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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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
Additional Properties
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.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.
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.
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.
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
Additional Properties
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
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.
