Vertical Bundles

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.