Vertical Bundles — Automotive

Vertical Bundles — Automotive

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.