--- updatedAt: 2026-04-10T19:30:42.000Z agentTools: projectIndex: https://docs.fullcontact.com/llms.txt --- # 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. ```json { "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.