Vertical Bundles — 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
|
| 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.
|