Vertical Bundles — 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