# 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.

```json
{
  "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<br> string | The full name (first and last) of the individual. |
| details.age.value<br> integer | The age in years of the individual. |
| details.gender<br> string | The gender of the individual. |

| Properties: details.household |
| --- |
| familyInfo.Numberofchildren<br> string | The number of known children in the household; Unknown should not be interpreted as "No" children. |
| homeInfo.Dwellingtype<br> string | This indicate the type of structure of the building in which the household resides. |
| homeInfo.Dwellingtypeindicator<br> string | Advantage dwelling type indicator. |
| homeInfo.Householdeducation<br> string | Median school years completed by adults age 18 or older. |
| homeInfo.Householdeducationindicator<br> string | household education indicator. |
| homeInfo.Lengthofresidence<br> string | This indicates the length of time a household has been identified at this address. |
| homeInfo.Lengthofresidenceindicator<br> string | length of residence indicator. |
| homeInfo.Familycomposition<br> 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<br> string | Child present in household; Unknown should not be interpreted as "No" children. |
| presence.Presenceofchildrenindicator<br> string | presence of children indicator. |

| Properties: details.household.finance |
| --- |
| Incomeindicator<br> string | This reflects whether data is sourced via self-reported income or inferred. |
| Incomeindex<br> string | Reflects an index comparing a household's income to the average income for the county in which the household resides.. |
| Networth<br> string | This estimates the Net Worth model. Value equals household's asset minus liabilities. |

| Properties: details.demographics |
| --- |
| age.value<br> string | The age in years of the individual. |
| homeInfo.Homeowner<br> string | Classification of household head as an owner/renter. |
| homeInfo.Householdeducationindicator<br> string | household education indicator. |
| enthusiasts.niches<br> string | A specialised segment of the consumers. |
| maritalinfo.Maritalstatus<br> string | Marital status of individual. |
| maritalinfo.Maritalstatusindicator<br> 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 to go 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

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Updated:1 month ago

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