Individual Plus Insights

{
  "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.