle segment contains households with adults born between 1981 and 2002.

familyInfo.lifeCycles.Millenialsbutfirstletmetakeaselfie string

This lifecycle segment contains households with single (not Married) adults born between 1981 and 2002.

familyInfo.lifeCycles.Millenialsgettinhitched string

This lifecycle segment contains households with adults born between 1981 and 2002 and married.

familyInfo.lifeCycles.Millenialsiamanadult string

This lifecycle segment contains households with adults born between 1981 and 2002.

familyInfo.lifeCycles.Millenialsliveswithmom string

This lifecycle segment contains households with single adults (not Married) born between 1981 and 2002, AND head of household born before 1981 AND (at least one) adult age gap to Millennial > 15 years.

familyInfo.lifeCycles.Millenialsmomlife string

This lifecycle segment contains households with adults born between 1981 and 2002 with own children present.

familyInfo.lifeCycles.Millenialsputtingdownroots string

This lifecycle segment contains households with adults born between 1981 and 1990.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Maritalstatus string

Married or single.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Affluents string

This indicates the segments of the most affluent households based upon key financial characteristics and census characteristics.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Currentloantovalue string

Current loan to value (implied decimal 00.00 to 99.99).

homeInfo.Homeheatsource string

Indicates the primary heating system or method on a property.

homeInfo.Householdoccupation string

This estimates the most prominent known profession of everybody in the household.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

homeInfo.Homemarketvalue string

This estimates the home market value for property expressed in thousands.

homeInfo.Ownertoowner string

This model predicts a household's likelihood to move in the next 3-5 months.

homeInfo.Rentertiowner string

This model for current renters. This model predicts a household's likelihood to move in the next 3-5 months.

homeInfo.Yearhomebuilt string

This indicates construction year of the home.

locationInfo.Blockgroupnumber integer string

This indicates a block group number, a single digit or blank, represents a cluster of blocks.

locationInfo.Corebasedstatisticalarea string

This refers to both metropolitan statistical areas and newly-created micropolitan areas collectively.

locationInfo.Carrierroute string

This represents the existence of carrier route.

locationInfo.Censustractsuffix string

This is represented from Tract and Block Group files.

locationInfo.Countycode string

This is a five-digit Federal Information Processing Standard (FIPS) code (FIPS 6-4) which uniquely identifies counties and county equivalents in the United States, certain U.S. possessions, and certain freely associated states.

locationInfo.Dsfseasoncode string

This represents the DSF season code.

locationInfo.Nielsencountysizecode string

This indicate the county classification based upon household population density.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

presence.adult.Age18To24 string

This indicates the presence (and gender) of adults age 18-24 in the household.

presence.adult.Age25To34 string

This indicates the presence (and gender) of adults age 25-34 in the household.

presence.adult.Age35To44 string

This indicates the presence (and gender) of adults age 35-44 in the household.

presence.adult.Age45To54 string

This indicates the presence (and gender) of adults age 45-54 in the household.

presence.adult.Age55To64 string

This indicates the presence (and gender) of adults age 55-64 in the household.

presence.adult.Age65To74 string

This indicates the presence (and gender) of adults age 65-74 in the household.

presence.adult.Age75Above string

This indicates the presence (and gender) of adults age 75+ in the household.

Properties: details.finance

Income string

This estimates the self-reported incomes, property values and other proprietary sources.

Discretionaryspendingincome string

Household income after taxes, shelter, food, clothes, transportation, utilities, and healthcare.

Firstmortgageamountinthousands string

First mortgage amount in thousands.

Homemarketvaluetaxrecord string

Home market value (actual value) provided via county/local tax and deed information.

Investmentresources string

This is the estimate of financial and other investments.

Liquidresources integer

This is the estimate of current cash savings.

Shorttermliability string

This is estimate of the credit cards, other loan, auto loan, student loan.

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities..

Wealthresources string

This estimate the value of savings and investments.

Properties: details.demographics

gender string

The gender of the individual.

age.birthday string

The date of birth of the individual.

Properties: details.surveys

purchase.Artscraftsrecency string

Recency of purchase in the Arts & Crafts category.

purchase.Beautyandsparecency string

Recency of purchase in the Beauty and Spa category.

purchase.Beveragesrecency string

Recency of purchase in the Beverages category.

reading.Bestsellingfiction string

Interest present in Household for best selling fiction books

reading.Books string

Interest present in Household for reading books

reading.Childrens string

Interest present in Household for childrens books

reading.Cookingorculinary string

Interest present in Household for bible/devotional books

reading.Countryorlifestyle string

Interest present in Household for country/lifestyle books

reading.Entertainment string

Interest present in Household for entertainment books

reading.Fashion string

Interest present in Household for fashion books

reading.Interior string

Interest present in Household for interior books

reading.Medicalorhealth string

Interest present in Household for medical or health books

reading.Military string

Interest present in Household for military books

purchase.Booksrecency string

Recency of purchase in the Books category.

reading.Romance string

Interest present in Household for romance books

reading.Sports string

Interest present in Household for sports books

reading.Worldnews string

Interest present in Household for world news books

purchase.Clubcontinuity string

Indicates a club/continuity purchase within the last 24 months.

collectibles.Any string

Interest present in Household for any collectibles

collectibles.Artantique string

Interest present in Household for art/antique collectibles

collectibles.Dolls string

Interest present in Household for doll collectibles

collectibles.Figurines string

Interest present in Household for figurine collectibles

donor.Activemilitary string

Interest present in Household for donating for active military causes

donor.Animalwelfare string

Interest present in Household for donating for animal welfare causes

donor.Artsorcultural string

Interest present in Household for donating for arts or cultural causes

donor.Childrens string

Interest present in Household for donating for childrens causes

donor.Charitable string

Interest present in Household for donating for charitable causes

donor.Humanitarian string

Interest present in Household for donating for humanitarian causes

donor.Veteran string

Interest present in Household for donating for veteran causes

donor.Wildlifeenvironmental string

Interest present in Household for donating for wildlife/environmental causes

donor.Worldrelief string

Interest present in Household for donating for world relief causes

social.Facebookuser string

Interest present in Household for using facebook

purchase.Gardenandbackyardrecency string

Recency of purchase in the Garden and Backyard category.

hobby.Any string

Interest present in Household for any hobby

hobby.Automotivework string

Interest present in Household for automotive work as a hobby

hobby.Baking string

Interest present in Household for baking as a hobby

hobby.Birdfeedingorwatching string

Interest present in Household for bird feeding watching foods as a hobby

hobby.Careeradvancementcourses string

Interest present in Household for career advancement courses as a hobby

hobby.Cigarsmoking string

Interest present in Household for cigar smoking as a hobby

hobby.Cooking string

Interest present in Household for cooking as a hobby

hobby.Crafts string

Interest present in Household for craft as a hobby

hobby.Culturalartsorevents string

Interest present in Household for cultural/arts events as a hobby

hobby.Gardening string

Interest present in Household for gardening as a hobby

hobby.Gourmetfoods string

Interest present in Household for gourmet foods as a hobby

hobby.Homeimprovementordiy string

Interest present in Household for home improvement/diy as a hobby

hobby.Homestudycourses string

Interest present in Household for home study courses as a hobby

hobby.Motorcycleriding string

Interest present in Household for motorcycle riding as a hobby

hobby.Photography string

Interest present in Household for photography as a hobby

hobby.Quilting string

Interest present in Household for quilting as a hobby

hobby.Scrapbooking string

Interest present in Household for scrapbooking as a hobby

hobby.Selfimprovementcourses string

Interest present in Household for self improvement courses as a hobby

hobby.Sewingorneedleworkorknitting string

Interest present in Household for sewing/needlework/knitting as a hobby

hobby.Wine string

Interest present in Household for wine as a hobby

hobby.Woodworking string

Interest present in Household for woodworking as a hobby

purchase.Homedecorrecency string

Recency of purchase in the Home Decor category.

purchase.Sweepstakes string

Indicates that at least one individual within the household has made a purchase via sweepstakes within the last 24 months.

social.Instagramuser string

Interest present in Household for using instagram

investments.Juvenilelifeinsurance string

This model indicates the customers who has interest present in Household for Juvenile life insurance

investments.Burialinsurance string

Interest present in Household for burial insurance

investments.Insurance string

Interest present in Household for insurance

investments.Investments string

Interest present in Household for investments

investments.Lifeinsurance string

Interest present in Household for life insurance

investments.Medicarecoverage string

Interest present in Household for medicare coverage

investments.Mutualfunds string

Interest present in Household for mutual funds

investments.Stocksorbonds string

Interest present in Household for stocks or bonds

mailOrder.Any string

Interest present in Household for any mail order

mailOrder.Apparel string

Interest present in Household for apparel mail order

mailOrder.Books string

Interest present in Household for books mail order

mailOrder.Buyer string

Household buys through mail order.

mailOrder.Childrensproducts string

Interest present in Household for children's products mail order

mailOrder.Food string

Interest present in Household for food mail order

mailOrder.Gifts string

Interest present in Household for gifts mail order

mailOrder.Healthorbeautyproducts string

Interest present in Household for health beauty products mail order

mailOrder.Homefurnishing string

Interest present in Household for home furnishing mail order

mailOrder.Jewelry string

Interest present in Household for jewelry mail order

mailOrder.Magazines string

Interest present in Household for magazines mail order

mailOrder.Videosordvd string

Interest present in Household for videos dvd mail order

mailOrder.Womensplusapparel string

Interest present in Household for womens plus apparel mail order

purchase.Maleapparelrecency string

Recency of purchase in the Male Apparel category.

music.Any string

Interest present in Household for any music

music.Classical string

Interest present in Household for classical music

music.Country string

Interest present in Household for country music

music.Jazz string

Interest present in Household for jazz music

music.Rythmandblues string

Interest present in Household for r&b music

music.Rocknroll string

Interest present in Household for rock n roll music

purchase.Musicvideosrecency string

Recency of purchase in the Music/Videos category.

dietConcerns.Naturalfoods string

Interest present in Household for natural foods

dietConcerns.Diet string

Interest present in Household for nutrition diet

dietConcerns.Weightcontrol string

Interest present in Household for weight control

other.Electronics string

Interest present in Household for electronics

other.Grandchildren string

Interest present in Household for grandchildren

other.Militaryveteran string

Interest present in Household for military veteran in household

other.Onlinehousehold string

Interest present in Household for online household

own.Smartphone string

Interest present in Household for owning a smartphone

other.Scienceandnewtechnology string

Interest present in Household for science new/technology

other.Swimmingpool string

Interest present in Household for swimming pool

own.Cat string

Interest present in Household for owning a cat

own.Dog string

Interest present in Household for owning a dog

own.Pets string

Interest present in Household for pets

social.Pinterestuser string

Interest present in Household for using pinterest

purchase.Specialtyfoodsandgiftsrecency string

Recency of purchase in the Special Foods and Gifts category.

sporting.Boatingorsailing string

Interest present in Household for boating/sailingsports

sporting.Campingorhiking string

Interest present in Household for camping/hiking sports

sporting.Cycling string

Interest present in Household for cycling sports

sporting.Fishing string

Interest present in Household for fishing sports

sporting.Fitnessexcercise string

Interest present in Household for fitness/exercise sports

sporting.Golf string

Interest present in Household for golf sports

sporting.Biggamehunting string

Interest present in Household for big game hunting sports

sporting.Huntingorshooting string

Interest present in Household for hunting/shooting sports

sporting.Sportsmerchandiseoractivewearrecency string

Recency of purchase in the Sports Merchandise and Activewear category.

sporting.Nascar string

Interest present in Household for nascar sports

sporting.Runningorjogging string

Interest present in Household for running/jogging sports

sporting.Skiingorsnowboarding string

Interest present in Household for skiing/snowboarding sports

sporting.Sportsparticipation string

Interest present in Household for sports participation

sporting.Walkingforhealth string

Interest present in Household for walking for health sports

sporting.Yogaorpilates string

Interest present in Household for yoga/pilates sports

purchase.Sportsandoutdoorrecency string

Recency of purchase in the Sports and Outdoor Category.

purchase.Toolsandelectronicsrecency string

Recency of purchase in the Tools & Electronics category.

travel.Business string

Interest present in Household for business travel

travel.Cruiseshipvacation string

Interest present in Household for cruise ship vacation

travel.International string

Interest present in Household for international travel

travel.Leisure string

Interest present in Household for leisure travel

travel.Rvvacations string

Interest present in Household for RV vacations

travel.Timeshare string

Interest present in Household for timeshare travel

travel.Travelintheusa string

Interest present in Household for travel in the usa

travel.Traveler string

Interest present in Household for travel

social.Twitteruser string

Interest present in Household for using twitter

Additional Properties

emails object string

Object representing additional known email addresses.

phones object string

Object representing additional known phone numbers.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile from the social platform.

profiles.{platform}.service string

Name of the social platform.

locations[n].city string

The "city" portion of the location address .

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

employment.name string

The name of the organization/place of employment.

employment.current string

Indicator of whether or not this is the current place of employment.

employment.title string

Job or position title.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

education[n].name string

The name of the school/university attended.

education[n].degree string

The degree or focus of study.

education[n].end.year object string

Object representing the last year, month and day attended.

urls[n].value string

The URL of the website.

Properties: details.triggers

type.collegegraduate string

Indicates that an individual within the household has graduated from college.

type.emptynester string

Indicates that children are no longer present within the household.

type.income string

Indicates the household income has had an increase or decrease..

type.newadulttofile string

Indicates a new individual age 25+ to files within the household..

type.nicheswitch string

Niche value after trigger (current Niche).

type.valuescore string

Indicates the ValueScore for the household has had an increase or decrease.

date.incomechange string

This is the estimated Income change date.

date.newadultchange string

This is the estimated adult change date.

date.nicheswitch string

This is the estimated niche switch date.

date.valuescorechange string

The date this event triggered.

Properties: details.marketTrends

switchers.job string

This model ranks consumers based upon their likelihood to switch brands.

enthusiasts.arthousemovie string

This model ranks consumers based upon their likelihood to attend art house movie venues.

enthusiasts.baseball string

This model ranks consumers based upon their likelihood to plan to watch baseball for entertainment.

enthusiasts.basketball string

This model ranks consumers based upon their likelihood to plan to watch basketball for entertainment.

enthusiasts.brandloyalists string

This includes specific brand preferences (Chobani vs. yogurt) and focus on brand vs. price.

enthusiasts.carryout string

This model ranks consumers based upon their likelihood to go to carryout restaurants 3X a week or more.

enthusiasts.casualdining string

This model ranks consumers based upon their likelihood to go to casual dining restaurants 3x a week or more.

enthusiasts.Football string

This model ranks consumers based upon their likelihood to plan to watch football for entertainment.

enthusiasts.Gamingnonmobiledevices string

This model ranks consumers based upon their likelihood to be gaming enthusiasts on non-Mobile devices.

enthusiasts.Hockey string

This model ranks consumers based upon their likelihood to be interested in watching hockey for entertainment.

enthusiasts.Latinmusic string

This model ranks consumers based upon their likelihood to be prefer listening to Latin music relative to other types of music.

enthusiasts.Quickservicerestaurant string

This model ranks consumers based upon their likelihood togo to quick service restaurants 3X a week or more.

enthusiasts.Soccer string

This model ranks consumers based upon their likelihood to be interested in watching soccer on tv.

attendees.amusementpark string

This model ranks consumers based upon their likelihood attend amusement parks.

attendees.livemusicconcert string

This model ranks consumers based upon their likelihood to attend concerts.

buyers.heavylowfatfood string

Greater likelihood to purchase low fat foods.

buyers.onlinehomecleaningproduct string

Increased likelihood to purchase or interested in purchasing home cleaning products online.

buyers.onlinepetfood string

Increased likelihood to purchase or interested in purchasing pet food online.

customers.amazonprimecustomers string

Amazon Prime members who have shopped on Amazon 4+ times in the last 12 months.

customers.annuitycustomers string

Annuity Customers model which ranks consumers based upon their likelihood to buy annuities.

customers.Mensbigandtallapparelcustomers string

This model ranks consumers based upon their likelihood be Men's Big and Tall households

customers.Plantopurchasesmarthomeproductscustomers string

This model ranks consumers based upon their likelihood to be plan to purchase smart home products.

customers.Restaurantloyaltycardcustomers string

This model ranks consumers who use 3+ restaurant loyalty cards regularly

customers.Socialmediapreferencecustomers string

This model ranks consumers based upon their likelihood to review media via social networks.

customers.Subscrorautoshipmenthouseholdproductcustomers string

This model ranks consumers based upon their likelihood to be subscribers.

customers.Womensplussizeapparelcustomers string

This model ranks consumers based upon their likelihood be women's plus size households

consumers.Airlineupgraders string

This model ranks consumers based upon their likelihood to be willing to pay slightly more for an airline coach seat with more legroom (i.e. Delta Comfort or American Main Cabin Extra)at check-in.

consumers.Autoinsurance string

This model ranks consumer who opted for auto insurance

consumers.Cablebundlecableinternethomephone string

This model ranks consumers based upon their likelihood to purchase cable, internet and home phone from the same provider.

consumers.Casinogamer string

This model ranks consumers based upon their likelihood the household is a casino gamer.

consumers.Coinscollector string

This model ranks consumers based upon their likelihood to collect coins.

consumers.Conservativeinvestmentstyleconsumers string

This model ranks consumers based upon their likelihood to invest conservatively.

consumers.Contactlesspayapplicationconsumers string

This model ranks consumers based upon their likelihood touse contactless payment methods.

consumers.Cordcutters string

This model ranks consumers based upon their likelihood not to have cable or paid TV subscriptions.

consumers.Creditcardattritionhouseholds string

This modelranks consumers based upon their likelihood to pay off credit cards or carry zero balance on cards.

consumers.Creditcardrevolvers string

This model ranks consumers based upon their likelihood to revolve credit balances.

consumers.Dietconscioushouseholds string

This model ranks consumers based upon their likelihood to diet for health, eat low sugar, low fat or low calorie food diets, and have an interest in weight loss.

consumers.Doityourselfer string

This model ranks consumers based upon their likelihood to complete their own moderate to large home improvements.

consumers.Futureinvestors string

This model ranks consumers based on their likelihood to be future investors (individuals planning to invest for the first time).

consumers.Homeremodelers string

This model ranks consumers based upon their likelihood to do homer emodeling projects.

consumers.Mealkitdeliveryconsumers string

This model ranks consumers based upon their likelihood to have meal kits delivered.

consumers.Pandemicluxuryspenders string

This model. ranks consumers based upon their likelihood to be luxury spenders during the pandemic.

consumers.Pandemicrisktolerantconsumers string

This model which ranks consumers based upon their likelihood to be risk tolerant during the pandemic.

consumers.Personaltraveler string

This model ranks consumers based upon their likelihood to engage in personal travel at least 11 days per year .

consumers.Retailtexters string

This model ranks consumers based upon their likelihood to open text messages from retailers.

consumers.Retiredbutstillworking string

This model ranks consumers based upon the likelihood to still be employed post-retirement.

consumers.Satellitebundlesatelliteinethomeorwireless string

This model ranks consumers based upon their likelihood to purchase satellite and internet and at least one of home or wireless phone services from the same provider

consumers.Sociallyinfluencedconsumers string

This model ranks consumers based upon their likelihood to be influenced to purchase via social media activity.

consumers.Upcomingretirees65Andolder string

This model ranks consumers based upon their likelihood to retire at age 65 and older in the next 12 months.

consumers.Vehiclediyrs string

This model ranks consumers based upon their likelihood to always do their own vehicle maintenance/repairs.

consumers.Weeklyonlinebankers string

This model ranks consumers based upon their likelihood to bank online at least weekly.

consumers.Wellnesshouseholdshealth string

This model ranks consumers based upon their likelihood to exercise on a regular basis, go to a doctor regularly, eat organic/healthy food diets and have an interest in natural foods.

consumers.Wiredlinevideoconnectors string

This model ranks consumers based upon their likelihood to plan to own aWired Line Video Connector.

donor.Animalwelfaredonors string

This model ranks consumers based upon their likelihood to donate to animal welfare causes.

donor.Cancerdonors string

This model ranks consumers based upon their likelihood to support Cancer cause.

donor.Environmentaldonors string

This model ranks consumers based upon their likelihood to supportEnvironmental cause.

owners.Androidsmartphoneowners string

This model ranks consumers based upon their likelihood to ownAndroid smart phones.

owners.Applesmartphoneowners string

This model ranks consumers based upon their likelihood to own Apple smart phones.

owners.Smarttvowners string

This model ranks consumers based upon their likelihood to own a SmartTV.

travellers.Businesstraveler string

This model ranks consumers based upon their likelihood to travel for business at least 11 days per year.

readers.Avidbookreaders string

This model ranks consumers based upon their likelihood to read 3+ books/month.

readers.Bookreaders string

This model ranks consumers based upon their likelihood to read books.

readers.Entertainmentreaders string

This model ranks consumers based upon their likelihood to read entertainment.

voters.Likelyvoters string

This model ranks consumers based upon their likelihood to vote in the next election.

subscribers.Cabletvpremiumsubscribers string

This model ranks consumers based upon their likelihood to have premium channel service (eg: NFL, HBO, Showtime).

subscribers.Financialhealthnewslettersubscribers string

This model ranks consumers based upon their likelihood to subscribe to newsletters.

subscribers.Satelliteradiosubscribers string

This model ranks consumers based upon their likelihood to subscribe.

purchasers.Autoloanpurchasers string

This model ranks consumers based upon their likelihood to require an auto loan in the next 12 months.

purchasers.Frequentmobilepurchasers string

This model ranks consumers based upon their likelihood to make purchases via their mobile phone.

purchasers.Frequentonlinemusicpurchasers string

This model ranks consumers based upon their likelihood to purchase music online.

purchasers.Impulsepurchasers string

This model ranks consumers who has Increased likelihood shoppers will purchase off list items during in-store shopping.

purchasers.Newluxuryvehiclepurchasers string

This model ranks consumers based upon their likelihood to have purchased a new luxury vehicle.

purchasers.Organicfoodpurchasers string

This model ranks consumers who seek food made from organic raw materials and organic certification.

purchasers.Websurferbrickmortarpurchasers string

This model ranks consumers based upon their likelihood to first surf the web then make purchases in stores.

purchasers.Webandbrickmortarvieweronlinepurchasers string

This model ranks consumers based upon their likelihood to first surf the web and look at products in stores and then make purchases in online.

purchasers.Rvpurchasers string

This model ranks consumers based upon their likelihood to take RV trips.

spenders.Pandemicdecreasedspenders string

This model ranks consumers based upon their likelihood to have decreased spending during the pandemic.

spenders.Vacationspenders string

This model ranks consumers based upon their likelihood to spend$4000+ annually on personal vacations.

shoppers.Bargainhotelshoppers string

This model ranks consumers based upon their likelihood to belong to shop for hotels based upon price concessions.

shoppers.Bargainshoppers string

This model ranks consumers based upon their likelihood to shop on sale or use coupons.

shoppers.Multiretailershoppers string

This model ranks consumer who has Increased likelihood of going to multiple retailers to execute their shopping list and fulfil shopping trip needs.

shoppers.Whatsonsaleshoppers string

This model ranks consumers who has greater likelihood shoppers plan what to buy based on what is on sale and will not purchase products unlesson-sale.

users.Appusers string

This model ranks consumers based upon their likelihood to use apps.

users.Brandmotivatedlaundryusers string

This model ranks consumer who bought laundry product purchase driven by brand and brand loyalty.

users.Creditcardbalancetransferusers string

This model ranks consumers based upon their likelihood to use a credit card to pay balances due on another credit card.

users.Debitcardrewardsusers string

This model ranks consumers based upon their likelihood to choose checking account if it earned Debit CardRewards.

users.Debitcarduser string

This model ranks consumers based upon their likelihood to use a debit card.

users.Heavycouponusers string

This model ranks consumer who has increased likelihood to be active coupon clippers and redeemers.

users.Mobilebankingusers string

This model ranks consumers based upon their likelihood to use GoogleWallet/Apple Pay or Venmo/Abra mobile payment services.

users.Naturalproductpersonalcareproductusers string

This model ranks consumers who has interested in products that have ingredients that are derived from renewable resources like plants and minerals.

users.Onlinesavings string

This model ranks consumers who saves online

users.Publictransportationusers string

This model ranks consumers who opt for public transportation

users.Restaurantappusers string

This model ranks consumer who regularly use 2+ apps for restaurants

users.Restaurantloyaltyappusers string

This model ranks consumer who use restaurant apps that have a connection to a loyalty or rewards program

users.Rewardscardotheruser string

This model ranks consumers based upon their likelihood to use this type of credit card.


Demographic Insights

The Demographic Insights Bundle contains a range of information for a profile, including age,gender, name,location and income estimate details. This insights bundles returns the name,age,gender, household,finance,census,profiles,locations,employment,photos,education, and demographics , and keys in the details object represents a Person Summary.

{
  "name" : {
    "given" : "Angus",
    "family" : "De Vaca",
    "full" : "Angus De Vaca"
  },
  "age" : {
    "range" : "40-49",
    "value" : 40
  },
  "gender" : "Male",
  "household" : {
    "homeInfo" : {
      "maritalStatus" : "At least 1 single",
      "householdOccupation" : "Lawyers-Judges"
    },
    "presence" : {
      "presenceOfChildren" : "Y"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "discretionarySpendingIncome" : "$65,000 - $74,999",
      "firstMortgageAmountInThousands" : "5147",
      "homeMarketValueTaxRecord" : "453",
      "shortTermLiability" : "$50,000 or more",
      "netWorth" : "$150,000 - $249,999",
      "wealthResources" : "$250,000 - $499,999",
      "paymentMethodCreditCard" : "Y"
    }
  },
  "demographics" : {
    "gender" : "Male",
    "age" : {
      "range" : "40-49",
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : {
    "twitter" : {
      "url" : "https://twitter.com/hspangus",
      "service" : "twitter"
    },
    "linkedin" : {
      "url" : "https://www.linkedin.com/in/hspangus",
      "bio" : "Connect with me on LinkedIn",
      "service" : "linkedin"
    }
  },
  "locations" : [ {
    "city" : "Denver",
    "region" : "Colorado",
    "regionCode" : "CO",
    "country" : "United States",
    "countryCode" : "US",
    "formatted" : "Denver, Colorado, United States"
  } ],
  "employment" : [ {
    "name" : "Self-employed",
    "current" : true,
    "title" : "Independent Consultant"
  } ],
  "photos" : [ {
    "label" : "Avatar",
    "value" : "https://img.fullcontact.com/static/b3d621eec2c09cafb35e3575b4946719_95fa934eff5e1713d8ce53e2301d3f3ac304570a34418c443d3e9ef69f1a1d7e"
  } ],
  "education" : [ {
    "name" : "CSU",
    "degree" : "PhD, Marketing and Communications",
    "end" : {
      "year" : 2001,
      "month" : 5,
      "day" : 25
    }
  } ],
  "urls" : [ {
    "value" : "https://angusdeva.ca/blog"
  } ],
  "marketTrends" : {
    "users" : {
      "brandedRetailCreditCard" : "Highly Likely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

gender string

The gender of the individual.

details.name.given string

The given name (first name) of the individual.

details.name.family string

The family name (last name) of the individual.

details.age.range string

An age range of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

maritalinfo.Maritalstatus string

This estimates the Marital status of individual.

homeInfo.Householdoccupation string

This estimates the most prominent known profession of everybody in the household.

presence.Presenceofchildren string

This estimates the Child present in household.

Properties: details.finance

Income string

This estimates the self-reported incomes, property values and other proprietary sources.

Discretionaryspendingincome string

Household income after taxes, shelter, food, clothes, transportation, utilities, and healthcare.

Firstmortgageamountinthousands string

First mortgage amount in thousands.

Homemarketvaluetaxrecord string

Home market value (actual value) provided via county/local tax and deed information.

Investmentresources string

This is the estimate of financial and other investments.

Liquidresources integer

This is the estimate of current cash savings.

Shorttermliability string

This is estimate of the credit cards, other loan, auto loan, student loan.

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities..

Wealthresources string

This estimate the value of savings and investments.

Paymentmethodcreditcard string

This indicates that an individual in the household has made a purchase using a credit card.

Properties: details.demographics

gender string

The gender of the individual..

age.range string

An age range of the individual.

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

Additional Properties

emails object string

Object representing additional known email addresses.

phones object string

Object representing additional known phone numbers.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile from the social platform.

profiles.{platform}.service string

Name of the social platform.

locations[n].city string

The "city" portion of the location address .

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

employment.name string

The name of the organization/place of employment.

employment.current string

Indicator of whether or not this is the current place of employment.

employment.title string

Job or position title.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

education[n].name string

The name of the school/university attended.

education[n].degree string

The degree or focus of study.

education[n].end.year object string

Object representing the last year, month and day attended.

urls[n].value string

The URL of the website.

Properties: details.marketTrends

users.Brandedretailcreditcardusers string

This model ranks the consumers based upon their likelihood to open cards specific to individual retailers or open cards to accrue points for use at retailer..

Consumer Email

The Consumer Email Bundle provides you with the name and best personal email address for targeting your customers and prospects. The data for this bundle will be returned in the name and emails keys in the details portion of a Person Summary object.

"name" : {
   "given" : "Bart",
   "family" : "Lorang",
   "full" : "Bart Lorang"
 },
"emails": [
  {
    "label": "consumer",
    "value": "[email protected]",
  }
]
Properties: details.emails

label string

The type classification of email address for this bundle, which is 'consumer'

value string

The personal email address for the individual

Core Segmentation

The Core Segmentation Bundle provides you with core demographic data about your customers and prospects. These 16+ most used data elements allow you to segment your customers and prospects to quickly create actionable audiences for targeting, personalization and insights.

{
    "fullName": "Bob Jones Smite",
    "ageRange": "40-49",
    "gender": "Male",
    "location": null,
    "title": null,
    "organization": null,
    "twitter": null,
    "linkedin": null,
    "bio": null,
    "avatar": null,
    "website": null,
    "details": {
        "name": {
            "given": "Bob",
            "family": "Smith",
            "middle": "Jones",
            "full": "Bob Jones Smite"
        },
        "age": {
            "birthday": {
                "year": 1982,
                "month": 7,
                "day": 24
            },
            "range": "40-49",
            "value": 42
        },
        "gender": "Male",
        "household": {
            "familyInfo": {
                "numberOfChildren": "Less Than 3"
            },
            "homeInfo": {
                "dwellingType": "S",
                "ownerOrRenter": "H"
            },
            "locationInfo": {
                "coreBasedStatisticalArea": "19740"
            },
            "presence": {
                "childUnder6": "Y",
                "presenceOfChildren": "Y"
            },
            "finance": {
                "householdIncomeEstimate": "$200,000-$249,999",
                "netWorthRange": "$500,000-$749,999"
            }
        },
        "demographics": {
            "gender": "Male",
            "age": {
                "birthday": {
                    "year": 1970,
                    "month": 7,
                    "day": 24
                },
                "range": "40-49",
                "value": 42
            },
            "maritalStatus": "M",
            "language": "English"
        },
        "emails": [],
        "phones": [],
        "profiles": {},
        "locations": [
            {
                "city": "Lakeville",
                "regionCode": "MN",
                "postalCode": "55120"
            }
        ],
        "employment": [],
        "photos": [],
        "education": [],
        "urls": [],
        "interests": []
    },
    "updated": "2024-08-26"
}
Properties: details.locations

City string

The "city" portion of the location address.

State string

The region portion of the location address, typically a state or province.

ZIP Code string

An abbreviated or code-based representation of the region.

Properties: details.details

Name string

Full name.

Age string

Estimated age range.

Gender string

Gender of the individual.

Marital Status string

M = Married
S = Single

Language string

Primary language spoken.

CBSA string

Core Base Statistical Area (Census Data)

Dwelling Type string

S = Single-family home
M = multi-family home

Home Ownership string

H = Home Owner
R = Renter
O = Probable Home Owner
P = Probable Renter
U = Unknown

Income string

Estimated annual household income.

Net Worth string

Estimated household net worth.

Presense of Children string

Yes/No flag for children in the household.

Number of Children string

Estimated number of children in the household.

Email Hash Activity

The Email Hash Activity Insights Add-On will return additional insights for the hashed versions of known email addresses associated with the profile including first seen and last seen timestamps along with an associated activity score of HIGH, MEDIUM or LOW. The returned hashed email addresses and associated insights can then be used as identity verification and fraud signals or for enhanced marketing activation efforts. The max number of hashed email addresses that can be returned are 20.

This Insights will be returned within the emails key in the details object of a Person Summary object.

"details": {
"emails": [
{
"label": "Other",
"md5": "bbbe3f5df1bf8d823058ba60addfa7f5",
"sha256": "12ca252e3570e9f88468e8b30b247d1c5cb38827f3d5cacf4b35cd6130edf899",
"sha1": "a3fd93ec1eed8cb245c99701f9107686ca9b40f9"
"firstSeen": "2009-01-01",
"lastSeen": "2021-12-27",
"activity": "HIGH"
},
...
]
},
Properties

label string

An indicator of the source or type of email. If provided in the Person request, the value will be provided, otherwise, hash.

md5 string

The MD5 hash representation for a given email address.

sha1 string

The SHA-1 hash representation for a given email address.

sha256 string

The SHA-256 hash representation for a given email address.

firstSeen string

The timestamp (YYYY-MM-DD) of the first time FullContact has seen a given email address.

lastSeen string

The timestamp (YYYY-MM-DD) of the last time FullContact has seen a given email address.

activityScore string

An associated activity score (HIGH, MEDIUM, LOW) for a given email address based on events such as number or observances, number of sources, etc.

Email Hashes

The Hashed Email Insights Bundle will return hashed versions of known email addresses associated with the profile. The returned hashed email addresses, available in both MD5, SHA-1 and SHA-256 variations, can then be used to help link our profiles with your data. The max number of hashed email addresses that can be returned are 20. The hashes represent normalized versions of the plain-text email, both all-lowercase and all-uppercase types of normalization.

Each email, we can designate it as work, consumer, education, government, or other.
This Insights Bundle will be returned within the emails key in the details object of a Person Summary object.

Should you wish to specify the hashed email variation that is returned you can use FullContact's Hashed Email Type Filter to specify MD5, SHA1 or SHA256.

"details": {
"emails": [
{
"label": "consumer",
"md5": "bbbe3f5df1bf8d823058ba60addfa7f5",
"sha256": "12ca252e3570e9f88468e8b30b247d1c5cb38827f3d5cacf4b35cd6130edf899",
"sha1": "a3fd93ec1eed8cb245c99701f9107686ca9b40f9"
},
{
"label": "consumer",
"md5": "bff762e6541d05b68d80004d5e318577",
"sha256": "f7c44dcfc5fac647dfb7cac08adf412ba59f8a85e178fe8dc8f0aa58bd6aa3d0",
"sha1": "f7c9e9d78084c792db4962e1fb55076b0b10788d"
},
{
"label": "work",
"md5": "6d92c3c3b7e8fe1a1c4991c3242fff21",
"sha256": "57c469b370eef607ebe0af462300ade7413a46d4893071f477d92888c416387e",
"sha1": "a42b4d848c94fd5675ffc7c7f6f6909374e5872b"
}
]
},
Properties

label string

An indicator of the source or type of email. If provided in the Person request, the value will be provided, otherwise, hash.

md5 string

The MD5 hash representation for a given email address.

sha1 string

The SHA-1 hash representation for a given email address.

sha256 string

The SHA-256 hash representation for a given email address.

Email Signals

The Email Signals Bundle returns event data on how an email address has engaged with email marketing campaigns. Output is associated to the single email input provided.

{
  ...,
"emailSignals": {
        "firstOpen": {
            "timestamp": "2024-12-28T00:00:00Z"
        },
        "lastOpen": {
            "timestamp": "2024-12-28T00:00:00Z"
        },
        "firstClick": {
            "timestamp": "2024-12-28T00:00:00Z"
        },
        "lastClick": {
            "timestamp": "2024-12-28T00:00:00Z"
        },
        "lastReply": {
            "timestamp": "2024-12-28T00:00:00Z"
        },
        "unsubscribe": {
            "timestamp": "2024-12-28T00:00:00Z"
        },
        "lastBounce": {
            "type": "soft",
            "timestamp": "2025-01-07T06:40:11Z"
        },
        "softBounce30days": {
            "total": 0
        }
    }
...
}
Properties

firstOpen Object

An object with the timestamp of the first recognized open email event associated to email input

lastOpen Object

An object with the timestamp of the last recognized open email event associated to email input

firstClick Object

An object with the timestamp of the first recognized click email event associated to email input

lastClick Object

An object with the timestamp of the last recognized click email event associated to email input

lastReply Object

An object with the timestamp of the last recognized reply email event associated to email input

unsubscribe Object

An object with the timestamp of when the associated email unsubscribed from a marketing campaign.

lastBounce Object

An object with the timestamp of the last recognized bounce email event associated to email input in addition to what time of bounce hard vs soft

softBounce30days Object

An object with the total number of times the associated email has had a soft bounce in the last 30 days

Employment History

The Employment History Insights Bundle returns current and historical employment history for a given contact.
This data includes the organization and title during employment and approximate start and end dates.
This Insights Bundle will be returned within the employment key in the details object of a
Person Summary object.

{"employment": [
  {
    "name": "ACME, Inc",
    "domain": "acme.com",
    "current": false,
    "title": "Widget Maker",
    "start": {
      "year": 2010,
      "month": 6,
      "day": 1
    },
    "end": {
      "year": 2015,
      "month": 10,
      "day": 15
    }
  },
  ...
]}
Properties

name string

The name of the organization/place of employment.

domain string

The website domain of the place of employment.

current boolean

Indicator of whether or not this is the current place of employment.

title string

Job or position title.

start object

Object representing start date, with properties for year, month and day returned as integers.

end object

Object representing end date, with properties for year, month and day returned as integers.

Individual

The Individual Insights Bundle contains a range of information for a profile, including age,gender and name details, along with any known locations for the profile. This Insights Bundle will be returned in the name, age, gender, locations and education keys in the details object represents a Person Summary.

{
    "details": {
        "name": {
            "given": "Angus",
            "family": "de Vaca",
            "full": "Angus de Vaca"
        },
        "age": {
            "range": "25-34",
            "value": 27
        },
        "gender": "Male",
        "demographics": {
            "gender": "Male",
            "age": {
                "range": "35-44",
                "value": 40
            }
        },
        "emails": [],
        "phones": [],
        "profiles": {
            "twitter": {
                "url": "https://twitter.com/hspangus",
                "service": "twitter"
            },
            "linkedin": {
                "url": "https://www.linkedin.com/in/hspangus",
                "bio": "Connect with me on LinkedIn",
                "service": "linkedin"
            }
        },
        "locations": [
            {
                "city": "Denver",
                "region": "Colorado",
                "regionCode": "CO",
                "country": "United States",
                "formatted": "Denver, Colorado, United States"
            }
        ],
        "employment": [
            {
                "name": "Self-employed",
                "current": true,
                "title": "Independent Consultant"
            }
        ],
        "photos": [
            {
                "label": "Avatar",
                "value": "https://img.fullcontact.com/static/b3d621eec2c09cafb35e3575b4946719_95fa934eff5e1713d8ce53e2301d3f3ac304570a34418c443d3e9ef69f1a1d7e"
            }
        ],
        "education": [
            {
                "name": "CSU",
                "degree": "PhD, Marketing and Communications",
                "end": {
                    "year": 2001,
                    "month": 5,
                    "day": 25
                }
            }
        ],
        "urls": [
            {
                "value": "https://angusdeva.ca/blog"
            }
        ],
    },
}
Properties

name.give string

The given name (first name) of the individual.

name.family string

The family name (last name) of the individual.

name.full.name string

The full name (first and last) of the individual.

age.range string

An age range of the individual.

age.value string

The age in years of the individual.

age.birthday string

The date of birth of the individual.

gender string

The gender of the individual.

demographics.age.range string

An age range of the individual.

demographics.age.value string

The age in years of the individual.

emails object string

This will be an empty object unless Email Hashes or the Professional bundle is enabled.

phones object string

This will be an empty object unless the Professional bundle is enabled.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile from the social platform.

profiles.{platform}.service string

Name of the social platform.

locations[n].city string

The "city" portion of the location address .

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

employment.name string

The name of the organization/place of employment.

employment.current string

Indicator of whether or not this is the current place of employment.

employment.title string

Job or position title.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

education[n].name string

The name of the school/university attended.

education[n].degree string

The degree or focus of study.

education[n].end.year object string

Object representing the last year, month and day attended.

urls[n].value string

The URL of the website.

<>

Mobile Advertising IDs (MAIDs)

The Mobile Advertising IDs (MAIDs) Insights Bundle allows you to connect your customers’ online/mobile contact elements and combines them with offline identity information. In the response, you can receive up to the 5 most recent MAIDs. This Insights Bundle will be returned in the identifiers key in the details object of the Person Summary object.

Should you wish to increase or decrease the number of MAIDs you receive back on an individual you can leverage FullContact's Maximum Number of MAIDs request parameter and add it to any/all of your API requests.

"identifiers": {
    "maids": [{
        "id": "ape2ch30-pifn-cbvi-30yy-nia-zex7aw5u",
        "type": "aaid"
    }]
}
Properties: details.identifiers.maids

id string

The mobile advertising id of the individual.

type string

The MAID type (e.g. IDFA or AAID).


Premium Address

The Premium Address Insights Bundle returns the name and full address, include street address and zip code for an individual. The data for this bundle will be returned in the name and locations keys in the details portion of a Person Summary object.

"name" : {
   "given" : "Bart",
   "family" : "Lorang",
   "full" : "Bart Lorang"
 },
"locations": [
  {
    "addressLine1": "10221 Vargo Dr.",
    "city": "Indianapolis",
    "region": "Indiana",
    "regionCode": "IN",
    "postalCode": "46239",
    "country": "United States",
    "countryCode": "US"
  }
]
Properties: details.locations

addressLine1 string

The street address of the individual

city string

City portion of the address

region string

State portion of the address

regionCode string

Two letter abbreviation for the state

postalCode string

Postal code portion of the address

country string

Country portion of the address

countryCode string

Two-letter abbreviation code for the country


Professional

The Professional Insights Bundle returns current professional contact details. This data will include the company address for the current place of employment, professional email address, business phone and additional industry details associated to the profile. This Insights Bundle will be returned in the employment, emails and phones keys in the details portion of a Person Summary object.

"emails": [
  {
    "label": "work",
    "value": "[email protected]"
  }
],
"phones": [
  {
    "label": "work",
    "value": "+16783335367"
    }
  ],
"employment": [
  {
    "name": "Zero Confusion, LLC",
    "domain": "zeroconfusion.net",
    "current": true,
    "title": "Chief Executive Officer",
    "start": {
      "year": 2010,
      "month": 6,
      "day": 1
    },
    "locations": [
      {
        "city": "Denver",
        "region": "Colorado",
        "regionCode": "CO",
        "formatted": "Denver, Colorado, United States"
      }
    ]
  }
]
Properties: details.email

label string

The classification of the email.

value string

The professional email address of an individual.

Properties: details.phone

details.phones[n].label string

The classification of the phone.

details.phones[n].value string

A phone number associated with the individual's company.

Properties: details.employment

name string

The name of the organization/place of current employment.

domain string

The website domain of the current place of employment.

current boolean

Indicator of whether or not this is the current place of employment.

title string

Job or position title.

start object

Object representing start date, with properties for year, month and day returned as integers.

end object

Object representing end date, with properties for year, month and day returned as integers.

locations[n].city string

The "city" portion of the location address.

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

Resolve

The Resolve Insights Bundle takes customer contact fragments and allows for the ability to connect the disparate data for each consumer and provide back a persistent, unique person ID. This Insights Bundle will be returned within the identifiers key in the details object of a Person Summary object. If you want to learn more on how Resolve can help your business please contact our Sales team or learn more by checking out Resolve Overview

{
  "identifiers": {
    "personIds": [
          "eYxWc0B-dKRxerTw_uQpxCssM_GyPaLErj0Eu3y2FrU6py1J"
      ]
    }
}

Social

The Social Insights Bundle enables API consumers to retrieve a list of known social profiles of a given contact, returning data for each social platform such as any applicable usernames/handles, the URL of the platform, any bio that the user supplied, and more. Additionally, any profile pictures and URLs to other websites associated with the contact will be returned. This Insights Bundle will be returned within the profiles, photos, and urls keys in the details object of a Person Summary object.

"profiles": {
  "twitter": {
    "username": "bartlorang",
    "userid": "5998422",
    "url": "https://twitter.com/bartlorang",
    "bio": "CEO & Co-Founder of @FullContact, Managing Director @v1vc_. Tech Entrepreneur, Investor. Husband to @parkerbenson and Father to Greyson Lorang",
    "service": "twitter",
    "followers": 5454,
    "following": 741
  },
  ...
},
"photos": [
  {
    "label": "avatar",
    "value": "https://d2ojpxxtu63wzl.cloudfront.net/static/a7e6a5aba590d4933e35eaadabd97fd2_44e00e968ac57725a15b32f9ca714827aff8e4818d290cb0c611f2e2585253b3"
  }
],
"urls": [
  {
    "label": "blog",
    "value": "http://sample.blog.com"
  }
]
Properties

profiles.{platform}.username string

Displayable username of the profile.

profiles.{platform}.userid string

User ID associated with the profile.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile form the social platform.

profiles.{platform}.service string

Name of the social platform.

profiles.{platform}.followers integer

Number of follows of the profile, if applicable.

profiles.{platform}.following integer

Number of profiles or topics the user is following, if applicable.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

urls[n].label string

The type of URL/website.

urls[n].value string

The URL of the website.

Vertical Bundles

Automotive

The Automotive Insights Bundle contains the most core information related to the vehicles/owners and the networth of your customers and prospects. This is especially useful for segmentation projects and the keys in the details object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "surveys" : {
    "hobby" : {
      "automotiveWork" : "Y"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "buyers" : {
      "autoInsuranceSelfServeOnline" : "Highly Likely"
    },
    "customers" : {
      "autoInsurancePremiumDiscountviaTelematicsCustomer" : "Likely"
    },
    "consumers" : {
      "autoInsurance" : "Highly Likely",
      "autoInsuranceAgentSold" : "Likely",
      "autoInsuranceCallCenterSold" : "Likely",
      "longRoadTripTakers" : "Likely",
      "rentersandAutoInsuranceJointPolicyHolders" : "Likely",
      "vehicleDIYrs" : "Likely"
    },
    "travellers" : {
      "rvtripTakers" : "Unlikely"
    },
    "purchasers" : {
      "autoLoan" : "Likely",
      "newLuxuryVehicle" : "Unlikely",
      "newnonLuxuryVehicle" : "Highly Likely",
      "vehicle" : "Highly Likely",
      "rv" : "Likely"
    },
    "users" : {
      "publicTransportation" : "Highly Likely",
      "uberOrLyft" : "Unlikely",
      "vehicleServiceCenter" : "Likely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

Properties: details.survey

hobby.Automotivework string

Interest present in Household for automotive work as a hobby.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Additional Properties

emails object string

Object representing additional known email addresses.

phones object string

Object representing additional known phone numbers.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile from the social platform.

profiles.{platform}.service string

Name of the social platform.

locations[n].city string

The "city" portion of the location address .

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

employment.name string

The name of the organization/place of employment.

employment.current string

Indicator of whether or not this is the current place of employment.

employment.title string

Job or position title.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

education[n].name string

The name of the school/university attended.

education[n].degree string

The degree or focus of study.

education[n].end.year object string

Object representing the last year, month and day attended.

urls[n].value string

The URL of the website.

Properties: details.marketTrends

Buyers.Autoinsuranceselfserveonlinebuyers string

This model ranks consumers based upon their likelihood to purchase auto insurance online without the help of an agent.

customers.Autoinsurancepremiumdiscountviatelematicscustomer string

This model ranks consumers based upon their likelihood to purchase telematics for their vehicle to get auto insurance discounts.

consumers.Autoinsurance string

This model predicts whether an individual has auto insurance

consumers.Autoinsuranceagentsold string

This model ranks consumers based upon their likelihood to have purchased auto insurance through an agent.

consumers.Autoinsurancecallcentersold string

This model ranks consumers based upon their likelihood to have purchased auto insurance through a call center.

consumers.Longroadtriptakers string

This model ranks consumers based upon their likelihood to take long road trips.

consumers.Rentersandautoinsurancejointpolicyholders string

This model ranks consumers based upon their likelihood to have renter and auto insurance with same carrier.

consumers.Vehiclediyrs string

This model ranks consumers based upon their likelihood to always do their own vehicle maintenance/repairs.

travellers.Rvtriptakers string

This model ranks consumers based upon their likelihood to take RV trips.

purchasers.Autoloanpurchasers string

This model ranks consumers based upon their likelihood to require an auto loan in the next 12 months.

purchasers.Newluxuryvehiclepurchasers string

This model ranks consumers based upon their likelihood to have purchased a new luxury vehicle.

purchasers.Newnonluxuryvehiclepurchasers string

This model ranks consumers based upon their likelihood to have purchased a new non-luxury vehicle.

purchasers.Vehiclepurchaser string

This model ranks consumers based upon their likelihood to purchase/lease a vehicle in next 12 months.

purchasers.Rvpurchasers string

This model ranks consumers based upon their likelihood to take RV trips.

users.Publictransportationusers string

This model ranks consumers based on their likelihood to regularly use public transportation (eg: trains, bus).

users.Uberlyftusers string

This model ranks consumers based on their likelihood to use a private ride-sharing service.

users.Vehicleservicecenterusers string

This model ranks consumers based upon their likelihood to always service their vehicle at service centers (Midas, Sears) versus going to a local auto mechanic.

Consumer Packaged Goods

The Consumer Packaged Goods Insights Bundle provides the core information related to the market trends/purchase behaviours of your customers and prospects and keys in the details object of a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "switchers" : {
      "alcoholBeverage" : "Highly Likely",
      "beerBrand" : "Likely",
      "breakfastMeatBrand" : "Highly Likely",
      "chocolateCandyBrand" : "Highly Likely",
      "cocaColaBrand" : "Likely",
      "coldCerealBrand" : "Highly Likely",
      "energyDrink" : "Highly Likely",
      "frozenFoodBrand" : "Highly Likely",
      "householdCleaningProductsBrand" : "Highly Likely",
      "naturalCheeseSlicesBrand" : "Likely",
      "naturalShreddedCheeseBrand" : "Likely",
      "nutritionalHealthBarBrand" : "Likely",
      "refrigeratedLunchMeatBrand" : "Likely",
      "snackBarGranolaBarBrand" : "Highly Likely",
      "softDrinksBrand" : "Likely",
      "spiritsBrand" : "Highly Likely",
      "yogurtBrand" : "Unlikely"
    },
    "seekers" : {
      "freshFood" : "Likely",
      "homeCleaningNewProduct" : "Highly Likely",
      "laundryNewProduct" : "Highly Likely",
      "personalCareNewProduct" : "Likely",
      "premiumNaturalHomeCleaners" : "Likely",
      "scent" : "Unlikely",
      "unscentedProduct" : "Likely"
    },
    "enthusiasts" : {
      "brandLoyalists" : "Likely",
      "convenienceHomeCleaners" : "Highly Likely",
      "domesticBeer" : "Highly Likely",
      "hardCider" : "Unlikely",
      "hardSeltzer" : "Likely",
      "importBeer" : "Likely",
      "kroger" : "Unlikely",
      "liquor" : "Unlikely",
      "petsAreFamily" : "Unlikely",
      "redWine" : "Highly Likely",
      "target" : "Likely",
      "valueChains" : "Highly Likely",
      "walmart" : "Unlikely",
      "whiteWine" : "Highly Likely"
    },
    "buyers" : {
      "heavyFiberFocusedFood" : "Unlikely",
      "heavyGlutenFreeFood" : "Highly Likely",
      "heavyLowFatFood" : "Unlikely",
      "onlineHomeCleaningProduct" : "Unlikely",
      "onlineLaundryProduct" : "Highly Likely",
      "onlinePersonalCareProduct" : "Likely",
      "onlinePetFood" : "Highly Likely"
    },
    "chef" : {
      "experimental" : "Highly Likely",
      "master" : "Highly Likely",
      "realIngredient" : "Likely"
    },
    "customers" : {
      "clicktoCartHomeDelivery" : "Highly Likely",
      "clicktoCartPickUp" : "Likely",
      "groceryLoyaltyCard" : "Likely"
    },
    "consumers" : {
      "freshFoodDelivery" : "Likely",
      "groceryStoreFrequenters" : "Likely",
      "lowSodium" : "Highly Likely",
      "naturalGreenProductHomeCleaners" : "Highly Likely",
      "pandemicLuxurySpenders" : "Likely",
      "vegetarians" : "Highly Likely"
    },
    "owners" : {
      "veterinarianInfluencedPet" : "Unlikely"
    },
    "readers" : {
      "label" : "Highly Likely",
      "retailerCircular" : "Highly Likely"
    },
    "subscribers" : {
      "retailerEmail" : "Unlikely"
    },
    "planners" : {
      "budgetMeal" : "Highly Likely",
      "meal" : "Highly Likely",
      "preShop" : "Unlikely"
    },
    "purchasers" : {
      "brandDrivenHomeCleaners" : "Highly Likely",
      "greenProduct" : "Unlikely",
      "impulse" : "Unlikely",
      "organicFood" : "Unlikely",
      "organicProduct" : "Likely"
    },
    "spenders" : {
      "pandemicDecreasedSpenders" : "Likely"
    },
    "shoppers" : {
      "everydayLowPrice" : "Likely",
      "multiRetailer" : "Likely",
      "oneStop" : "Likely",
      "priceMatchers" : "Highly Likely",
      "privateLabel" : "Likely",
      "quickShopAtWalmartOrTarget" : "Likely",
      "stockUp" : "Unlikely",
      "whatsOnSale" : "Likely"
    },
    "stores" : {
      "stockUpAtGroceryStores" : "Unlikely",
      "stockUpAtWalmart" : "Unlikely"
    },
    "users" : {
      "brandMotivatedLaundry" : "Likely",
      "brandMotivatedPersonalCareProduct" : "Unlikely",
      "convenienceDrivenPersonalCareProduct" : "Highly Likely",
      "groceryStoreApp" : "Unlikely",
      "heavyCoupon" : "Likely",
      "mobileShoppingList" : "Likely",
      "naturalProductPersonalCareProduct" : "Likely",
      "paperShoppingList" : "Unlikely",
      "premiumNaturalPersonalCareProduct" : "Highly Likely",
      "priceMotivatedLaundryProduct" : "Highly Likely",
      "priceMotivatedPersonalCareProduct" : "Likely",
      "targetCartwheel" : "Unlikely",
      "walmartSavingCatcher" : "Unlikely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

Properties: details.survey

hobby.Automotivework string

Interest present in Household for automotive work as a hobby.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Additional Properties

emails object string

Object representing additional known email addresses.

phones object string

Object representing additional known phone numbers.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile from the social platform.

profiles.{platform}.service string

Name of the social platform.

locations[n].city string

The "city" portion of the location address .

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

employment.name string

The name of the organization/place of employment.

employment.current string

Indicator of whether or not this is the current place of employment.

employment.title string

Job or position title.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

education[n].name string

The name of the school/university attended.

education[n].degree string

The degree or focus of study.

education[n].end.year object string

Object representing the last year, month and day attended.

urls[n].value string

The URL of the website.

Properties: details.marketTrends

switchers.Alcoholbeverage string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Beerbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Breakfastmeatbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Chocolatecandybrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Cocacolabrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Coldcerealbrand string

This model which ranks consumers based upon their likelihood to switch brands.

switchers.Energydrink string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Frozenfoodbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Householdcleaningproductsbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Naturalcheeseslicesbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Naturalshreddedcheesebrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Nutritionalhealthbarbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Refrigeratedlunchmeatbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Snackbargranolabarbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Softdrinksbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Spiritsbrand string

This model ranks consumers based upon their likelihood to switch brands.

switchers.Yogurtbrand string

This model ranks consumers based upon their likelihood to switch brands.

seekers.Freshfood string

This model indicates customers who are interested in and purchase fresh food (grocery perimeter items).

seekers.Homecleaningnewproduct string

This model indicates customers who actively seeks and interested in new home cleaning products.

seekers.Laundrynewproduct string

This model indicates customers who actively seeks and interested in new laundry products.

seekers.Personalcarenewproduct string

This model indicates customers who actively seeks and interested new personal care products.

seekers.Premiumnaturalhomecleaners string

This model indicates customers who are willing to pay price premium for natural home cleaning products.

seekers.Scent string

This model indicates customers who seeks products with scents across categories

seekers.Unscentedproduct string

This model indicates customers who seeks unscented or fragrance free products across categories.

enthusiasts.Brandloyalists string

This model includes specific brand preferences (Chobani vs. yogurt) and focus on brands vs. price.

enthusiasts.Conveniencehomecleaners string

This model indicates tge greater likelihood to be interested in products that make home cleaning easier.

enthusiasts.Domesticbeer string

This model ranks consumers based upon their likelihood to consume domestic beer.

enthusiasts.Hardcider string

This model ranks consumers based upon their likelihood to consume hard cider.

enthusiasts.Hardseltzer string

This model ranks consumers based upon their likelihood to consume hard seltzer.

enthusiasts.Importbeer string

This model ranks consumers based upon their likelihood to consume import beer.

enthusiasts.Kroger string

Shop at Kroger at least once per week and have a loyalty. Rewards card and use the store app

enthusiasts.Liquor string

This model ranks consumers based upon their likelihood to consume liquor.

enthusiasts.Petsarefamily string

Greater likelihood pet is treated as family member (in photos, birthday celebrations, goes to spa).

.enthusiasts.Redwine string

This model ranks consumers based upon their likelihood to consume red wine.

.enthusiasts.Targetenthusiast string

Greater likelihood shoppers are loyal and supporters ofTarget.

enthusiasts.Valuechains string

Shop at value chains at least once per week and have a loyalty/rewards card and use the store app(s)

enthusiasts.Walmartenthusiast string

Greater likelihood shoppers are loyal and supporters ofWalmart.

enthusiasts.Whitewine string

This model ranks consumers based upon their likelihood to consume white wine.

buyers.Heavyfiberfocusedfoodbuyers string

Greater likelihood to purchase product high in fiber.

buyers.Heavyglutenfreefoodbuyers string

Greater likelihood to product without gluten.

buyers.Heavylowfatfoodbuyers string

Greater likelihood to purchase low fat foods.

buyers.Onlinehomecleaningproductbuyers string

Increased likelihood to purchase or interested in purchasing home cleaning products online.

buyers.Onlinelaundryproductbuyers string

Increased likelihood to purchase or be interested in purchasing laundry product online.

buyers.Onlinepersonalcareproductbuyers string

Increased likelihood to purchase or interested in purchasing personal care products online.

buyers.Onlinepetfoodbuyers string

Increased likelihood to purchase or interested in purchasing pet food online.

chef.Experimentalcooks string

Cooks that like to explore new recipes and meal ideas.

chef.Mastercook string

Skilled cooks that enjoy the experience of cooking.

chef.Realingredientcook string

Cook ingredients that take additional preparation work(buy lettuce vs. bagged salad).

customers.Clicktocarthomedeliverycustomers string

This model predicts the customers who has shopped for groceries online and had them delivered to their home in the last 12 months.

customers.Clicktocartpickupcustomers string

This model predicts the customers who has shopped for groceries online and picked them up at the store in the last 12 months

customers.Groceryloyaltycardcustomers string

This model predicts the customers who use 3+ grocery store loyalty/rewards cards regularly

consumers.Freshfooddeliveryconsumers string

This model ranks consumers based upon their likelihood to have fresh food delivered.

consumers.Grocerystorefrequenters string

This model ranks consumers based upon their likelihood to frequently shop at grocery stores.

consumers.Lowsodiumconsumers string

This model ranks consumers based upon their likelihood to have low sodium diets.

consumers.Naturalgreenproducthomecleaners string

This model ranks consumers who are Interested in products that have ingredients that are derived from renewable resources or are environment healthy.

consumers.Pandemicinrestaurantdiners string

This model which ranks consumers based upon their likelihood to dine in restaurants during the pandemic.

consumers.Vegetarians string

This model ranks consumers based upon their likelihood to be vegetarians..

owners.Veterinarianinfluencedpetowners string

This model estimates that the Pet food owner is more likely to follow veterinarian recommendations for pet food.

readers.Labelreaders string

Reader of product labels.

readers.Retailercircularreaders string

This model ranks Shoppers who have an increased likelihood to research trips by reviewing newspaper or digital circulars.

subscribers.Retaileremailsubscribers string

This model ranks the likelihood to subscribe to retailer emails.

planners.Budgetmealplanners string

Plan meals in advance to manage budgets and stretch dollars.

planners.Mealplanners string

This model ranks shoppers who develop weekly meal plans and shopping list to match their meal plans.

planners.Preshopplanners string

This model ranks the likelihood shoppers are spending time research and planning trips prior to going to the store .

purchasers.Branddrivenhomecleaners string

This model ranks the most likely to purchase branded home cleaning products.

purchasers.Greenproductpurchasers string

Purchase or seek products that are non toxic, energy and water-efficient, and harmless to the environment.

purchasers.Impulsepurchasers string

This model ranks the Increased likelihood shoppers will purchase off list items during in-store shopping.

purchasers.Organicfoodpurchasers string

Seek food made from organic raw materials and organic certification.

purchasers.Organicproductpurchasers string

Seek products made from organic raw materials and organic certification.

spenders.Pandemicdecreasedspenders string

This model ranks consumers based upon their likelihood to have decreased spending during the pandemic

shoppers.Bargainhotelshoppers string

This model which ranks consumers based upon their likelihood to belong to shop for hotels based upon price concessions.

shoppers.Bargainshoppers string

This model ranks consumers based upon their likelihood to shop on sale or use coupons.

shoppers.Everydaylowpriceshoppers string

Greater likelihood to shop at or favor everyday low price format (example: Walmart).

shoppers.Financialinstitutionshoppers string

This model ranks consumers based upon their likelihood to switch financial institutions in less than one year

shoppers.Highendshoppers string

This model ranks consumers based upon their likelihood to shop in high-end stores (specialty or department) such as Coach or Nord storms.

shoppers.Multiretailershoppers string

Increased likelihood of going to multiple retailers to execute their shopping list and fulfil shopping trip needs.

shoppers.Onestopshoppers string

Primarily shop at one retailer for each shopping trip.

shoppers.Pricematchers string

Shoppers that tend to match prices across retailers to where to shop and what to buy.

shoppers.Privatelabelshopper string

Shoppers that have a greater likelihood to purchase private label brands.

shoppers.Quickshopatwalmartortarge string

Shoppers that complete quick stop in trips at Walmart or Target.

shoppers.Stockupshoppers string

Increase likelihood to complete larger shopping trips to fill-up on items and stock their pantries.

shoppers.Whatsonsaleshoppers string

Greater likelihood shoppers plan what to buy based on what is on sale and will not purchase products un lesson-sale.

stores.Stockupatgrocerystores string

This model ranks shopper that complete larger dollar sales trips at traditional grocery stores.

stores.Stockupatwalmart string

This model ranks shopper that complete larger dollar sales trips at Walmart stores.

users.Brandmotivatedlaundryusers string

Laundry product purchase driven by brand and brand loyalty.

users.Brandmotivatedpersonalcareproductusers string

Personal care product purchase driven by brand and brand loyalty.

users.Conveniencedrivenpersonalcareproductusers string

This model ranks consumers who are likely to purchase personal care products based on ease of use.

users.Grocerystoreappusers string

This model ranks consumers based upon their likelihood to use grocery store apps when they shop.

users.Heavycouponusers string

Increased likelihood to be active coupon clippers and redeemers.

users.Mobileshoppinglistusers string

This model ranks consumers who are likely to make a shopping list on their mobile phone.

users.Naturalproductpersonalcareproductusers string

This model ranks consumers who are l interested in products that have ingredients that are derived from renewable resources like plants and minerals.

users.Papershoppinglistusers string

This model ranks Shoppers who make and use paper list.

users.Premiumnaturalpersonalcareproductusers string

This model ranks consumers who are Willing to pay price premium for natural personal care products.

users.Pricemotivatedlaundryproductusers string

This model ranks consumers who are price sensitive and low cost laundry product users.

users.Pricemotivatedpersonalcareproductusers string

This model ranks consumers who are price sensitive and low cost personal care product purchasers.

users.Targetcartwheelusers string

This model ranks shoppers , report using the Target Cartwheel App.

users.Uberlyftusers string

This model ranks consumers based on their likelihood to use a private ride-sharing service.

users.Walmartsavingcatcherusers string

This model ranks Shoppers, report using the Walmart SavingsCatcher App.

Education

The Education Insights Bundle provides valuable information related to the education /career advancement of your customers and prospects. This is useful to create segments based on the age group/career and the keys in the details object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2",
      "lifeCycles" : {
        "babyBoomers" : "Y",
        "familyTies" : "Y"
      }
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H",
      "child" : {
        "age0to2" : "Female ",
        "age11to15" : "Male ",
        "age16to17" : "Female ",
        "age3to5" : "Male ",
        "age6to10" : "Female "
      }
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    },
    "childrenInfo" : {
      "gender" : {
        "firstChild" : "Female",
        "secondChild" : "Male",
        "thirdChild" : "Female",
        "fourthChild" : "Female"
      },
      "birthDate" : {
        "firstChild" : "201304",
        "secondChild" : "201504",
        "thirdChild" : "201604",
        "fourthChild" : "201704"
      }
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "surveys" : {
    "hobby" : {
      "careerAdvancementCourses" : "Y"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "seekers" : {
      "onlineDegreeEducation" : "Likely"
    },
    "customers" : {
      "studentLoan" : "Likely"
    },
    "owners" : {
      "educationSavingsPlan" : "Unlikely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

familyInfo.lifeCycles.Babyboomers string

This lifecycle segment contains names and addresses of all individuals born between 1946 and 1964.

familyInfo.lifeCycles.Familyties string

This lifecycle segment is defined as husband and wife households with children present.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.child.Age0To2 string

This indicates the presence (and gender) of a child in the household between or equal to the ages of 0 and 2.

presence.Presenceofchildrenindicator string

This indicates the presence (and gender) of a child in the household between or equal to the ages of 3 and 5.

presence.child.Age3To5 string

presence of children indicator.

presence.child.Age6To10 string

This indicates the presence (and gender) of a child in the household between or equal to the ages of 6 and 10.

presence.child.Age11To15 string

This indicates the presence (and gender) of a child in the household between or equal to the ages of 11 and 15.

presence.child.Age16To17 string

This indicates the presence (and gender) of a child in the household between or equal to the ages of 16 and 17.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.household.childreninfo

gender.Firstchild string

Gender of the 1st child in the household.

gender.Secondchild string

Gender of a second child in the household.

gender.Thirdchild string

Gender of a third child in the household.

gender.Fourthchild string

Gender of a fourth child in the household

birthdate.Firstchild string

Birthdate of 1st child in the household.

birthdate.Secondchild string

Birthdate of 2nd child in the household.

birthdate.Thirdchild string

Birthdate of 3rd child in the household.

birthdate.Fourthchild string

Birthdate of 4th child in the household.

Properties: details.demographics

age.Agein2Yearranges string

Freeform adult age 18 years and older (minimum 2-year increment.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator.

enthusiasts.niches string

A specialised segment of the consumers.

martialinfo.Maritalstatus string

Marital status of individual.

martialinfo.Maritalstatusindicator string

individual marital status indicator.

Properties: details.surveys

hobby.Careeradvancementcourses string

This model indicate the Interest present in Household for career advancement courses as a hobby.

Additional Properties

emails object string

Object representing additional known email addresses.

phones object string

Object representing additional known phone numbers.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile from the social platform.

profiles.{platform}.service string

Name of the social platform.

locations[n].city string

The "city" portion of the location address .

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

employment.name string

The name of the organization/place of employment.

employment.current string

Indicator of whether or not this is the current place of employment.

employment.title string

Job or position title.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

education[n].name string

The name of the school/university attended.

education[n].degree string

The degree or focus of study.

education[n].end.year object string

Object representing the last year, month and day attended.

urls[n].value string

The URL of the website.

Properties: details.marketTrends

seekers.Onlinedegreeeducation string

This model ranks consumers based on their likelihood to be online degree/online education seekers..

customers.Studentloancustomers string

This model ranks consumers based upon their likelihood to have a student loan..

owners.Educationsavingsplanowners string

This model ranks consumers based upon their likelihood to have an ESP..

Energy and Utilities

The Energy & Utilities Insights Bundle comprising the basic amenities, such as security systems,solar roofing,vehicle service centers,home remodellers' and many more. This helps to create an unified ecosystem for your customers and prospects and the keys in the details` object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "homeHeatSource" : "Steam",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "enthusiasts" : {
      "breakfastDining" : "Unlikely"
    },
    "customers" : {
      "plantoPurchaseSmartHomeProducts" : "Likely"
    },
    "consumers" : {
      "doitYourselfer" : "Unlikely",
      "homeRemodelers" : "Unlikely",
      "intheMarkettoPurchaseaHome" : "Likely",
      "plantoPurchaseHomeSecuritySystems" : "Unlikely",
      "vehicleDIYrs" : "Likely"
    },
    "purchasers" : {
      "homeWarranty" : "Likely"
    },
    "users" : {
      "publicTransportation" : "Highly Likely",
      "solarRoofingInterest" : "Unlikely",
      "vehicleServiceCenter" : "Likely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

Properties: details. household. finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Properties: details.surveys

hobby.Careeradvancementcourses string

This model indicate the Interest present in Household for career advancement courses as a hobby.

Additional Properties

emails object string

Object representing additional known email addresses.

phones object string

Object representing additional known phone numbers.

profiles.{platform}.url string

URL to the profile on the social platform.

profiles.{platform}.bio string

Bio of the profile from the social platform.

profiles.{platform}.service string

Name of the social platform.

locations[n].city string

The "city" portion of the location address .

locations[n].region string

The region portion of the location address, typically a state or province.

locations[n].regionCode string

An abbreviated or code-based representation of the region.

locations[n].country string

The country portion of the location address.

locations[n].formatted string

The formatted address.

employment.name string

The name of the organization/place of employment.

employment.current string

Indicator of whether or not this is the current place of employment.

employment.title string

Job or position title.

photos[n].label string

The type of photo.

photos[n].value string

The URL to the photo.

education[n].name string

The name of the school/university attended.

education[n].degree string

The degree or focus of study.

education[n].end.year object string

Object representing the last year, month and day attended.

urls[n].value string

The URL of the website.

Properties: details.marketTrends

enthusiasts.Breakfastdining string

This model ranks consumers based upon their likelihood dine out frequently for breakfast.

customers.Plantopurchasesmarthomeproductscustomers string

This model ranks consumers based upon their likelihood to be plan to purchase smart home products.

consumers.Doityourselfer string

This model consumers based upon their likelihood to complete their own moderate to large home improvements.

consumers.Homeremodelers string

This model ranks consumers based upon their likelihood to do home re modeling projects.

consumers.Doityourselfer string

This model consumers based upon their likelihood to complete their own moderate to large home improvements.

consumers.Inthemarkettopurchaseahome string

This model ranks consumers based upon their likelihood to purchase a condo/apartment/house in next 12 months.

consumers.Plantopurchasehomesecuritysystems string

This model ranks consumers based upon the likelihood to purchase a security system in the next 12 months.

consumers.Vehiclediyrs string

This model ranks consumers based upon their likelihood to always do their own vehicle maintenance/repairs.

purchasers.Homewarrantypurchasers string

This model ranks consumers based upon their likelihood to purchase a home warranty in the next 12 months.

users.Publictransportationusers string

This model ranks consumers based on their likelihood to regularly use public transportation (eg: trains, bus).

users.Solarroofinginterest string

This model ranks consumers based upon their likelihood to be interested in solar roofing.

users.Vehicleservicecenterusers string

This model ranks consumers based upon their likelihood to always service their vehicle at service centers (Midas, Sears) versus going to a local auto mechanic.

Financial Services and Insurance

The Financial Services & Insurance Bundle provides very valuable information related to the debt/equity/investments and networth of your customers and prospects. This helps in creating user persona and personalised campaigns  and the keys in the details object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "affluents" : "Silver",
      "currentLoanToValue" : "48",
      "familyComposition" : "9",
      "homeMarketValue" : "3154S",
      "ownerToOwner" : "Likely",
      "rentertoOwner" : "Likely",
      "yearHomeBuilt" : "1968"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H",
      "child" : {
        "age0to2" : "Female ",
        "age11to15" : "Male ",
        "age16to17" : "Female ",
        "age3to5" : "Male "
      }
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "narrowBandIncome" : "$20,000 - $24,999",
      "discretionarySpendingIncome" : "$65,000 - $74,999",
      "firstMortgageAmountInThousands" : "5147",
      "homeEquityLoanDate" : "200811",
      "homeMarketValueTaxRecord" : "453",
      "homeEquityLoanInThousands" : "829",
      "homeEquityLoanIndicator" : "1",
      "investmentResources" : "$250,000 - $499,999",
      "liquidResources" : "$500 - $2,499",
      "mortgageInterestRateTypeOrRefinance" : "Fixed Rate Loan",
      "mortgageLiability" : "425",
      "mortgageLoanTypeOrRefinance" : "New Construction",
      "mortgageDate" : "201204",
      "refinanceIndicator" : "1",
      "secondMortgageAmountInThousands" : "150",
      "shortTermLiability" : "$50,000 or more",
      "incomeIndex" : "35",
      "netWorth" : "$150,000 - $249,999",
      "wealthResources" : "$250,000 - $499,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "consumers" : {
      "valueScore" : "Above Average Profit Margin"
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "surveys" : {
    "investments" : {
      "juvenileLifeInsurance" : "Y",
      "burialInsurance" : "Y",
      "insurance" : "Y",
      "investments" : "Y",
      "lifeInsurance" : "Y",
      "medicareCoverage" : "Y",
      "mutualFunds" : "Y",
      "stocksOrBonds" : "Y"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "switchers" : {
      "insurance" : "Likely",
      "job" : "Likely"
    },
    "buyers" : {
      "autoInsuranceSelfServeOnline" : "Highly Likely",
      "onlineInsurance" : "Highly Likely"
    },
    "customers" : {
      "annuity" : "Highly Likely",
      "autoInsurancePremiumDiscountviaTelematicsCustomer" : "Likely",
      "certificatesofDeposit" : "Highly Likely",
      "communityBankCustomer" : "Highly Likely",
      "convenience" : "Unlikely",
      "deposit" : "Unlikely",
      "financialAdvisor" : "Unlikely",
      "frequentATM" : "Unlikely",
      "interestCheckingPreference" : "Highly Likely",
      "lending" : "Highly Likely",
      "loyalFinancialInstitution" : "Unlikely",
      "nationalBankCustomer" : "Likely",
      "regionalBankCustomer" : "Likely",
      "selfInsuredDental" : "Unlikely",
      "studentLoan" : "Likely",
      "qsrcash" : "Unlikely"
    },
    "consumers" : {
      "autoInsurance" : "Highly Likely",
      "autoInsuranceAgentSold" : "Likely",
      "autoInsuranceCallCenterSold" : "Likely",
      "conservativeInvestmentStyle" : "Highly Likely",
      "contactlessPayApplication" : "Likely",
      "creditCardAttritionHouseholds" : "Highly Likely",
      "creditCardRevolvers" : "Unlikely",
      "creditUnionMember" : "Likely",
      "employerProvidedHealthInsurancePolicyHolders" : "Unlikely",
      "futureInvestors" : "Likely",
      "gigEconomyEmployees" : "Highly Likely",
      "homeRemodelers" : "Unlikely",
      "intheMarkettoGetaHomeLoan" : "Unlikely",
      "intheMarkettoPurchaseaHome" : "Likely",
      "investmentTrustBankingPreference" : "Likely",
      "likelyMortgageRefinancers" : "Unlikely",
      "likelytoUseanInvestmentBroker" : "Likely",
      "likelytohaveaMortgage" : "Highly Likely",
      "longTermCare" : "Unlikely",
      "lowInterestCreditCard" : "Unlikely",
      "medicaidPotentialQualifiedHousehold" : "Unlikely",
      "medicareDualEligibleHousehold" : "Unlikely",
      "medicarePlanDPrescriptionDrugHealth" : "Likely",
      "non401kMutualFundInvestors" : "Highly Likely",
      "non401kStocksBondsInvestors" : "Likely",
      "paychecktoPaycheck" : "Likely",
      "rentersandAutoInsuranceJointPolicyHolders" : "Likely",
      "retiredbutStillWorking" : "Likely",
      "selfPayHealthInsurance" : "Likely",
      "seniorCaregivers" : "Likely",
      "seniorLivingSearchers" : "Unlikely",
      "termLife" : "Likely",
      "underbanked" : "Likely",
      "uninsuredforHealth" : "Unlikely",
      "upcomingRetirees65andOlder" : "Unlikely",
      "weeklyOnlineBankers" : "Unlikely",
      "wholeLife" : "Highly Likely",
      "workforSmallCompanyOfferingHealthInsurance" : "Highly Likely"
    },
    "owners" : {
      "_401k" : "Unlikely",
      "educationSavingsPlan" : "Unlikely",
      "multiPolicyInsurance" : "Highly Likely",
      "prepaidCard" : "Unlikely",
      "secondHome" : "Likely",
      "timeshare" : "Highly Likely"
    },
    "subscribers" : {
      "financialHealthNewsletter" : "Unlikely"
    },
    "purchasers" : {
      "impulse" : "Unlikely",
      "medicareAdvantagePlan" : "Likely",
      "midmarketTermLifeInsurance" : "Likely",
      "midmarketWholeLifeInsurance" : "Unlikely",
      "petInsurance" : "Likely",
      "acahealthInsurance" : "Highly Likely"
    },
    "shoppers" : {
      "financialInstitution" : "Highly Likely"
    },
    "users" : {
      "brandedRetailCreditCard" : "Highly Likely",
      "creditCardBalanceTransfer" : "Likely",
      "debitCardRewards" : "Highly Likely",
      "debitCard" : "Highly Likely",
      "mobileBanking" : "Unlikely",
      "onlineBroker" : "Likely",
      "onlineSavings" : "Likely",
      "rewardsCardCashBack" : "Unlikely",
      "rewardsCardOther" : "Likely"
    }
  }
}
Properties

details.name.given string

The given name (first name) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Affluents string

This indicates the segments of the most affluent households based upon key financial characteristics and census characteristics.

homeInfo.Currentloantovalue string

Current loan to value (implied decimal 00.00 to 99.99).

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

homeInfo.Homemarketvalue string

This estimates the home market value for property expressed in thousands.

homeInfo.Ownertoowner string

This model predicts a household's likelihood to move in the next 3-5 months.

homeInfo.Rentertoowner string

This model for current renters. This model predicts a household's likelihood to move in the next 3-5 months.

homeInfo.Yearhomebuilt string

This indicates construction year of the home.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

presence.child.Age0To2 string

Indicates the presence (and gender) of a child in the household between or equal to the ages of 0 and 2

presence.child.Age3To5 string

Indicates the presence (and gender) of a child in the household between or equal to the ages of 3 and 5.

presence.child.Age11To15 string

Indicates the presence (and gender) of a child in the household between or equal to the ages of 11 and 15

presence.child.Age16To17 string

Indicates the presence (and gender) of a child in the household between or equal to the ages of 16 and 17.

Properties: details.finance

Income string

This model defines the self-reported incomes, property values and other proprietary sources

Incomeindicator string

This Indicator reflects if data is sourced via self-reported income or inferred.

Narrowbandincome string

This model defines the self-reported incomes, property values and other proprietary sources

Discretionaryspendingincome string

This model estimates the household income after taxes, shelter, food, clothes, transportation, utilities, and healthcare.

Firstmortgageamountinthousands string

This model indicates the First mortgage amount in thousands

Homeequityloandate string

Date of home equity loan

Homemarketvaluetaxrecord string

This model indicates the Home market value (actual value) provided via county/local tax and deed information.

Homeequityloaninthousands string

This model indicates the Actual amount of home equity loan

Homeequityloanindicator string

This model indicates the Flag that home equity loan is associated with that property

Investmentresources string

This model estimate the financial and other investments

Liquidresources string

This model estimates the current cash savings

Mortgageinterestratetypeorrefinance string

Interest rate type of mortgage (or refinance)

Mortgageliability string

Primary property mortgage

Mortgageloantypeorrefinance string

Loan type of mortgage (or refinance)

Mortgagedate string

Date of mortgage (or refinance)

Refinanceindicator string

Flag indicating a refinance is associated with that property

Secondmortgageamountinthousands string

2nd mortgage amount (actual value): original transaction

shorttermliability string

This model estimates the credit cards, other loan, auto loan, student loan.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides.

Networth string

This model indicates the Value equals household's asset minus liabilities.

Wealthresources string

This model estimates the value of savings and investments

Properties: details.demographics

age.value string

The age in years of the individual.

consumers.Valuescore string

This model estimates the consumer marketing profitability margin.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Properties: details.surveys

investments.Juvenilelifeinsurance string

This model indicates the customers who has interest present in Household for Juvenile life insurance

investments.Burialinsurance string

This model indicates the customers who has interest present in Household for burial insurance

investments.Insurance string

This model indicates the customers who has interest present in Household for insurance

investments.Investments string

This model indicates the customers who has interest present in Household for investments

investments.Lifeinsurance string

This model indicates the customers who has interest present in Household for life insurance

investments.Medicarecoverage string

This model indicates the customers who has interest present in Household for medicare coverage

investments.Mutualfunds string

This model indicates the customers who has interest present in Household for mutual funds

investments.Stocksorbonds string

This model indicates the customers who has interest present in Household for stocks or bonds

Additional Properties
Properties: details.marketTrends

switchers.Insuranceswitcher string

This model ranks consumers based upon their likelihood to switch insurance providers.

switchers.Job string

This model ranks consumers based upon their likelihood to switch jobs.

customers.Annuitycustomersinvestments.Insurance string

This model ranks consumers based upon their likelihood to buy annuities.

customers.Autoinsurancepremiumdiscountviatelematicscustomer string

This model ranks consumers based upon their likelihood to purchase telematics for their vehicle to get auto insurance discounts.

customers.Certificatesofdepositcustomers string

This model ranks consumers based upon their likelihood to have CDs.

customers.Communitybankcustomer string

This model ranks consumers based upon their likelihood to bank at a community bank.

customers.Conveniencecustomers string

This model ranks consumers based upon their likelihood to choose their FI because of convenience reasons such as hours/location .

customers.Depositcustomers string

This model ranks consumers based upon their likelihood to choose their FI for deposit options.

customers.Financialadvisorcustomers string

This model ranks consumers based upon their likelihood to use services of a Financial Advisor.

customers.Frequentatmcustomers string

This model ranks consumers based upon theirlikelihood to use Debit/ATM Cards 16+ times per month.

customers.Interestcheckingpreferencecustomers string

This model ranks consumers based upon their likelihood to choose an FI because of Interest Checking.

customers.Lendingcustomers string

This model ranks consumers based upon their likelihood to choose FI for lending options (loan rates).

customers.Loyalfinancialinstitutioncustomers string

This model ranks consumers based upon their likelihood to be loyal to their FI (more than 5 year).

customers.Nationalbankcustomer01 string

This model ranks consumers based upon their likelihood to bank at a national bank.

customers.Regionalbankcustomer string

This model ranks consumers based upon their likelihood to bank at a regional bank.

customers.Selfinsureddentalcustomers string

This model ranks consumers based upon their likelihood to have purchased this insurance.

customers.Studentloancustomers string

This model ranks consumers based upon their likelihood to have a student loan.

customers.Qsrcashcustomers string

This model ranks consumers based upon their likelihood to pay cash at QSRs.

consumers.Autoinsurance string

This model estimate the consumers who has auto insurance

consumers.Autoinsuranceagentsold string

This model ranks consumers based upon their likelihood to have purchased auto insurance through an agent.

consumers.Autoinsurancecallcentersold string

This model ranks consumers based upon their likelihood to have purchased auto insurance through a call center.

consumers.Conservativeinvestmentstyleconsumers string

This model ranks consumers based upon their likelihood to invest conservatively.

consumers.Contactlesspayapplicationconsumers string

This model ranks consumers based upon their likelihood touse contactless payment methods.

consumers.Creditcardattritionhouseholds string

This model ranks consumers based upon their likelihood to pay off credit cards or carry zero balance on cards.

consumers.Creditcardrevolvers string

This model ranks consumers based upon their likelihood to revolve credit balances.

consumers.Creditunionmember string

This model ranks consumers based upon their likelihood to belong to a credit union.

consumers.Employerprovidedhealthinsurancepolicyholders string

This model ranks consumers based upon their likelihood to use health insurance benefits from their employers.

consumers.Futureinvestors string

This model ranks consumers based on their likelihood to be future investors (individuals planning to invest for the first time).

consumers.Gigeconomyemployees string

This model ranks consumers based upon their likelihood to be gig employed.

consumers.Homeremodelers string

This model ranks consumers based upon their likelihood to do home remodeling projects.

consumers.Inthemarkettogetahomeloan string

This model ranks consumers based upon their likelihood to purchase a home in next 12 months.

consumers.Inthemarkettopurchaseahome string

This model ranks consumers based upon their likelihood to purchase a condo/apartment/house in next 12 months.

consumers.Investmenttrustbankingpreference string

This model ranks consumers based upon their likelihood to choose a financial institution because of investment/trust options.

consumers.Likelymortgagerefinancers string

This model ranks consumers based upon their likelihood to refinance their mortgage.

consumers.Likelytouseaninvestmentbroker string

This model ranks consumers based upon their likelihood to use this type of broker.

consumers.Likelytohaveamortgage string

This model ranks consumers based upon their likelihood to have a mortgage.

consumers.Longtermcare string

This model ranks consumers based upon their likelihood to buy long term care insurance.

consumers.Lowinterestcreditcarduser string

This model ranks consumers based upon their likelihood to use this type of credit card.

consumers.Medicaidpotentialqualifiedhousehold string

This model ranks consumers based upon their likelihood to have purchased health insurance via the ACA.

consumers.Medicaredualeligiblehousehold string

This model ranks consumers based upon their likelihood to be eligible for both Medicare and Medicaid.

consumers.Medicareplandprescriptiondrughealthpurchaser string

This model ranks consumers based upon their likelihood to plan to get Plan D prescription drug coverage.

consumers.Non401Kmutualfundinvestors string

This model ranks consumers based upon their likelihood to invest in non-401k mutual funds.

consumers.Non401Kstocksbondsinvestors string

This model ranks consumers based upon their likelihood to invest in non-401k stocks/bonds.

consumers.Paychecktopaycheckconsumers string

This model ranks consumers based upon their likelihood to live pay check to pay check.

consumers.Rentersandautoinsurancejointpolicyholders string

This model ranks consumers based upon their likelihood to have renter and auto insurance with same carrier.

consumers.Retailtexters string

This model ranks consumers based upon their likelihood to open text messages from retailers.

consumers.Retiredbutstillworking string

This model ranks consumers based upon the likelihood to still be employed post-retirement.

consumers.Selfpayhealthinsurance string

This model ranks consumers based upon their likelihood to purchase insurance on their own.

consumers.Seniorcaregivers string

This model ranks consumers based on their likelihood to be or plan to be a senior caregiver or purchase/plan for senior caregiving services.

consumers.Seniorlivingsearchers string

This model ranks consumers based upon their likelihood to be looking for senior living arrangements for themselves or parents.

consumers.Termlife string

This model ranks consumers based upon their likelihood to buy Term Life insurance.

consumers.Underbankedconsumers string

This model ranks consumers based on their likelihood to be underbanked and have very limited or zero credit.

consumers.Uninsuredforhealth string

This model ranks consumers based upon their likelihood to need add'l insurance.

consumers.Upcomingretirees65Andolder string

This model ranks consumers based upon their likelihood to retire at age 65 and older in the next 12 months.

consumers.Weeklyonlinebankers string

This model ranks consumers based upon their likelihood to bank online at least weekly.

consumers.Wholelife string

This model ranks consumers based upon their likelihood to buy WholeLife insurance.

consumers.Workforsmallcompanyofferinghealthinsurance string

This model ranks consumers based upon their likelihood to be self employed or work for a small co that offers insurance.

owners.401Kowners string

This model ranks consumers based upon their likelihood to have a 401k.

owners.Boatowners string

This model ranks consumers based upon their likelihood to own a boat.

owners.Educationsavingsplanowners string

This model ranks consumers based upon their likelihood to have an ESP.

owners.Multipolicyinsuranceowners string

This model ranks consumers based upon their likelihood to have home and auto policies with same company.

owners.Prepaidcardowners string

This model ranks consumers based upon their likelihood to be aware of and currently use prepaid cards.

owners.Secondhomeowners string

This model ranks consumers based upon their likelihood to have more than on residence.

owners.Timeshareowners string

This model ranks consumers based upon their likelihood to belong to own time shares.

subscribers.Financialhealthnewslettersubscribers string

This model ranks consumers based upon their likelihood to subscribe to newsletters.

purchasers.Impulsepurchasers string

Increased likelihood shoppers will purchase off list items during in-store shopping.

purchasers.Medicareadvantageplanpurchasers string

This model ranks consumers based upon their likelihood to purchase Medicare Advantage Plan.

purchasers.Midmarkettermlifeinsurancepurchasers string

This model ranks consumers based upon their likelihood to purchase Mid market Term Life Insurance.

purchasers.Midmarketwholelifeinsurancepurchasers string

This model ranks consumers based upon their likelihood to purchase whole life insurance.

purchasers.Newnonluxuryvehiclepurchasers string

This model ranks consumers based upon their likelihood to have purchased a new non-luxury vehicle.

purchasers.Organicproductpurchasers string

Seek products made from organic raw materials and organic certification.

purchasers.Petinsurancepurchasers string

This model ranks consumers based upon their likelihood to purchase pet insurance.

purchasers.Acahealthinsurancepurchasers string

This model ranks consumers based upon their likelihood to have purchased health insurance via the ACA.

shoppers.Financialinstitutionshoppers string

This model ranks consumers based upon their likelihood to switch financial institutions in less than one year

users.Brandedretailcreditcardusers string

This model ranks consumers based upon their likelihood to open cards specific to individual retailers or open cards to accrue points for use at retailer.

users.Creditcardbalancetransferusers string

This model ranks consumers based upon their likelihood to use a credit card to pay balances due on another credit card.

users.Debitcardrewardsusers string

This model ranks consumers based upon their likelihood to choose checking account if it earned Debit CardRewards.

users.Debitcarduser string

This model ranks consumers based upon their likelihood to use a debit card.

users.Mobilebankingusers string

This model ranks consumers based upon their likelihood to use GoogleWallet/Apple Pay or Venmo/Abra mobile payment services.

users.Onlinebrokeruser string

This model ranks consumers based upon their likelihood to use an online broker.

users.Rewardscardcashbackuser string

This model ranks consumers based upon their likelihood to use this type of credit card.

users.Rewardscardotheruser string

This model ranks consumers based upon their likelihood to use this type of credit card.

Media and Entertainment

The Media & Entertainment Insights Bundle provides the most core information of an individual related to the kind of books they read,sports they are interested in, and their household information. This is useful to create customer segmentation and the keys in the details object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "surveys" : {
    "hobby" : {
      "culturalArtsOrEvents" : "Y"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "enthusiasts" : {
      "artHouseMovie" : "Highly Likely",
      "baseball" : "Unlikely",
      "basketball" : "Likely",
      "christianorGospelMusic" : "Unlikely",
      "cigarPipe" : "Likely",
      "countryMusic" : "Unlikely",
      "discountMovie" : "Highly Likely",
      "extremeFitness" : "Likely",
      "fantasySports" : "Likely",
      "football" : "Unlikely",
      "freeStreaming" : "Likely",
      "frequentMovie" : "Highly Likely",
      "gamingnonMobileDevices" : "Likely",
      "hockey" : "Likely",
      "homeShoppingNetwork" : "Likely",
      "latinMusic" : "Unlikely",
      "mobileGaming" : "Highly Likely",
      "openingWeekendMovie" : "Likely",
      "paidStreaming" : "Unlikely",
      "soccer" : "Likely",
      "yogaPilates" : "Highly Likely"
    },
    "attendees" : {
      "amusementPark" : "Unlikely",
      "culturalArtsEvents" : "Unlikely",
      "liveMusicConcert" : "Highly Likely",
      "professionalSportsEvents" : "Likely"
    },
    "customers" : {
      "directMediaPreference" : "Likely",
      "internetResearchPreference" : "Unlikely",
      "plantoPurchaseSmartHomeProducts" : "Likely",
      "smartHome" : "Likely",
      "socialMediaPreference" : "Likely"
    },
    "consumers" : {
      "coinsCollector" : "Likely",
      "frequentOnlineMovieViewers" : "Likely",
      "gamers" : "Likely",
      "homeEntertainers" : "Highly Likely",
      "intheMarkettoPurchaseaHome" : "Likely",
      "intendtoPurchaseaSamsungmobiledevice" : "Likely",
      "intendtopurchase5GService" : "Unlikely",
      "mobileBrowsers" : "Likely",
      "movieLoyaltyProgramMembers" : "Likely",
      "plantoPurchaseHomeSecuritySystems" : "Unlikely",
      "plantogetFitnessMembership" : "Likely",
      "sociallyInfluenced" : "Unlikely"
    },
    "owners" : {
      "androidSmartPhone" : "Likely",
      "appleSmartPhone" : "Unlikely",
      "boat" : "Unlikely",
      "smartTV" : "Highly Likely",
      "tablet" : "Likely"
    },
    "readers" : {
      "avidBook" : "Unlikely",
      "bibleDevotional" : "Unlikely",
      "book" : "Highly Likely",
      "entertainment" : "Likely",
      "romance" : "Unlikely",
      "sports" : "Likely"
    },
    "subscribers" : {
      "cableTVPremium" : "Likely",
      "financialHealthNewsletter" : "Unlikely",
      "onlineMagazineNewspaper" : "Unlikely"
    },
    "purchasers" : {
      "frequentOnlineMusic" : "Highly Likely"
    },
    "users" : {
      "sociallyActiveonFacebook" : "Highly Likely",
      "sociallyActiveonFacebookBrandLikers" : "Unlikely",
      "sociallyActiveonFacebookCategoryRecommenders" : "Highly Likely",
      "sociallyActiveonPinterest" : "Unlikely",
      "sociallyActiveonTwitter" : "Unlikely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Properties: details.survey

hobby.Culturalartsorevents string

This indicate the interest present in Household for cultural/arts events as a hobby.

Additional Properties
Properties: details.marketTrends

enthusiasts.Arthousemovie string

This model ranks consumers based upon their likelihood to attend art house movie venues.

enthusiasts.Baseball string

This model ranks consumers based upon their likelihood to plan to watch baseball for entertainment.

enthusiasts.Basketball string

This model ranks consumers based upon their likelihood to plan to watch basketball for entertainment.

enthusiasts.Christianorgospelmusic string

This model ranks consumers based upon their likelihood to plan to listen to spiritual music for entertainment.

enthusiasts.Cigarpipe string

This model ranks consumers based on their likelihood to be cigar/pipe enthusiast.

enthusiasts.Countrymusic string

This model ranks consumers based upon their likelihood to plan to listen to country music for entertainment.

enthusiasts.Discountmovie string

This model ranks consumers based upon their likelihood to attend discount movies.

enthusiasts.Extremefitness string

This model ranks consumers based upon their likelihood to participate in P90X, Cross fit or other fitness programs.

enthusiasts.Fantasysports string

This model ranks consumers based upon their likelihood to participate in fantasy sports.

enthusiasts.Football string

This model ranks consumers based upon their likelihood to plan to watch football for entertainment.

enthusiasts.Freestreaming string

This model ranks consumers based upon their likelihood to use free streaming services.

enthusiasts.Frequentmovie string

This model ranks consumers based upon their likelihood to attend movies.

enthusiasts.Gamingnonmobiledevices string

This model ranks ranks consumers based upon their likelihood to be gaming enthusiasts on non-Mobile devices.

enthusiasts.Hockey string

This model ranks consumers based upon their likelihood to be interested in watching hockey for entertainment.

enthusiasts.Homeshoppingnetwork string

This model ranks consumers based upon their likelihood to frequently shop on the Home Shopping Network.

enthusiasts.Latinmusic string

This model ranks consumers based upon their likelihood to be prefer listening to Latin music relative to other types of music.

enthusiasts.Mobilegaming string

This model ranks consumers based upon their likelihood to be mobile game enthusiasts.

enthusiasts.Openingweekendmovie string

This model ranks consumers based upon their likelihood to go attend movies on opening weekend.

enthusiasts.Paidstreaming string

This model ranks consumers based upon their likelihood to pay for streaming services.

enthusiasts.Soccer string

This model ranks consumers based upon their likelihood to be interested in watching soccer on tv.

enthusiasts.Yogapilatesenthusiast string

This model ranks consumers based upon their likelihood to do yoga/pilates.

Attendees.Amusementpark string

This model ranks consumers based upon their likelihood attend amusement parks.

Attendees.Culturalartsevents string

This model ranks consumers based upon their likelihood to attend these events.

Attendees.Livemusicconcert string

This model ranks consumers based upon their likelihood to attend concerts.

Attendees.Professionalsportsevents string

This model ranks consumers based upon their likelihood to attend these events.

customers.Directmediapreferencecustomers string

This model ranks consumers based upon their likelihood to review media via postal mail.

customers.Internetresearchpreferencecustomers string

This model ranks consumers based upon their likelihood to review media via searches online.

customers.Plantopurchasesmarthomeproductscustomers string

This model ranks consumers based upon their likelihood to be plan to purchase smart home products.

customers.Smarthomecustomers string

This model ranks consumers based upon their likelihood to be smart home customers.

customers.Socialmediapreferencecustomers string

This model ranks consumers based upon their likelihood to review media via social networks.

consumers.Coinscollector string

This model ranks consumers based upon their likelihood to collect coins.

consumers.Frequentonlinemovieviewers string

This model ranks consumers based upon their likelihood to access movies online.

consumers.Gamers string

This model ranks consumers based upon their likelihood to participate in online gaming.

consumers.Homeentertainers string

This model ranks consumers based upon their likelihood to entertain at home.

consumers.Inthemarkettogetahomeloan string

This model ranks consumers based upon their likelihood to purchase a home in next 12 months.

consumers.Intendtopurchaseasamsungmobiledevice string

This model ranks consumers based upon their likelihood to purchase a Samsung Mobile Device.

consumers.Intendtopurchase5Gservice string

This model ranks consumers based upon their likelihood to purchase 5G service.

consumers.Mobilebrowsers string

This model ranks consumers based upon their likelihood to research products via their mobile phone.

consumers.Movieloyaltyprogrammembers string

This model ranks consumers based upon their likelihood to belong to movie loyalty programs.

consumers.Plantopurchasehomesecuritysystems string

This model ranks consumers based upon the likelihood to purchase a security system in the next 12months.

consumers.Plantogetfitnessmembership string

This model ranks consumers based upon their likelihood to plan to get a membership in the next 12 months.

consumers.Sociallyinfluencedconsumers string

This model ranks consumers based upon their likelihood to be influenced to purchase via social media activity.

owners.Androidsmartphoneowners string

This model ranks consumers based upon their likelihood to ownAndroid smart phones.

owners.Applesmartphoneowners string

This model ranks consumers based upon their likelihood to own Apple smart phones.

owners.Boatowners string

This model ranks consumers based upon their likelihood to own a boat.

owners.Smarttvowners string

This model ranks consumers based upon their likelihood to own a SmartTV.

owners.Tabletowners string

This model ranks consumers based upon their likelihood to own tablets such as the iPad.

readers.Avidbookreaders string

This model ranks consumers based upon their likelihood to read 3+ books/month.

readers.Bibledevotionalreaders string

This model ranks consumers based upon their likelihood to read BibleDevotional books/magazines.

readers.Bookreaders string

This model ranks consumers based upon their likelihood to read books.

readers.Entertainmentreaders string

This model ranks consumers based upon their likelihood to read entertainment.

readers.Romancereaders string

This model ranks consumers based upon their likelihood to read Romance books.

readers.Sportsreaders string

This model ranks consumers based upon their likelihood to read sports books/magazines.

subscribers.Cabletvpremiumsubscribers string

This model ranks consumers based upon their likelihood to have premium channel service (eg: NFL, HBO, Showtime).

subscribers.Financialhealthnewslettersubscribers string

This model ranks consumers based upon their likelihood to subscribe to newsletters.

subscribers.Onlinemagazinenewspapersubscribers string

This model ranks consumers based upon their likelihood to subscribe online.

purchasers.Frequentonlinemusicpurchasers string

This model ranks consumers based upon their likelihood to purchase music online.

users.Sociallyactiveonfacebook string

This model ranks consumers based upon their likelihood to useFacebook with 100+ contacts.

users.Sociallyactiveonfacebookbrandlikers string

This model ranks consumers based upon their likelihood to like numerous brands on Facebook.

users.Sociallyactiveonfacebookcategoryrecommenders string

This model ranks consumers based upon their likelihood to recommend numerous categories on Facebook.

users.Sociallyactiveonpinterest string

This model ranks consumers based upon their likelihood to use Pinterest daily.

users.Sociallyactiveontwitter string

This model ranks ranks consumers based upon their likelihood to use Twitter daily.

Quick Serve and Restaurant

The Restaurant/QSR Insights Bundle provides worthy information related to the choice of food/places information of your customers and prospects. This is useful to do targeted promotions/campaigns based on the segmentation and the keys in the details represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "seekers" : {
      "freshFood" : "Likely"
    },
    "enthusiasts" : {
      "barandLoungeFood" : "Highly Likely",
      "brandLoyalists" : "Likely",
      "breakfastDining" : "Unlikely",
      "carryOut" : "Unlikely",
      "casualDining" : "Likely",
      "coffee" : "Unlikely",
      "dinnerDining" : "Highly Likely",
      "fineDining" : "Likely",
      "lunchDining" : "Highly Likely",
      "quickServiceRestaurant" : "Likely"
    },
    "buyers" : {
      "heavyFiberFocusedFood" : "Unlikely",
      "heavyGlutenFreeFood" : "Highly Likely",
      "heavyLowFatFood" : "Unlikely"
    },
    "chef" : {
      "experimental" : "Highly Likely",
      "master" : "Highly Likely",
      "realIngredient" : "Likely"
    },
    "customers" : {
      "cateringDelivery" : "Unlikely",
      "cateringPickUp" : "Unlikely",
      "clicktoCartHomeDelivery" : "Highly Likely",
      "onlineDeliveryRestaurant" : "Likely",
      "onlinePickUpRestaurant" : "Likely",
      "restaurantLoyaltyCard" : "Highly Likely",
      "subscriptionorAutoShipmentFoodorBeverage" : "Highly Likely",
      "qsrcash" : "Unlikely"
    },
    "consumers" : {
      "contactlessPayApplication" : "Likely",
      "dietConsciousHouseholds" : "Likely",
      "freshFoodDelivery" : "Likely",
      "intheMarkettoPurchaseaHome" : "Likely",
      "lowSodium" : "Highly Likely",
      "mealCombo" : "Highly Likely",
      "mealKitDelivery" : "Highly Likely",
      "pandemicInRestaurantDiners" : "Likely",
      "vegetarians" : "Highly Likely",
      "wellnessHouseholdsHealth" : "Likely"
    },
    "readers" : {
      "retailerCircular" : "Highly Likely"
    },
    "subscribers" : {
      "retailerEmail" : "Unlikely"
    },
    "planners" : {
      "budgetMeal" : "Highly Likely",
      "meal" : "Highly Likely"
    },
    "purchasers" : {
      "greenProduct" : "Unlikely",
      "organicFood" : "Unlikely",
      "organicProduct" : "Likely"
    },
    "shoppers" : {
      "privateLabel" : "Likely"
    },
    "users" : {
      "heavyCoupon" : "Likely",
      "restaurantApp" : "Likely",
      "restaurantLoyaltyApp" : "Unlikely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Additional Properties
Properties: details.marketTrends

seekers.Freshfood string

Interested in and purchase fresh food (grocery perimeter items).

enthusiasts.Barandloungefood string

This model ranks consumers based upon their likelihood to go to bars, clubs or lounges 3X a week or more.

enthusiasts.Brandloyalists string

This model includes specific brand preferences (Chobani vs. yogurt) and focus on brand svs. price.

enthusiasts.Breakfastdining string

This model ranks consumers based upon their likelihood dine out frequently for breakfast.

enthusiasts.Carryout string

This model ranks consumers based upon their likelihood to go to carryout restaurants 3X a week or more.

enthusiasts.Casualdining string

This model ranks consumers based upon their likelihood to go to casual dining restaurants 3x a week or more.

enthusiasts.Coffee string

This model ranks consumers based upon their likelihood to go to coffee houses/cafes and get coffee to go at least 3x a month.

enthusiasts.Dinnerdining string

This model ranks consumers based upon their likelihood to dine out frequently for dinner.

enthusiasts.Finedining string

This model ranks consumers based upon their likelihood to go to fine dining restaurants 3X a week or more.

enthusiasts.Lunchdining string

This model ranks consumers based upon their likelihood dine out frequently for lunch.

enthusiasts.Quickservicerestaurant string

This model ranks consumers based upon their likelihood togo to quick service restaurants 3X a week or more.

buyers.Heavyfiberfocusedfoodbuyers string

Greater likelihood to purchase product high in fiber.

buyers.Heavyglutenfreefoodbuyers string

Greater likelihood to product without gluten.

buyers.Heavylowfatfoodbuyers string

Greater likelihood to purchase low fat foods.

chef.Experimentalcooks string

Cooks that like to explore new recipes and meal ideas.

chef.Mastercook string

Skilled cooks that enjoy the experience of cooking.

chef.Realingredientcook string

Cook ingredients that take additional preparation work(buy lettuce vs. bagged salad).

customers.Cateringdeliverycustomers string

Ordered catered food online and had it delivered in the last 12 months

customers.Cateringpickupcustomers01 string

Ordered catered food online and had it pickup in the last 12 months

customers.Clicktocarthomedeliverycustomers string

Shopped for groceries online and had them delivered to their home in the last 12 months.

customers.Clicktocarthomedeliverycustomers string

Shopped for groceries online and had them delivered to their home in the last 12 months.

customers.Onlinedeliveryrestaurantcustomers string

Ordered food online from a restaurant 4+ times and had it delivered in the past 12 months

customers.Onlinepickuprestaurantcustomers string

Ordered food online from a restaurant 4+ times and picked it up in the past 12 months.

customers.Qsrcashcustomers string

This model ranks consumers based upon their likelihood to pay cash at QSRs.

customers.Restaurantloyaltycardcustomers string

This model uses 3+ restaurant loyalty cards regularly

customers.Subscrorautoshipmentfoodorbeveragecustomers string

This model ranks consumers based upon their likelihood to be subscribers.

consumers.Contactlesspayapplicationconsumers string

This model ranks consumers based upon their likelihood to use contactless payment methods.

consumers.Dietconscioushouseholds string

This model ranks consumers based upon their likelihood to diet for health, eat low sugar, low fat or low calorie food diets and have an interest in weight loss.

consumers.Freshfooddeliveryconsumers string

This model ranks consumers based upon their likelihood to have fresh food delivered.

consumers.Inthemarkettogetahomeloan string

This model ranks consumers based upon their likelihood to purchase a home in next 12 months.

consumers.Lowsodiumconsumers string

This model ranks consumers based upon their likelihood to have low sodium diets.

consumers.Mealcomboconsumers string

This model ranks consumers based upon their likelihood to purchase meal combos at restaurants.

consumers.Mealkitdeliveryconsumers string

This model ranks consumers based upon their likelihood to have meal kits delivered.

consumers.Pandemicinrestaurantdiners string

This model ranks consumers based upon their likelihood to dine in restaurants during the pandemic.

consumers.Vegetarians string

This model ranks consumers based upon their likelihood to be vegetarians.

consumers.Wellnesshouseholdshealth string

This model ranks consumers based upon their likelihood to exercise on a regular basis, go to a doctor regularly, eat organic/healthy food diets and have an interest in natural foods.

readers.Retailercircularreaders string

This model indicates shoppers who have an increased likelihood to research trips by reviewing newspaper or digital circulars.

subscribers.Retaileremailsubscribers string

This model estimates greater likelihood to subscribe to retailer emails.

planners.Budgetmealplanners string

This model estimate the plan meals in advance to manage budgets and stretch dollars.

planners.Mealplanners string

This model indicates shoppers who develop weekly meal plans and shopping list to match their meal plans.

purchasers.Greenproductpurchasers string

Purchase or seek products that are non toxic, energy and water-efficient, and harmless to the environment.

purchasers.Organicfoodpurchasers string

This model represents customers who seek food made from organic raw materials and organic certification.

purchasers.Organicproductpurchasers string

This model represents customers who seek products made from organic raw materials and organic certification.

shoppers.Privatelabelshopper string

This model indicates shoppers that have a greater likelihood to purchase private label brands.

users.Heavycouponusers string

Increased likelihood to be active coupon clippers and redeemers.

users.Restaurantappusers string

This model represents the customers using regularly use 2+ apps for restaurants

users.Restaurantloyaltyappusers string

This model use restaurant apps that have a connection to a loyalty or rewards program

Retail

The Retail Insights Bundle provides most core information related to the retail market trends of your  customers and prospects and their spending patterns and the keys in the details object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "seekers" : {
      "freshFood" : "Likely"
    },
    "enthusiasts" : {
      "brandLoyalists" : "Likely",
      "cigarPipe" : "Likely",
      "coffee" : "Unlikely",
      "dinnerDining" : "Highly Likely",
      "homeShoppingNetwork" : "Likely",
      "kroger" : "Unlikely",
      "target" : "Likely",
      "valueChains" : "Highly Likely",
      "walmart" : "Unlikely"
    },
    "buyers" : {
      "christmasOrnamentsCollectibles" : "Unlikely",
      "heavyFiberFocusedFood" : "Unlikely",
      "heavyGlutenFreeFood" : "Highly Likely",
      "heavyLowFatFood" : "Unlikely"
    },
    "chef" : {
      "experimental" : "Highly Likely",
      "master" : "Highly Likely",
      "realIngredient" : "Likely"
    },
    "customers" : {
      "amazonPrime" : "Highly Likely",
      "clicktoCartHomeDelivery" : "Highly Likely",
      "clicktoCartPickUp" : "Likely",
      "groceryLoyaltyCard" : "Likely",
      "mensBigandTallApparel" : "Highly Likely",
      "newRoof" : "Likely",
      "plantoPurchaseSmartHomeProducts" : "Likely",
      "subscriptionorAutoShipmentClothAccessories" : "Likely",
      "subscriptionorAutoShipmentFoodorBeverage" : "Highly Likely",
      "subscriptionorAutoShipmentHouseholdProduct" : "Likely",
      "subscriptionorAutoShipmentPersonalCare" : "Likely",
      "subscriptionorAutoShipmentPetProducts" : "Highly Likely",
      "subscriptionorAutoShipment" : "Highly Likely",
      "womensPlusSizeApparel" : "Likely",
      "qsrcash" : "Unlikely"
    },
    "consumers" : {
      "coinsCollector" : "Likely",
      "contactlessPayApplication" : "Likely",
      "doitYourselfer" : "Unlikely",
      "gamers" : "Likely",
      "groceryStoreFrequenters" : "Likely",
      "homeRemodelers" : "Unlikely",
      "intheMarkettoPurchaseaHome" : "Likely",
      "mealKitDelivery" : "Highly Likely",
      "pandemicLuxurySpenders" : "Likely",
      "pandemicRiskTolerant" : "Highly Likely",
      "plantogetFitnessMembership" : "Likely",
      "retailTexters" : "Highly Likely",
      "vegetarians" : "Highly Likely"
    },
    "owners" : {
      "pet" : "Unlikely"
    },
    "readers" : {
      "label" : "Highly Likely",
      "retailerCircular" : "Highly Likely"
    },
    "subscribers" : {
      "retailerEmail" : "Unlikely"
    },
    "planners" : {
      "budgetMeal" : "Highly Likely",
      "meal" : "Highly Likely",
      "preShop" : "Unlikely"
    },
    "purchasers" : {
      "frequentMobile" : "Likely",
      "greenProduct" : "Unlikely",
      "impulse" : "Unlikely",
      "organicFood" : "Unlikely",
      "organicProduct" : "Likely",
      "webSurferBrickMortar" : "Likely",
      "webandBrickMortarViewerOnline" : "Likely"
    },
    "spenders" : {
      "pandemicDecreasedSpenders" : "Likely"
    },
    "shoppers" : {
      "bargain" : "Likely",
      "everydayLowPrice" : "Likely",
      "highend" : "Highly Likely",
      "multiRetailer" : "Likely",
      "oneStop" : "Likely",
      "priceMatchers" : "Highly Likely",
      "privateLabel" : "Likely",
      "quickShopAtWalmartOrTarget" : "Likely",
      "stockUp" : "Unlikely",
      "whatsOnSale" : "Likely"
    },
    "stores" : {
      "stockUpAtGroceryStores" : "Unlikely",
      "stockUpAtWalmart" : "Unlikely"
    },
    "users" : {
      "brandedRetailCreditCard" : "Highly Likely",
      "convenienceDrivenPersonalCareProduct" : "Highly Likely",
      "groceryStoreApp" : "Unlikely",
      "heavyCoupon" : "Likely",
      "mobileShoppingList" : "Likely",
      "paperShoppingList" : "Unlikely",
      "targetCartwheel" : "Unlikely",
      "walmartSavingCatcher" : "Unlikely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Additional Properties
Properties: details.marketTrends

customers.Newroofcustomers string

The model indicates customers who has purchased a new roof for home in the last 3 years

customers.Plantopurchasesmarthomeproductscustomers string

This model ranks consumers based upon their likelihood to be plan to purchase smart home products.

customers.Qsrcashcustomers string

This model ranks consumers based upon their likelihood to pay cash at QSRs.

customers.Subscrorautoshipmentclothaccessoriescustomers string

This model ranks consumers based upon their likelihood to be subscribers.

customers.Subscrorautoshipmentfoodorbeveragecustomers string

This model ranks consumers based upon their likelihood to be subscribers.

customers.Subscrorautoshipmenthouseholdproductcustomers string

This model ranks consumers based upon their likelihood to be subscribers.

customers.Subscrorautoshipmentpersonalcarecustomers string

This model ranks consumers based upon their likelihood to be subscribers.

customers.Subscrorautoshipmentpetproductscustomers string

This model ranks consumers based upon their likelihood to be subscribers.

customers.Subscrorautoshipmentcustomers string

This model estimates to have current subscriptions to magazines and/or books.

customers.Womensplussizeapparelcustomers string

This model ranks consumers based upon their likelihood be women's plus size households

consumers.Coinscollector string

This model ranks consumers based upon their likelihood to collect coins.

consumers.Contactlesspayapplicationconsumers string

This model ranks consumers based upon their likelihood to use contactless payment methods.

consumers.Doityourselfer string

This model ranks consumers based upon their likelihood to complete their own moderate to large home improvements.

consumers.Gamers string

This model ranks consumers based upon their likelihood to participate in online gaming.

consumers.Grocerystorefrequenters string

This model ranks consumers based upon their likelihood to frequently shop at grocery stores.

consumers.Homeremodelers string

This model ranks consumers based upon their likelihood to do home re modeling projects.

consumers.Inthemarkettogetahomeloan string

This model ranks consumers based upon their likelihood to purchase a home in next 12 months.

consumers.Mealkitdeliveryconsumers string

This model ranks consumers based upon their likelihood to have meal kits delivered.

consumers.Pandemicluxuryspenders string

This model ranks consumers based upon their likelihood to be luxury spenders during the pandemic.

consumers.Pandemicrisktolerantconsumers string

This model ranks consumers based upon their likelihood to be risk tolerant during the pandemic.

consumers.Plantogetfitnessmembership string

This model ranks consumers based upon their likelihood to plan to get a membership in the next 12 months.

consumers.Retailtexters string

This model ranks consumers based upon their likelihood to open text messages from retailers.

consumers.Vegetarians string

This model ranks consumers based upon their likelihood to be vegetarians.

owners.Petowners string

This model ranks consumers based upon their likelihood to own a pet.

readers.Labelreaders string

The model indicates the Reader of product labels.

readers.Retailercircularreaders string

This model indicates shoppers who have an increased likelihood to research trips by reviewing newspaper or digital circulars.

subscribers.Retaileremailsubscribers string

The model indicates greater likelihood to subscribe to retailer emails.

planners.Budgetmealplanners string

This model indicates customers plan meals in advance to manage budgets and stretch dollars.

planners.Mealplanners string

This model indicates shoppers who develop weekly meal plans and shopping list to match their meal plans.

planners.Preshopplanners string

This model indicates customer having greater likelihood shoppers are spending time research and planning trips prior to going to the store .

purchasers.Frequentmobilepurchasers string

This model ranks consumers based upon their likelihood to make purchases via their mobile phone.

purchasers.Greenproductpurchasers string

The model indicates the purchase or seek products that are non toxic, energy and water-efficient, and harmless to the environment.

purchasers.Impulsepurchasers string

The model indicates the increase in likelihood shoppers will purchase off. list items during in-store shopping.

purchasers.Organicfoodpurchasers string

The model indicates customers who seek food made from organic raw materials and organic certification.

purchasers.Organicproductpurchasers string

The model indicates customers who seek products made from organic raw materials and organic certification.

purchasers.Websurferbrickmortarpurchasers string

This model ranks consumers based upon their likelihood to first surf the web then make purchases in stores.

purchasers.Webandbrickmortarvieweronlinepurchasers string

This model ranks consumers based upon their likelihood to first surf the web and look at products in stores and then make purchases in online.

spenders.Pandemicdecreasedspenders string

This model ranks consumers based upon their likelihood to have decreased spending during the pandemic.

shoppers.Bargainshoppers string

This model ranks consumers based upon their likelihood to shop on sale or use coupons.

shoppers.Everydaylowpriceshoppers string

The model indicates the greater likelihood to shop at or favor everyday low price format (example: Walmart).

shoppers.Highendshoppers string

This model ranks consumers based upon their likelihood to shop in high-end stores (specialty or department) such as Coach or Nord storms.

shoppers.Multiretailershoppers string

The model indicates the increased likelihood of going to multiple retailers to execute their shopping list and fulfil shopping trip needs.

shoppers.Onestopshoppers string

The model indicates customers who primarily shop at one retailer for each shopping trip.

shoppers.Pricematchers string

The model indicates the shoppers that tend to match prices across retailers to where to shop and what to buy.

shoppers.Privatelabelshopper string

The model indicates the shoppers that have a greater likelihood to purchase private label brands.

shoppers.Quickshopatwalmartortarget string

The model indicates the shoppers that complete quick stop in trips at Walmart or Target.

shoppers.Stockupshoppers string

The model indicates the increase likelihood to complete larger shopping trips to fill-up on items and stock their pantries.

shoppers.Whatsonsaleshoppers string

The model indicates the greater likelihood shoppers plan what to buy based on what is on sale and will not purchase products unlesson sale.

stores.Stockupatgrocerystores string

The model indicates the shopper that complete larger dollar sales trips at traditional grocery stores.

stores.Stockupatwalmart string

The model indicates the shopper that complete larger dollar sales trips at Walmart stores.

users.Brandedretailcreditcardusers string

This model ranks consumers based upon their likelihood to open cards specific to individual retailers or open cards to accrue points for use at retailer.

users.Conveniencedrivenpersonalcareproductusers string

Most likely to purchase personal care products based on ease of use.

users.Grocerystoreappusers string

This model ranks consumers based upon their likelihood to use grocery store apps when they shop.

users.Heavycouponusers string

This model estimates the increased in likelihood to be active coupon clippers and redeemers.

users.Mobileshoppinglistusers string

This model indicates the greater likelihood to make a shopping list on their mobile phone.

users.Papershoppinglistusers string

The model indicates the shoppers who make and use paper list.

users.Targetcartwheelusers string

The model indicates the shoppers that report using the Target Cartwheel App.

users.Walmartsavingcatcherusers string

The model indicates the shoppers that report using the Walmart SavingsCatcher App.

Technology and Communication

The Technology & Communications Insights Bundle provides the most useful information related to the technology penetration/Usage of different technologies by your customers and prospects and the keys in the details object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "switchers" : {
      "mobilePhoneService" : "Unlikely"
    },
    "seekers" : {
      "onlineDegreeEducation" : "Likely"
    },
    "enthusiasts" : {
      "artHouseMovie" : "Highly Likely",
      "discountMovie" : "Highly Likely",
      "fantasySports" : "Likely",
      "freeStreaming" : "Likely",
      "frequentMovie" : "Highly Likely",
      "gamingnonMobileDevices" : "Likely",
      "mobileGaming" : "Highly Likely",
      "openingWeekendMovie" : "Likely",
      "paidStreaming" : "Unlikely"
    },
    "customers" : {
      "directMediaPreference" : "Likely",
      "internationalWirelessorLandline" : "Unlikely",
      "internetResearchPreference" : "Unlikely",
      "plantoPurchaseSmartHomeProducts" : "Likely",
      "quantumUpgrade" : "Unlikely",
      "smartHome" : "Likely",
      "socialMediaPreference" : "Likely",
      "sprintCellPhoneCustomer" : "Unlikely",
      "verizonCellPhoneCustomer" : "Highly Likely",
      "wiredService" : "Unlikely",
      "tmobileCellPhoneCustomer" : "Likely",
      "at_TCellPhoneCustomer" : "Likely",
      "voiplandline" : "Highly Likely"
    },
    "consumers" : {
      "cableBundlecableinternethomephone" : "Likely",
      "contactlessPayApplication" : "Likely",
      "cordCutters" : "Likely",
      "frequentOnlineMovieViewers" : "Likely",
      "gamers" : "Likely",
      "gigEconomyEmployees" : "Highly Likely",
      "intheMarkettoPurchaseaHome" : "Likely",
      "intendtoPurchaseaSamsungmobiledevice" : "Likely",
      "intendtopurchase5GService" : "Unlikely",
      "mobileBrowsers" : "Likely",
      "movieLoyaltyProgramMembers" : "Likely",
      "plantoPurchaseHomeSecuritySystems" : "Unlikely",
      "satelliteBundlesatelliteinethomeorwireless" : "Highly Likely",
      "sociallyInfluenced" : "Unlikely",
      "technologyEarlyAdopters" : "Highly Likely",
      "teleMedicine" : "Likely",
      "wiredLineVideoConnectors" : "Likely"
    },
    "owners" : {
      "androidSmartPhone" : "Likely",
      "appleSmartPhone" : "Unlikely",
      "smartTV" : "Highly Likely",
      "tablet" : "Likely"
    },
    "subscribers" : {
      "cableTVPremium" : "Likely",
      "satelliteRadio" : "Likely"
    },
    "purchasers" : {
      "frequentMobile" : "Likely",
      "frequentOnlineMusic" : "Highly Likely"
    },
    "users" : {
      "app" : "Likely",
      "mobileShoppingList" : "Likely",
      "primaryCellPhone" : "Unlikely",
      "smartPhone" : "Unlikely",
      "sociallyActiveonFacebook" : "Highly Likely",
      "sociallyActiveonFacebookBrandLikers" : "Unlikely",
      "sociallyActiveonFacebookCategoryRecommenders" : "Highly Likely",
      "sociallyActiveonPinterest" : "Unlikely",
      "sociallyActiveonTwitter" : "Unlikely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Discretionaryspendingincome string

Household income after taxes, shelter, food, clothes, transportation, utilities, and healthcare.

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Additional Properties
Properties: details.marketTrends

switchers.Mobilephoneservice string

This model ranks consumers based upon their likelihood to switch mobile phone services.

seekers.Onlinedegreeeducation string

This model ranks consumers based on their likelihood to be online degree/online education seekers.

enthusiasts.Arthousemovie string

This model ranks consumers based upon their likelihood to attend art house movie venues.

enthusiasts.Discountmovie string

This model ranks consumers based upon their likelihood to attend discount movies.

enthusiasts.Fantasysports string

This model ranks consumers based upon their likelihood to participate in fantasy sports.

enthusiasts.Freestreaming string

This model ranks consumers based upon their likelihood to use free streaming services.

enthusiasts.Frequentmovie string

This model ranks consumers based upon their likelihood to attend movies.

enthusiasts.Gamingnonmobiledevices string

This model ranks consumers based upon their likelihood to be gaming enthusiasts on non Mobile-devices.

enthusiasts.Mobilegaming string

This model ranks consumers based upon their likelihood to be mobile game enthusiasts.

enthusiasts.Openingweekendmovie string

This model ranks consumers based upon their likelihood to go attend movies on opening weekend.

enthusiasts.Paidstreaming string

This model ranks consumers based upon their likelihood to pay for streaming services.

customers.AT_Tcellphonecustomer string

This model ranks consumers based upon their likelihood to be an AT&T Cell Phone Customer.

customers.Directmediapreferencecustomers string

This model ranks consumers based upon their likelihood to review media via postal mail.

customers.Internationalwirelessorlandlinecustomers string

This model ranks consumers based upon their likelihood to have this service.

customers.Internetresearchpreferencecustomers string

This model ranks consumers based upon their likelihood to review media via searches online.

customers.Plantopurchasesmarthomeproductscustomers string

This model ranks consumers based upon their likelihood to be plan to purchase smart home products.

customers.Quantumupgradecustomers string

This model ranks consumers based upon their likelihood to require greater than 50 meg storage upgrades via internet plans.

customers.Smarthomecustomers string

This model ranks consumers based upon their likelihood to be smart home customers.

customers.Socialmediapreferencecustomers string

This model ranks consumers based upon their likelihood to review media via social networks.

customers.Sprintcellphonecustomer string

This model ranks consumers based upon their likelihood to be a Sprint Cell Phone Customer.

customers.Tmobilecellphonecustomer string

This model ranks consumers based upon their likelihood to be a T-Mobile Cell Phone Customer .

customers.Voiplandlinecustomers string

This model ranks consumers based upon their likelihood to have this service.

customers.Verizoncellphonecustomer string

This model ranks consumers based upon their likelihood to be a Verizon Cell Phone Customer.

customers.Wiredservicecustomers string

This model ranks consumers based upon their likelihood to have wired service.

consumers.Cablebundlecableinternethomephone string

This model ranks consumers based upon their likelihood to purchase cable, internet and home phone from the same provider.

consumers.Contactlesspayapplicationconsumers string

This model ranks consumers based upon their likelihood to use contactless payment methods.

consumers.Cordcutters string

This model ranks consumers based upon their likelihood not to have cable or paid TV subscriptions.

consumers.Frequentonlinemovieviewers string

This model ranks consumers based upon their likelihood to access movies online.

consumers.Gamers string

This model ranks consumers based upon their likelihood to participate in online gaming.

consumers.Gigeconomyemployees string

This model ranks consumers based upon their likelihood to be gig employed.

consumers.Inthemarkettopurchaseahome string

This model ranks consumers based upon their likelihood to purchase a condo/apartment/house in next 12 months.

consumers.Intendtopurchaseasamsungmobiledevice string

This model ranks consumers based upon their likelihood to purchase a Samsung Mobile Device.

consumers.Intendtopurchase5Gservice string

This model ranks consumers based upon their likelihood to purchase 5G service.

consumers.Mobilebrowsers string

This model ranks consumers based upon their likelihood to research products via their mobile phone.

consumers.Movieloyaltyprogrammembers string

This model ranks consumers based upon their likelihood to belong to movie loyalty programs.

consumers.Plantopurchasehomesecuritysystems string

This model ranks consumers based upon the. likelihood to purchase a security system in the next 12months.

consumers.Satellitebundlesatelliteinethomeorwireless string

This model ranks consumers based upon their likelihood to purchase satellite and internet and at least one of home or wireless phone services from the same provider

consumers.Technologyearlyadopters string

This model ranks consumers based upon their likelihood to invest in new technology.

consumers.Telemedicineconsumers string

This model ranks consumers based upon their likelihood to use tele-medicine.

consumers.Wiredlinevideoconnectors string

This model ranks consumers based upon their likelihood to plan to own aWired Line Video Connector.

owners.Androidsmartphoneowners string

This model ranks consumers based upon their likelihood to ownAndroid smart phones.

owners.Applesmartphoneowners string

This model ranks consumers based upon their likelihood to own Apple smart phones.

owners.Smarttvowners string

This model ranks consumers based upon their likelihood to own a SmartTV.

owners.Tabletowners string

This model ranks consumers based upon their likelihood to own tablets such as the iPad.

subscribers.Cabletvpremiumsubscribers string

This model ranks consumers based upon their likelihood to have premium channel service (eg: NFL, HBO, Showtime).

subscribers.Satelliteradiosubscribers string

This model ranks consumers based upon their likelihood to subscribe.

purchasers.Frequentmobilepurchasers string

This model ranks consumers based upon their likelihood to make purchases via their mobile phone.

purchasers.Frequentonlinemusicpurchasers string

This model ranks consumers based upon their likelihood to purchase music online.

users.Appusers string

This model ranks consumers based upon their likelihood to use apps.

users.Mobileshoppinglistusers string

This model ranks the greater likelihood to make a shopping list on their mobile phone.

users.Primarycellphoneusers string

This model ranks consumers based upon their likelihood to use their cell phone as primary phone.

users.Smartphoneuser string

This model ranks consumers based upon their likelihood to use a smartphone.

users.Sociallyactiveonfacebook string

This model ranks consumers based upon their likelihood to useFacebook with 100+ contacts.

users.Sociallyactiveonfacebookbrandlikers string

This model ranks consumers based upon their likelihood to like numerous brands on Facebook.

users.Sociallyactiveonfacebookcategoryrecommenders string

This model ranks consumers based upon their likelihood to recommend numerous categories on Facebook.

users.Sociallyactiveonpinterest string

This model ranks consumers based upon their likelihood to use Pinterest daily.

users.Sociallyactiveontwitter string

This model ranks consumers based upon their likelihood to use Twitter daily.

Travel and Hospitality

The Travel & Hospitality Insights Bundle provides the most valuable information related to the travel interests of your customers and prospects. This helps in getting to know your customers and to provide them with personalised offers and experiences based on their interests and past interactions and the keys in the details object represents a Person Summary.

{
  "name" : null,
  "age" : {
    "value" : 40
  },
  "gender" : null,
  "household" : {
    "familyInfo" : {
      "numberOfChildren" : "2"
    },
    "homeInfo" : {
      "dwellingType" : "Business",
      "dwellingTypeIndicator" : "S",
      "householdEducation" : "College",
      "householdEducationIndicator" : "S",
      "lengthOfResidence" : "20+ yrs",
      "lengthOfResidenceIndicator" : "S",
      "familyComposition" : "9"
    },
    "presence" : {
      "presenceOfChildren" : "Y",
      "presenceOfChildrenIndicator" : "H"
    },
    "finance" : {
      "income" : "$30,000 - $39,999",
      "incomeIndicator" : "H ",
      "discretionarySpendingIncome" : "$65,000 - $74,999",
      "netWorth" : "$150,000 - $249,999"
    }
  },
  "demographics" : {
    "age" : {
      "value" : 40
    },
    "homeInfo" : {
      "homeOwner" : "Definite Renter",
      "homeOwnerIndicator" : "S"
    },
    "enthusiasts" : {
      "niches" : "Chic Society"
    },
    "maritalInfo" : {
      "maritalStatus" : "Married",
      "maritalStatusIndicator" : "S"
    }
  },
  "surveys" : {
    "travel" : {
      "timeshare" : "Y",
      "business" : "Y",
      "cruiseShipVacation" : "Y",
      "international" : "Y",
      "leisure" : "Y",
      "rvVacations" : "Y",
      "travelInTheUSA" : "Y",
      "traveler" : "Y"
    }
  },
  "emails" : [ ],
  "phones" : [ ],
  "profiles" : { },
  "locations" : [ ],
  "employment" : [ ],
  "photos" : [ ],
  "education" : [ ],
  "urls" : [ ],
  "marketTrends" : {
    "enthusiasts" : {
      "barandLoungeFood" : "Highly Likely"
    },
    "attendees" : {
      "amusementPark" : "Unlikely",
      "culturalArtsEvents" : "Unlikely",
      "liveMusicConcert" : "Highly Likely",
      "professionalSportsEvents" : "Likely"
    },
    "consumers" : {
      "airlineUpgraders" : "Likely",
      "casinoGamer" : "Highly Likely",
      "contactlessPayApplication" : "Likely",
      "hotelLoyaltyProgramMembers" : "Likely",
      "intheMarkettoPurchaseaHome" : "Likely",
      "likelyCruiser" : "Likely",
      "longRoadTripTakers" : "Likely",
      "personalTraveler" : "Likely",
      "upcomingRetirees65andOlder" : "Unlikely"
    },
    "owners" : {
      "secondHome" : "Likely",
      "timeshare" : "Highly Likely"
    },
    "travellers" : {
      "business" : "Unlikely",
      "international" : "Likely",
      "rvtripTakers" : "Unlikely"
    },
    "purchasers" : {
      "impulse" : "Unlikely",
      "rv" : "Likely"
    },
    "spenders" : {
      "vacationSpenders" : "Likely"
    },
    "shoppers" : {
      "bargainHotel" : "Highly Likely"
    },
    "users" : {
      "publicTransportation" : "Highly Likely",
      "uberOrLyft" : "Unlikely"
    }
  }
}
Properties

full.name string

The full name (first and last) of the individual.

details.age.value integer

The age in years of the individual.

details.gender string

The gender of the individual.

Properties: details.household

familyInfo.Numberofchildren string

The number of known children in the household; Unknown should not be interpreted as "No" children.

homeInfo.Dwellingtype string

This indicate the type of structure of the building in which the household resides.

homeInfo.Dwellingtypeindicator string

Advantage dwelling type indicator.

homeInfo.Householdeducation string

Median school years completed by adults age 18 or older.

homeInfo.Householdeducationindicator string

household education indicator.

homeInfo.Lengthofresidence string

This indicates the length of time a household has been identified at this address.

homeInfo.Lengthofresidenceindicator string

length of residence indicator.

homeInfo.Familycomposition string

This represents the makeup of the household, such as married couple with children, married couple with no children or single female with no children.

presence.Presenceofchildren string

Child present in household; Unknown should not be interpreted as "No" children.

presence.Presenceofchildrenindicator string

presence of children indicator.

Properties: details.household.finance

Incomeindicator string

This reflects whether data is sourced via self-reported income or inferred.

Incomeindex string

Reflects an index comparing a household's income to the average income for the county in which the household resides..

Discretionaryspendingincome string

Household income after taxes, shelter, food, clothes, transportation, utilities, and healthcare.

Networth string

This estimates the Net Worth model. Value equals household's asset minus liabilities.

Properties: details.demographics

age.value string

The age in years of the individual.

homeInfo.Homeowner string

Classification of household head as an owner/renter.

homeInfo.Householdeducationindicator string

household education indicator.

enthusiasts.niches string

A specialised segment of the consumers.

maritalinfo.Maritalstatus string

Marital status of individual.

maritalinfo.Maritalstatusindicator string

individual marital status indicator.

Properties: details.survey

travel.Timeshare string

This model indicates the interest present in Household for timeshare travel

travel.Business string

This model indicates the interest present in Household for business travel

travel.Cruiseshipvacation string

This model indicates the interest present in Household for cruise ship vacation

travel.International string

This model indicates the interest present in Household for international travel

travel.Leisure string

This model indicates the interest present in Household for leisure travel

travel.Travelintheusa string

This model indicates the interest present in Household for travel in the usa

travel.Traveler string

This model indicates the interest present in Household for travel

travel.Rvvacations string

This model indicates the interest present in Household for RV vacations

Additional Properties
Properties: details.marketTrends

enthusiasts.Barandloungefood string

This model ranks consumers based upon their likelihood to go to bars, clubs or lounges 3X a week or more.

Attendees.Amusementpark string

This model ranks consumers based upon their likelihood attend amusement parks.

Attendees.Culturalartsevents string

This model ranks consumers based upon their likelihood to attend these events.

Attendees.Livemusicconcert string

This model ranks consumers based upon their likelihood to attend concerts.

Attendees.Professionalsportsevents string

This model ranks consumers based upon their likelihood to attend these events.

consumers.Airlineupgraders string

This model ranks consumers based upon their likelihood to be willing to pay slightly more for an airline coach seat with more legroom (i.e. Delta Comfort or American Main Cabin Extra)at check-in.

consumers.Casinogamer string

This model ranks consumers based upon their likelihood the household is a casino gamer.

consumers.Contactlesspayapplicationconsumers string

This model ranks consumers based upon their likelihood to use contactless payment methods.

consumers.Hotelloyaltyprogrammembers string

This model ranks consumers based upon their likelihood to belong to one or more hotel member programs.

consumers.Inthemarkettopurchaseahome string

This model ranks consumers based upon their likelihood to purchase a condo/apartment/house in next 12 months.

consumers.Likelycruiser string

This model ranks consumers based upon their likelihood to take cruises.

consumers.Longroadtriptakers string

This model ranks consumers based upon their likelihood to take long road trips.

consumers.Personaltraveler string

This model ranks consumers based upon their likelihood to engage in personal travel at least 11 days per year .

consumers.Upcomingretirees65Andolder string

This model ranks consumers based upon their likelihood to retire at age 65 and older in the next 12 months.

owners.Secondhomeowners string

This model ranks consumers based upon their likelihood to have more than on residence.

owners.Timeshareowners string

This model ranks consumers based upon their likelihood to belong to own timeshares.

travellers.Businesstraveler string

This model ranks consumers based upon their likelihood to travel for business at least 11 days per year.

travellers.Internationaltraveler string

This model ranks consumers based upon their likelihood to conduct international travel.

travellers.Rvtriptakers string

This model which ranks consumers based upon their likelihood to take RV trips.

purchasers.Impulsepurchasers string

This model indicates the increased likelihood shoppers will purchase off list items during in-store shopping.

purchasers.Rvpurchasers string

This model ranks consumers based upon their likelihood to take RV trips.

spenders.Vacationspenders string

This model ranks consumers based upon their likelihood to spend $4000+ annually on personal vacations.

shoppers.Bargainhotelshoppers string

This model ranks consumers based upon their likelihood to belong to shop for hotels based upon price concessions.

users.Publictransportationusers string

This model ranks consumers based on their likelihood to regularly use public transportation (eg: trains, bus).

users.Uberlyftusers string

This model ranks consumers based on their likelihood to use a private ride-sharing service.