Data catalog

Indicates the completeness level of the 2020 Census count for a geographic area.

Ranks an individual's likelihood to have purchased health insurance through the Affordable Care Act, modeled based on whether the household purchase health insurance through the Affordable Care Act.

Counts the number of an individual's active credit tradelines.

Indicates whether someone in the household has an interest in donating to active military causes.

Indicates the designation for a secondary address unit, such as Apartment or Suite.

Indicates the presence and gender of adults aged 18-24 in a household.

Indicates the presence and gender of adults aged 18 to 24 in a household.

Indicates the presence and gender of adults aged 35 to 44 in a household.

Indicates the presence and gender of adults aged 45 to 54 in a household.

Indicates the presence and gender of adults aged 18 to 24 in a household.

Indicates the presence and gender of adults aged 65 to 74 in a household.

Counts the number of adults in an individual's household.

Measures an individual's exact age in years, ranging from 0 to 120.

Ranks individuals into five tiers based on spending on agent-sold magazine subscriptions covering outdoor hobbies, fashion, investments, DIY, travel, and home and garden.

Indicates how recently an individual subscribed to agent-sold magazines covering outdoor hobbies, fashion, investments, DIY, travel, and home and garden.

Indicates the type of air conditioning system used to cool the property.

Ranks an individual's likelihood to switch air freshener brands, modeled based on whether the household regularly use air fresheners, and usually purchase different brands, and is very willing to try different brands.

Ranks an individual's likelihood to be an Airbnb or VRBO host, modeled based on whether the household has ever rented a place to stay with Airbnb or VRBO, and in the last two years booked a rental three or more times through Airbnb or through VRBO, or are very likely to use a site like Airbnb or VRBO to rent a place in the next 12 months.

Ranks an individual's likelihood to use Airbnb or VRBO, modeled based on whether the household has ever rented a place to stay with Airbnb or VRBO, and in the last two years booked a rental three or more times through Airbnb or through VRBO, or are very likely to use a site like Airbnb or VRBO to rent a place in the next 12 months.

Ranks an individual's likelihood to purchase airfare directly, modeled based on whether the individual is extremely likely to book through the airline directly, either online or by phone, when booking a flight only or a flight and hotel.

Ranks an individual's likelihood to seek airline agent help, modeled based on whether the individual is extremely likely to get help or advice from the airline by phoning and speaking to an agent, when booking a flight only or a flight and hotel.

Ranks an individual's likelihood to seek airline help online, modeled based on whether the individual is extremely likely to get help or advice from the airline using the ‘help’ or ‘live chat’ feature, when booking a flight only or a flight and hotel.

Ranks an individual's likelihood to be willing to pay slightly more for an airline coach seat with more leg room at check-in, modeled based on whether any household member takes at least one trip per year and would be willing to pay $25 or more for an airline coach seat with more legroom.

Ranks an individual's likelihood to travel to cruise to Alaska, modeled based on whether the household members have taken an Alaskan cruise, or are likely to take an Alaskan cruise in the next two years.

Ranks an individual's likelihood to switch alcohol beverage brands, modeled based on whether household members usually buy different types of alcohol (wine, beer, hard liquor, hard seltzers, hard ciders and other types of alcoholic beverages), and are very willing to try different types.

Ranks an individual's likelihood to receive alcohol deliveries, modeled based on whether the individual or anyone in the household has ever used a delivery service for alcoholic beverages, and use alcohol delivery service at least once per year.

Ranks an individual into five tiers based on a household's relative donation amount to charitable causes supporting well-being and basic needs.

Indicates how recently an individual's household has donated to charitable causes supporting all types of causes that help others improve their well being and support the basic needs in life.

Indicates an individual's broad cause donor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active broad cause donor champion (top 20% spending with most recent activity in past 0-6 months) to Dormant broad cause donor minimal (bottom 20% spending with oldest activity over 25 months ago).

Ranks an individual's likelihood to use alternative energy, modeled based on whether the individual use alternative energy to heat the home or for the individual's hot water, or are the individual very likely or somewhat likely to consider using alternative energy sources in the next 12 months.

Ranks an individual's likelihood to have purchased from Amazon without being an Amazon Prime member, modeled based on whether any household member ordered four or more times from Amazon in the last 12 months without having an Amazon Prime membership.

Ranks an individual's likelihood of being an Amazon Prime customer, modeled based on whether the individual is an Amazon Prime member that has purchased on Amazon 6+ times in the last 12 months.

Ranks an individual's likelihood to be an American diner enthusiast, modeled based on whether the household always selects American food and purchases it four or more times per month.

Indicates whether an individual uses an American Express credit card.

Ranks an individual's likelihood to own an American-made motorcycle.

Ranks an individual's likelihood to attend amusement parks, modeled based on whether the person or their household members visited a theme, amusement, water park, or family resort in the last year and are likely to visit again soon after opening.

Ranks an individual's likelihood to own an Android smartphone, modeled based on whether the person or household members have an LG, Motorola, Samsung, or other Android smartphone brand.

Indicates an individual's animal lover engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active animal lover champion (top 20% spending with most recent activity in past 0-6 months) to Dormant animal lover minimal (bottom 20% spending with oldest activity over 25 months ago). Covers donations from individuals concerned about the well-being of animals and wildlife.

Ranks an individual into five tiers based on how much the household donates to causes supporting animal welfare and wildlife, reflecting a concern for the well-being of animals.

Indicates whether someone in the household has an interest in donating to animal welfare causes.

Ranks an individual's likelihood to donate to animal welfare causes, modeled based on whether household members support animal welfare charitable causes.

Indicates how recently an individual has demonstrated interest in animal welfare, modeled based on households who are concerned about the well-being of animals and wildlife.

Ranks an individual's likelihood to buy annuities, modeled based on whether the person or a household member obtained a fixed or variable annuity in the last two years or plans to get one in the next 12 months.

Ranks an individual's likelihood to use apps, modeled based on whether the individual or other household members use 11 or more apps daily.

Ranks an individual's likelihood to purchase apparel based on return policies, modeled based on whether the individual has used clothing and/or shoe stores that offer return programs to help reduce environmental impacts of purchases, and is it very important that they have these policies, and are the individual more likely to shop at a store that offers a return program for recycling, re-selling, or re-purposing clothing or shoes.

Ranks an individual's likelihood to be an Apple Pay individuals, modeled based on whether the household use Apple Pay monthly or more often to pay for purchases or to transfer money.

Ranks an individual's likelihood to own Apple smartphones, modeled based on whether the household members have an Apple brand smartphone.

Ranks an individual's likelihood to upgrade appliances, modeled based on whether the household plan to buy a large home appliance in the next 12 months, and are looking to upgrade a current appliance or looking for a new type of appliance that don't currently have.

Indicates the appraised land values as provided by the county or local taxing or assessment authority.

Ranks an individual's likelihood to attend art house movie theaters, modeled based on whether household members watch movies at an art house theater two or more times per year.

Indicates how recently an individual purchased arts and crafts supplies such as scrapbooking, painting, needlecraft, or candle-making materials.

Ranks an individual into five tiers based on their relative spending level on arts and crafts, such as painting, needlecrafts, and other non-decor hobby supplies.

Indicates whether someone in the household has an interest in donating to arts and cultural organizations.

Indicates an individual's arts and crafts engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active arts crafts champion (top 20% spending with most recent activity in past 0-6 months) to Dormant arts crafts minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the arts and crafts category.

Ranks an individual's likelihood to travel to Asia, modeled based on whether the person or a household member has traveled to an Asian country in the last five years, or is definitely or very likely to in the next five years.

Represents the name of the post office closest to an address.

Ranks an individual's likelihood of being an AT&T cell phone customer.

Ranks an individual's likelihood to own an ATV, 3-wheeler, or side-by-side vehicle, modeled based on whether the household has an ATV or side-by-side vehicle.

Indicates an individual's likelihood to have purchased auto insurance through an in-person sales agent within the last two years.

Indicates an individual's likelihood to have purchased auto insurance through a call center, by working with a sales agent over the phone within the last two years.

Counts the number of auto insurance purchasing channels an individual is likely to use, covering agent-sold, call center, and self-serve online channels.

Ranks an individual's likelihood to purchase auto insurance through any channel, including agent-sold policies, call center purchases, and self-serve online purchases.

Ranks an individual's likelihood to purchase vehicle telematics to receive auto insurance loyalty gifts, modeled based on whether the individual is interested in an auto insurance program that uses a device in the individual's vehicle to monitor the individual's driving and gives rewards points for good driving behavior.

Indicates an individual's likelihood to have purchased auto insurance online without the help of an agent within the last two years.

Ranks an individual's likelihood to use telematics devices in their vehicle to earn auto insurance premium discounts or loyalty rewards for good driving behavior.

Ranks an individual's likelihood to use telematics for auto insurance discounts, modeled based on whether the individual is interested in an auto insurance program that uses a device to monitor driving behavior.

Ranks an individual's likelihood to require an auto loan in the next 12 months, modeled based on whether the individual plan to get a loan or financing option on a vehicle in the next 12 months.

Ranks an individual's likelihood to purchase from an auto parts store.

Indicates whether someone in the household has an interest in automotive work.

Ranks an individual's likelihood to buy an autonomous vehicle.

Measures the current market value of the individual's home(s) minus any outstanding mortgage balance(s) or lien(s).

Ranks an individual into five tiers based on average spending per 12-month period across all captured purchase channels and categories (excludes mortgages, rent, and loan payments).

Ranks an individual's likelihood to read three or more books per month, modeled based on whether the household read three or more books in a month.

Indicates an individual's avid gardener engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active avid gardener champion (top 20% spending with most recent activity in past 0-6 months) to Dormant avid gardener minimal (bottom 20% spending with oldest activity over 25 months ago). Covers households that enjoy maintaining yards and tending elaborate garden beds for perennials, vegetables, fruits, bulbs, and annuals.

Indicates an individual's avid magazine subscriber engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active avid magazine subscriber champion (top 20% spending with most recent activity in past 0-6 months) to Dormant avid magazine subscriber minimal (bottom 20% spending with oldest activity over 25 months ago). Covers avid subscribers to a wide variety of agent-sold magazines spanning outdoor hobbies, fashion, investments, DIY, travel, and home and garden.

Ranks an individual's likelihood to subscribe to read three or more magazines per month, modeled based on whether the household read three or more magazines in a month.

Indicates an individual's B2B business marketing engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active b2b business marketing champion (top 20% spending with most recent activity in past 0-6 months) to Dormant b2b business marketing minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the B2B business marketing category.

Ranks individuals into five tiers based on spending on B2B office and corporate gifts, such as logoed merchandise, client gifts, or corporate spiffs.

Ranks an individual into five tiers based on spending on B2B maintenance, repair, and operations supplies such as janitorial products, replacement parts, and business forms.

Ranks an individual into five tiers based on association with business-to-business marketing purchases.

Indicates an individual's B2B maintenance, repair, and operations (MRO) engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active b2b mro champion (top 20% spending with most recent activity in past 0-6 months) to Dormant b2b mro minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the B2B MRO category.

Indicates an individual's B2B office and corporate gifts engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active b2b office and corporate gifts champion (top 20% spending with most recent activity in past 0-6 months) to Dormant b2b office and corporate gifts minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the B2B office and corporate gifts category.

Indicates how recently an individual purchased B2B office and corporate gifts, such as logoed merchandise, client gifts, or corporate spiffs.

Indicates an individual's B2B training and publications engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active b2b training and publications champion (top 20% spending with most recent activity in past 0-6 months) to Dormant b2b training and publications minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the B2B training and publications category.

Indicates how recently an individual purchased B2B training materials and publications such as safety training posters and business reference materials.

Ranks an individual into five tiers based on the average dollars spent on the B2B Training and Publications category. These are corporate gifts and spiffs such as corporate logo’d merchandise given to employees but bought by the corporation.

Ranks an individual's likelihood to purchase baby formula, modeled based on whether the household purchase baby formula, or plan to purchase within the next 12 months.

Ranks an individual's likelihood to shop for baby supplies, modeled based on whether the household has bought at least one of baby diapers, baby wipes, baby bottles, baby toys, baby bedding, baby car seat or stroller, baby clothing, other baby products, for the home or as a gift in the last six months.

Indicates whether someone in the household has an interest in baking.

Indicates the date a bank-issued card (credit or debit) was most recently issued to an individual.

Ranks an individual's likelihood to frequent bars, clubs, or lounges, modeled based on whether household members purchase food from bars, clubs, or lounges four or more times per month.

Ranks an individual's likelihood to shop for hotels based on price concessions, modeled based on whether the individual travel at least one day per year for personal reasons and is price very important to the individual when purchasing a hotel stay.

Ranks an individual's likelihood to shop on sale or use coupons, modeled based on whether the individual usually put in effort to find and take advantage of the best deals possible and regularly perform numerous activities to get good deals (e.g., look for sale before buying, look online for coupons, line up for store sales, wait for product to go on sale).

Ranks an individual's likelihood to plan to watch baseball for entertainment, modeled based on whether the household watch baseball at least every few weeks.

Ranks an individual's donation amount to charities providing basic needs such as food, shelter, clothing, and healthcare relative to other donors.

Indicates how recently an individual has donated to organizations providing food, shelter, clothing, and healthcare for communities locally and abroad.

Indicates an individual's basic needs donor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active basic needs donors champion (top 20% spending with most recent activity in past 0-6 months) to Dormant basic needs donors minimal (bottom 20% spending with oldest activity over 25 months ago). Covers donors who support charities that help provide basic needs such as food, shelter, clothing, and healthcare in local communities and abroad.

Ranks an individual's likelihood to plan to watch football for entertainment, modeled based on whether the household watch basketball every few weeks.

Counts the total number of bathroom fixtures within the property.

Counts the total number of full and partial bathrooms for the property.

Indicates an individual's beauty and spa engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active beauty and spa champion (top 20% spending with most recent activity in past 0-6 months) to Dormant beauty and spa minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the beauty and spa category.

Indicates how recently an individual made a purchase within the Beauty and Spa category.

Ranks an individual into five tiers based on the average dollars spent on the beauty and spa category.

Ranks an individual's likelihood to consume beef jerky, modeled based on whether any household members eat beef jerky daily or every few days.

Ranks an individual's likelihood to switch beer brands, modeled based on whether household members usually buy different brands of beer, and are very willing to try different brands of beer.

Indicates whether someone in the household has an interest in bestselling fiction books.

Ranks an individual into five tiers based on the average dollars spent on beverages.

Indicates an individual's beverages engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active beverages champion (top 20% spending with most recent activity in past 0-6 months) to Dormant beverages minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the beverages category.

Indicates how recently an individual purchased an item within the Beverages category, which is primarily focused on coffees, teas, and other non-alcoholic beverages rather than alcoholic drinks.

Indicates whether someone in the household has an interest in big game hunting.

Indicates whether someone in the household has an interest in bird watching and feeding.

Indicates whether the birthdate of the first child in a household was directly sourced or inferred from other household attributes.

Shows whether the Birth date of child 2 was based on data specific to this household or inferred from similar households when direct data was unavailable.

Indicates whether the birthdate of the third child in a household was directly sourced or inferred from other household attributes.

Indicates whether the birthdate of the fourth child was directly sourced or inferred from other household attributes.

Indicates the birthdate of the individual.

Indicates the birthdate of the individual's first child.

Indicates the birth year and month of an individual's second child.

Indicates the birth year and month of an individual's third child.

Indicates the birth year and month of an individual's fourth child.

Indicates the precision level of a person's birthday day.

Indicates whether the birthday month is linked to a specific individual or generalized for a household.

Ranks an individual's likelihood to shop at BJ's Wholesale, modeled based on whether the household shop at BJ's Wholesale at least monthly.

Ranks an individual's likelihood to own a boat, modeled based on whether the household own a motor boat including a fishing boat or pontoon, sailboat, and/or rowboat.

Indicates whether someone in the household has an interest in boating and sailing.

Indicates whether someone in the household has an interest in books or magazines. Covers a wide range of topics including cooking, interior decorating, general reading, sports, medical and health, fashion, entertainment, world news, children's books, best-selling fiction, military, country lifestyle, and romance.

Ranks an individual's likelihood to read books, modeled based on whether the household read one or more books in a month.

Indicates an individual's books engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active books champion (top 20% spending with most recent activity in past 0-6 months) to Dormant books minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the books category.

Indicates how recently an individual purchased a book, based on the recency of purchase in the Books category.

Ranks an individual into five tiers based on the average dollars spent on the Books category.

Ranks an individual's likelihood to be brand driven when purchasing home cleaners, modeled based on whether the person considers brand to be important when deciding what home cleaning products to buy.

Ranks an individual's likelihood to choose products based on brand over price, including a preference for purchasing favorite brands and unwillingness to try alternatives or buy based on sales.

Ranks an individual's likelihood to choose a product based on brand over price, modeled based on whether the household is likely to buy products based on brand, considers brand the most important factor, and does not plan purchases based on what is on sale.

Ranks an individual's likelihood to be brand motivated when purchasing laundry products, modeled based on whether the person considers brand to be very important when buying laundry products.

Ranks an individual's likelihood to be brand motivated when purchasing personal care products, modeled based on whether the person considers brand to be very important when buying personal care products.

Ranks an individual's likelihood to prefer branded prescriptions, modeled based on whether any household members use prescription medication regularly or when needed, and usually get brand name prescription medication.

Ranks an individual's likelihood to dine out frequently for breakfast, modeled based on whether household members purchase breakfast from a restaurant (either for dining in, takeout or drive through) 3 or more times per week.

Ranks an individual's likelihood to switch breakfast meat brands, modeled based on whether household members eat bacon or breakfast sausages at least weekly, and usually buy different brands, and are very willing to try different brands.

Ranks an individual's likelihood to plan their meal with budget in mind, modeled based on whether the person considers price to be very important when buying food and almost always uses recipes with a low cost per portion.

Counts the number of Buick vehicles in a household.

Counts the total number of buildings on the property parcel.

Ranks an individual's likelihood to be a burger diner, modeled based on whether the household members purchase food from a fast-food restaurant at least once a month and always or almost always purchase a burger.

Indicates whether someone in the household has an interest in purchasing burial insurance.

Ranks an individual's likelihood to have or plan to get burial insurance, modeled based on whether the household plan to get burial insurance in the next 12 months.

Ranks an individual's likelihood to commute by bus, modeled based on whether the person uses a bus or streetcar on a regular basis to get to work or school or to run errands.

Indicates how recently an individual made a purchase in the B2B Business Marketing category.

Indicates whether someone in the household has an interest in business travel.

Ranks an individual's likelihood to travel for business at least 11 days per year, modeled based on whether any household members travel for business.

Ranks an individual's likelihood to buy now and pay later, modeled based on whether the household used a buy now, pay later installment payment option three or more times in the last 12 months.

Ranks an individual's likelihood to buy online and pick up in store, modeled based on whether the household make online purchases at least once per month, and are online purchases much more likely to be picked up at a store.

Ranks an individual's likelihood to buy a product online and return it in a store, modeled based on whether the household make one or more online purchases per month, and if the individual return products purchased online, do the individual always or regularly return them to a store.

Ranks an individual's likelihood to bundle cable, internet, and phone services, modeled based on whether the household has cable TV, home internet, home phone, and cellular phone services from the same provider.

Ranks an individual's likelihood to switch cable services, modeled based on whether the household moved and changed cable/satellite providers in the last 12 months or is likely to move and change providers in the next 12 months.

Ranks an individual's likelihood to have premium cable or satellite channel service, modeled based on whether the household accesses movies or shows through paid premium channels five or more times in a typical week.

Ranks an individual's likelihood to subscribe to a cable or pay television service, including traditional cable TV and premium channel packages such as HBO, Showtime, and sports networks.

Ranks an individual's likelihood to use calming apps, modeled based on whether the household members use meditation or mindfulness apps once per month or more often.

Ranks an individual's likelihood to travel to cruise Canada, modeled based on whether the person or a household member has taken, or is likely to take, a Canadian cruise in the next two years.

Indicates whether someone in the household has an interest in cancer-related causes.

Ranks an individual's likelihood to purchase canned soup, modeled based on whether the household purchase canned soup weekly.

Counts the number of cars in an individual's household.

Ranks an individual's likelihood to be a low-carb diet diner, modeled based on whether the individual follow a low-carb eating style every day or almost every day.

Indicates whether someone in the household has an interest in career advancement courses.

Ranks an individual's likelihood to change careers, modeled based on whether the person currently works full time and has changed careers four or more times during their adult life.

Ranks an individual's likelihood to be a caregiver, modeled based on whether the person or a member of their household is a caregiver for someone who is disabled, ill, or elderly.

Ranks an individual's likelihood to travel to the Caribbean, modeled based on whether any household members traveled to a Caribbean country in the last five years, or definitely or very likely will in the next five years.

Ranks an individual's likelihood to frequent carry out restaurants three or more times weekly, modeled based on whether household members order food for takeout one or more times per week.

Counts the number of cars in a household, summing small, midsize, and full-size cars.

Ranks an individual's likelihood of being a carshare user.

Indicates whether an individual in the household has used cash, check, or money order to make a purchase.

Estimates a household's liquid financial resources, such as cash savings and readily accessible funds.

Ranks an individual's likelihood of visiting casual dining restaurants three or more times per week, modeled based on whether household members purchase food (dine-in, take-out, or delivery) from casual food restaurants eight or more times per month.

Indicates whether someone in the household has an interest in owning a cat.

Ranks households into five tiers based on how much they purchase from catalogs versus other channels like retail and online.

Ranks an individual's likelihood to have catering orders delivered, modeled based on whether the person has ordered catered food online and had it delivered in the last 12 months.

Ranks an individual's likelihood to pick up catering orders, modeled based on whether the person has ordered catered food online 2+ times in the last 12 months and picked it up.

Ranks an individual's likelihood to switch to Consumer Cellular, modeled based on whether the household currently uses a provider other than Consumer Cellular and would likely consider switching to Consumer Cellular for mobile phone service.

Ranks an individual's likelihood to have certificates of deposit, modeled based on whether the person or their household members obtained a certificate of deposit in the last two years or plan to get one in the next 12 months.

Ranks an individual's likelihood to purchase a certified pre-owned vehicle.

Ranks an individual's likelihood to purchase brands that partner for donations, modeled based on whether the household members have made donations at least three times in the last 12 months by buying products that donate for every purchase made.

Indicates whether someone in the household has an interest in donating to charitable causes.

Ranks an individual's likelihood of opening a checking account. Built using models that incorporate protected class data (e.g., age, gender), modeled based on whether household members currently have or plan to get in the next 12 months a checking account.

Ranks an individual's likelihood to choose chicken when dining out, modeled based on whether household members purchase food from a fast-food restaurant at least once per month and always or almost always choose chicken.

Indicates whether an individual is a new, first-time parent of a child between zero and two years old.

Indicates the presence of a child aged 16 or 17 in a household.

Indicates the presence and gender of a child aged 16 to 17 in a household.

Indicates the presence and gender of children aged 16 to 17 in a household.

Indicates the presence and gender of children aged 16 to 17 in a household.

Indicates the presence and gender of a child in a household between the ages of 16 and 17.

Indicates how recently an individual purchased products for children that encourage learning and development.

Ranks individuals into five tiers based on spending by families with young children on products that encourage children's learning and development.

Indicates whether a child is present in a household.

Counts the number of children an individual has, counting up to four. Each child's presence may be specifically stated in records or inferred from household relationship data.

Counts the number of children in a household.

Indicates an individual's children's products engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active children s champion (top 20% spending with most recent activity in past 0-6 months) to Dormant children s minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the children's category.

Ranks an individual's likelihood to donate to children's causes, modeled based on whether household members support children's causes.

Indicates whether someone in the household has an interest in children's books.

Indicates whether someone in the household has an interest in donating to children's causes.

Indicates how recently an individual purchased children's products such as apparel, toys, furniture, games, or educational materials.

Ranks an individual into five tiers based on spending on children's products including apparel, toys, furniture, games, and educational materials.

Ranks an individual's likelihood to be a Chinese dining enthusiast, modeled based on whether the household always or regularly selects Chinese food and purchases it four or more times per month.

Ranks an individual's likelihood to switch chocolate candy brands, modeled based on whether household members eat chocolate or candy at least weekly, and usually buy different brands, and are very willing to try different brands.

Ranks an individual's likelihood to purchase Christmas ornaments and collectibles, modeled based on whether the household collect Christmas items or ornaments.

Counts the number of vehicles manufactured by Chrysler in a household.

Ranks an individual's likelihood to be a cigar or pipe enthusiast, modeled based on whether the individual or household members smoke cigars or smoking tobacco daily or weekly.

Indicates whether someone in the household has an interest in cigar smoking.

Indicates whether someone in the household has an interest in classical music.

Ranks an individual's likelihood to dine at places with organic, natural, or health-conscious menus, modeled based on whether the individual follow a clean eating style every day or almost every day.

Ranks an individual's likelihood of switching household cleaning product brands, modeled based on whether the household usually buy different brands and are very willing to try different brands of household cleaning products.

Ranks an individual's likelihood to use Click to Cart programs and have groceries delivered, modeled based on whether the person has shopped for groceries online and had them delivered to their home in the last 12 months.

Ranks an individual's likelihood to use Click to Cart programs and Pick Up orders at grocery stores, modeled based on whether the person has shopped for groceries online and picked them up at the store in the last 12 months.

Ranks an individual's likelihood to switch Coca Cola brands, modeled based on whether the person regularly buys Coca Cola and is very willing to switch to another brand.

Ranks an individual's likelihood to switch coffee brands, modeled based on whether household members drink coffee made at home at least weekly, and usually purchase different brands, and are very willing to try different brands.

Ranks an individual's likelihood to be a coffee enthusiast, modeled based on whether the individual purchases coffee to go or drinks coffee at a coffee shop three or more times per month.

Ranks an individual's likelihood of switching cold cereal brands, modeled based on whether household members eat cold cereal at least every few days, and usually buy different brands, and are very willing to try different brands.

Indicates whether someone in the household has an interest in collectible dolls.

Indicates whether someone in the household has an interest in collectible dolls or figurines, based on self-reported, inferred, and observed purchase behavior.

Indicates whether someone in the household has an interest in collectibles, art, and antiques.

Indicates an individual's collectibles engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active collectibles champion (top 20% spending with most recent activity in past 0-6 months) to Dormant collectibles minimal (bottom 20% spending with oldest activity over 25 months ago). Based on average dollars spent in the collectibles category.

Indicates whether someone in the household has an interest in collectibles.

Indicates the recency of an individual's purchase in the collectibles category.

Ranks an individual into five tiers based on the average dollars spent on the Collectibles category.

Ranks an individual's likelihood to be a college football enthusiast, modeled based on whether household members watch college football on TV weekly or more often.

Indicates the date an individual became a college graduate.

Ranks an individual's likelihood to be a college student, modeled based on whether any household members are currently enrolled in college.

Ranks an individual's likelihood to be a community bank individual, modeled based on whether the individual use a community bank for the individual's personal financial transactions (for example day-to-day banking, checking, mortgages, loans etc.).

Indicates how recently an individual has donated to community-focused, national, or local causes.

Indicates an individual's community cause donor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active community cause donor champion (top 20% spending with most recent activity in past 0-6 months) to Dormant community cause donor minimal (bottom 20% spending with oldest activity over 25 months ago). Covers donors with a strong sense of community who support national causes with local relevance.

Ranks an individual into five tiers based on their donations to community-focused causes. These donors have a strong sense of community and are active with causes that are national yet local. They align with causes they can relate to and may have helped them in the past.

Ranks an individual's likelihood to own a commuter bike, modeled based on whether the household have a commuter bike.

Ranks an individual's likelihood to purchase a compact truck.

Indicates an individual's company name.

Counts the number of vehicles in a household from other automotive manufacturers.

Ranks an individual's likelihood to donate to conservative causes, modeled based on whether household members support conservative charitable causes.

Ranks an individual's likelihood to invest conservatively, modeled based on whether the person prefers low-risk investments, adjusts for market performance, has recently moved to more stable or fixed-rate investments, and prioritizes fixed return potential.

Indicates whether someone in the household has an interest in donating to conservative political causes.

Ranks an individual's likelihood to donate regularly to religious causes, modeled based on whether the household makes weekly donations to religious causes or churches and donates $1,000 or more in a typical year.

Indicates the construction quality rating of the property.

Indicates the manufacturer of the consumer's vehicle.

Ranks an individual's likelihood to use contactless payment methods, modeled based on whether the person has a smartphone and almost always uses mobile phone payment apps.

Ranks an individual's likelihood of preparing quick and easy meals, modeled based on whether the household is more likely to use pre-made or packaged ingredients, pre-washed lettuce, frozen vegetables, recipes that use only a few basic ingredients, and recipes that require as little time in the kitchen as possible.

Ranks an individual's likelihood to purchase personal care products based on convenience and ease of use, modeled based on whether the person considers convenience to be very important when deciding what personal care products to buy.

Ranks an individual's likelihood to consider convenience when making decisions on cleaning products, modeled based on whether the person considers convenience to be very important when deciding what personal care products to buy.

Counts the number of convertible vehicles in a household.

Indicates whether someone in the household has an interest in cooking and culinary books.

Indicates whether someone in the household has an interest in cooking.

Ranks an individual's likelihood of not having a cable or paid television subscription, modeled based on whether the household not use any of cable TV, satellite TV, fiber optic TV, and does use any of free streaming services, paid streaming subscription, antenna, IPTV, other free service, other paid service, for accessing shows and/or movies.

Identifies the Core-Based Statistical Area (CBSA) where an individual resides.

Ranks an individual's likelihood to donate via corporate partnerships, modeled based on whether the household members have made donations at least three times in the last 12 months through requests at work or corporate.

Ranks an individual's likelihood to shop at Costco, modeled based on whether the household shop at Costco at least monthly.

Ranks an individual's likelihood to switch brands of cough, cold, and flu remedies, modeled based on whether the household ever buy cough, cold or flu remedies, and usually buy different brands and are very willing to try different brands.

Counts the number of active sources that have verified a household.

Indicates whether someone in the household has an interest in country lifestyle books.

Ranks an individual's likelihood to listen to country music for entertainment, modeled based on whether the individual enjoy country music.

Indicates whether someone in the household has an interest in country music.

Indicates the FIPS code for the county or political jurisdiction of a given address. The first two digits represent the state code and the last three represent the county code.

Counts the number of coupe (2-door) vehicles in a household, ranging from 0 to 6.

Ranks an individual's likelihood to consume craft beer, modeled based on whether household members drink beer at least weekly and regularly choose craft beer.

Ranks an individual's likelihood to purchase items on craigslist, modeled based on whether the household members have purchased from Craig's List in the last 12 months.

Ranks an individual's likelihood to sell items on craigslist, modeled based on whether the household has sold at least one item on Craig's List in the last 12 months.

Ranks an individual's likelihood of applying for a credit card. Built using models that incorporate protected class data (e.g., age, gender), modeled based on whether household members currently have or plan to get in the next 12 months a card.

Ranks an individual's likelihood to pay off credit cards or carry a zero balance, modeled based on whether the individual has closed an unused credit card account in the past 12 months.

Ranks an individual's likelihood to use a credit card to pay balances due on another credit card, modeled based on whether the person has accepted an offer to transfer a balance to a new credit card in the last 12 months.

Indicates the date of the most recent change to an individual's credit card account.

Counts the number of credit cards held by an individual.

Indicates whether the individual made a purchase using a credit card.

Ranks an individual's likelihood to revolve credit balances, modeled based on whether the person typically pays the minimum balance due every month or whatever amount they can whenever they can.

Indicates the use of a standard or specialty credit card for a transaction by an individual within a household.

Indicates that a member of this household uses any credit card for transactions.

Indicates whether an individual used a credit or debit card for a transaction.

Indicates whether an individual is interested in financial services, such as banking, insurance, or installment loans.

Ranks an individual's likelihood of belonging to a credit union, modeled based on whether the individual use a credit union for the individual's personal financial transactions (for example day-to-day banking, checking, mortgages, loans etc.).

Counts the number of crossover utility vehicles in a household.

Indicates whether someone in the household has an interest in cruise ship vacations.

Indicates an individual's likelihood to take a cruise, from 1 (least likely) to 100 (most likely), based on modeled interest in cruising to destinations such as Alaska and Canada.

Ranks an individual's likelihood to own a cruiser bike, modeled based on whether the household have a cruiser bike.

Ranks an individual's likelihood to take cruises, modeled based on whether household members enjoy cruise ship travel.

Indicates whether someone in the household has an interest in cultural arts events.

Ranks an individual's likelihood to attend cultural arts events, modeled based on whether the household members attend museums, art galleries or live theatre two or more times in a typical year.

Indicates an individual's cultural and geographic magazine engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active cultural magazine fans champion (top 20% spending with most recent activity in past 0-6 months) to Dormant cultural magazine fans minimal (bottom 20% spending with oldest activity over 25 months ago). Covers subscribers to magazines focused on the culture and history of geographic regions.

Indicates the age range of the current head of household, based on declared, modeled, or observed data.

Indicates the precision level of the head of household's age.

Measures the loan-to-value ratio of the current installment loan, expressed as a percentage (e.g., 0.80 = 80% LTV).

Ranks an individual's likelihood to purchase a brand new, current model year vehicle.

Indicates whether someone in the household has an interest in cycling.

Indicates an individual's year of birth.

Ranks an individual into five tiers based on spending on home-delivered items such as catalogs, gift baskets, food items, and household supplies.

Ranks an individual's likelihood to use dealer service.

Ranks an individual's likelihood to regularly use a debit card, including being motivated by debit card rewards when choosing a checking account.

Ranks an individual's likelihood to donate large amounts to Democratic efforts, modeled based on whether the person is likely to make a donation of more than $250 to a political party or campaign in a typical year.

Ranks an individual's likelihood to vote for the Democratic party, modeled based on whether the individual is a registered, active voter and most likely to vote for the Democratic Party.

Ranks an individual's likelihood to purchase cosmetics from department stores, modeled based on whether the household always purchases cosmetics from a department store, either in person or online.

Ranks an individual's likelihood to purchase fragrance from department stores, modeled based on whether the household always purchases fragrances from a department store, either in person or online.

Ranks an individual's likelihood to choose their financial institution for deposit options, modeled based on whether the person considered deposit services, such as checking accounts or savings programs, important factors when choosing a bank or credit union.

Indicates the Nielsen Designated Market Area (DMA) code for the individual's location. DMAs are geographic regions defined by shared television and radio broadcast coverage. They help target campaigns by media market. Mapping codes to market names requires Nielsen's copyrighted crosswalk file.

Ranks an individual's likelihood to purchase cookies when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household always, almost always, or sometimes purchase cookies.

Ranks an individual's likelihood to purchase dessert when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household always, almost always, or sometimes purchase dessert other than ice cream, shake, or cookies.

Ranks an individual's likelihood to purchase ice cream when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household always or almost always purchase ice cream.

Ranks an individual's likelihood to purchase lemonade when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household always, almost always, or sometimes purchase lemonade.

Ranks an individual's likelihood to prefer a salad over fries when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household prefer salad over fries, and does the household always or almost always purchase salad.

Ranks an individual's likelihood to purchase a shake when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household always, almost always, or sometimes purchase a shake.

Ranks an individual's likelihood to purchase tea when dining out, modeled based on whether the household purchase food or beverages from restaurants (e.g. from fast food restaurants, casual dining, fine dining, or bars/clubs/lounges, including dining in, take out and delivery) at least four times per month, and does the household always or almost always purchase tea.

Ranks an individual's likelihood to dine out frequently for dinner, modeled based on whether household members purchase dinner from a restaurant three or more times per week.

Ranks an individual's likelihood to review media via postal mail, modeled based on whether the person considers newspapers, magazines, brochures, or flyers as a top preference for receiving information and enjoys viewing mail-based advertisements.

Ranks an individual's likelihood to purchase cosmetics directly from brands, modeled based on whether the household always or regularly purchases cosmetics online directly from the brand.

Ranks an individual's likelihood to purchase fragrances directly from brands, modeled based on whether the household always or regularly purchases fragrances online directly from the brand.

Ranks an individual's likelihood to attend discount movies, modeled based on whether the person watches movies at a discount movie theater three or more times per year.

Estimates a household's annual income remaining after taxes, shelter, food, clothing, transportation, utilities, and healthcare expenses.

Ranks an individual's likelihood to switch dishwasher detergent brands, modeled based on whether the household usually purchases and is willing to try different dishwasher detergent brands.

Indicates whether someone in the household has an interest in DIY home improvement.

Ranks an individual's likelihood to complete their own moderate to large home improvements, modeled based on whether the person would be more likely to do home repair or improvement jobs themselves or hire someone.

Counts the number of Dodge vehicles in a household.

Ranks an individual's likelihood to be a hot dog diner, modeled based on whether the household members purchase food from a fast-food restaurant at least once a month and always, almost always, or sometimes purchase a hot dog.

Indicates whether someone in the household has an interest in owning a dog.

Ranks an individual's likelihood to be a low dollar donor, modeled based on whether the household typically donates $1-$100 to charitable or social causes in a year.

Ranks an individual's likelihood to consume domestic beer, modeled based on whether household members drink beer at least weekly and regularly choose domestic brands.

Indicates whether someone in the household has an interest in domestic travel within the United States.

Ranks an individual's likelihood to buy a domestic vehicle.

Ranks an individual's likelihood to donate to cancer causes, modeled based on whether household members support cancer causes.

Ranks an individual's likelihood to use DoorDash, modeled based on whether the household use DoorDash at least every few months.

Indicates the type of structure for a household's primary residence building.

Ranks an individual's likelihood to purchase items off eBay, modeled based on whether the person or a household member has purchased from eBay in the last 12 months.

Ranks an individual's likelihood to be an eBay seller, modeled based on whether any household members sold at least one item on eBay in the last 12 months.

Ranks an individual's likelihood to purchase an economy car.

Ranks an individual's likelihood to purchase an economy sport utility vehicle.

Ranks an individual's likelihood to own an Education Savings Plan (a tax-advantaged account designed to help families save for future education costs, including college, K-12 tuition, and apprenticeship programs), modeled based on whether the household currently have an education savings plan.

Indicates the effective year a building was built, adjusted for major renovations or structural changes.

Ranks an individual's likelihood to be an electric bike enthusiast, modeled based on whether any household members have an electric bicycle or are considering one.

Ranks an individual's likelihood to prefer an electric vehicle over a hybrid vehicle.

Ranks an individual's likelihood to buy an electric vehicle.

Indicates whether someone in the household has an interest in electronics outside of mainstream consumer electronics, such as personal care electronics, medical devices, wearable tech, or specialty kitchen electronics.

Ranks an individual's likelihood to buy elite home furnishings, modeled based on whether the person has shopped for or is very likely to shop for furniture or decor at high-end retailers like Design Within Reach or Restoration Hardware.

Ranks an individual's likelihood to use health insurance benefits from their employer, modeled based on whether the household have health insurance provided through an employer.

Indicates the date an individual transitioned to an empty nester household.

Indicates that a life-stage event has occurred signaling an individual is now an empty nester.

Ranks an individual's likelihood to switch energy drink brands, modeled based on whether the household usually buy different brands and are very willing to try different brands of energy drinks.

Indicates whether someone in the household has an interest in books and entertainment.

Ranks an individual's likelihood to read entertainment, modeled based on whether household members read people or entertainment books or magazines.

Ranks an individual's likelihood of being a new entrepreneur, modeled based on whether any household members have their own small business (either full time or part time), that were started within the last two years, or are planning to start in the next 12 months.

Indicates an individual's environmental and animal welfare donor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active environmental and animal welfare donor champion (top 20% spending with most recent activity in past 0-6 months) to Dormant environmental and animal welfare donor minimal (bottom 20% spending with oldest activity over 25 months ago).

Ranks an individual into five tiers based on donation amount to environmental and animal causes.

Indicates how recently an individual donated to the environment and animals, based on the recency of donations in the environmental and animal category.

Indicates how recently an individual has been active in or donated to causes that help improve the planet, both nationally and within their local communities, reflecting a genuine care for the environment.

Ranks an individual into five tiers based on their donations to environmentally conscious causes. These individuals tend to genuinely care about the environment and are active with causes that help improve the planet, areas within the United States, and local communities.

Ranks an individual's likelihood to donate to environmental causes, modeled based on whether household members support environmental causes.

Indicates an individual's environmentally conscious engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active environmentally conscious champion (top 20% spending with most recent activity in past 0-6 months) to Dormant environmentally conscious minimal (bottom 20% spending with oldest activity over 25 months ago).Covers households that donate to and are active with environmental causes at the national and local level.

Ranks a household's likelihood to practice environmentally aware habits, modeled based on whether the individual consider yourself supportive concerning climate change, buying natural food, reducing pollution, purchase of electric cars and following sustainable environmental practices.

Measures the estimated square footage of a property's building area for property assessments and comparative analysis.

Represents an individual's estimated income.

Ranks an individual's likelihood of buying on Etsy, modeled based on whether the household has made one or more purchases on Etsy in the last 12 months.

Ranks an individual's likelihood to travel to Europe, modeled based on whether the household has traveled to a European country in the last five years or is definitely or very likely to in the next five years.

Ranks an individual's likelihood to be an everyday low price shopper, modeled based on whether the household is more likely to shop at a store that offers everyday low prices, considers lowest everyday prices very important, and goes to one location to get the best prices on most purchases.

Ranks an individual's likelihood to explore new recipes and meal ideas, modeled based on whether the person values the uniqueness of food products and frequently tries new recipes with unique ingredients.

Indicates the primary material and surface treatment of a building's outer walls.

Ranks an individual's likelihood to participate in P90X, CrossFit or other fitness programs, modeled based on whether the person or a household member participates in fitness programs like P90X, Insanity, CrossFit, or Bootcamp classes at least once per week.

Ranks an individual's likelihood to be socially active on Facebook, modeled based on whether the individual participates on Facebook 16 or more times per week and has more than 100 contacts on Facebook.

Indicates whether an individual uses Facebook, Instagram, X (formerly Twitter), or Pinterest.

Indicates whether someone in the household has an interest in using Facebook.

Ranks an individual's likelihood to purchase on Facebook Marketplace, modeled based on whether the household has made one or more purchases on Facebook Marketplace in the last 12 months.

Ranks an individual's likelihood to be a Facebook Marketplace seller, modeled based on whether the household has sold at least one item on Facebook Marketplace in the last 12 months.

Indicates an individual's faith and health donors engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active faith and health donors champion (top 20% spending with most recent activity in past 0-6 months) to Dormant faith and health donors minimal (bottom 20% spending with oldest activity over 25 months ago). Covers donations to faith-driven and medical research organizations.

Ranks an individual into five tiers based on donation amount to faith-driven and medical research organizations.

Indicates how recently an individual donated to faith-driven and medical research organizations.

Ranks an individual's likelihood to read faith-based books or magazines, modeled based on whether household members read Bible or devotional books or magazines.

Ranks an individual into five tiers based on donation amount to faith-based causes.

Indicates whether someone in the household has an interest in donating to faith-based causes.

Indicates an individual's faith based donor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active faith based donor champion (top 20% spending with most recent activity in past 0-6 months) to Dormant faith based donor minimal (bottom 20% spending with oldest activity over 25 months ago). Covers households with strong spiritual beliefs who donate to faith-driven causes.

Ranks an individual's likelihood to have an interest in faith-based media, including reading religious materials, listening to Christian or gospel music, and general faith-based interests.

Ranks an individual's likelihood to listen to spiritual music, modeled based on whether household members enjoy Christian or Gospel music.

Indicates whether someone in the household has an interest in faith-based music.

Indicates how recently an individual has donated to faith-based causes, modeled based on households who have strong spiritual beliefs and believe that faith can improve the lives of those in need.

Indicates whether someone in the household has an interest in faith-based topics.

Ranks an individual into five tiers based on the proportion of purchases made during the fall season (September through November).

Indicates the family composition of a household, including marital status and the presence of children.

Indicates an individual's family learning and development engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active family learning and development champion (top 20% spending with most recent activity in past 0-6 months) to Dormant family learning and development minimal (bottom 20% spending with oldest activity over 25 months ago).

Ranks an individual's likelihood to participate in fantasy sports.

Indicates an individual's fashion accessories and beauty engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active fashion accessories and beauty champion (top 20% spending with most recent activity in past 0-6 months) to Dormant fashion accessories and beauty minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual made a purchase in the Fashion Accessories and Beauty category.

Ranks an individual into five tiers based on the average dollars spent on the fashion accessories and beauty category.

Indicates whether someone in the household has an interest in books and fashion.

Indicates an individual's female and male apparel engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active female and male apparel champion (top 20% spending with most recent activity in past 0-6 months) to Dormant female and male apparel minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased an item in the female and male apparel category.

Ranks an individual into five tiers based on spending in the female and male apparel category.

Ranks an individual into five tiers based on spending on name-brand, fashionable, and comfortable women's apparel via catalog.

Indicates an individual's female brand apparel catalog engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active female brand apparel catalog champion (top 20% spending with most recent activity in past 0-6 months) to Dormant female brand apparel catalog minimal (bottom 20% spending with oldest activity over 25 months ago). Covers mature female shoppers who favor name-brand, fashionable, yet comfortable clothing from catalog retailers.

Indicates an individual's female online value shopper engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active female online value shopper champion (top 20% spending with most recent activity in past 0-6 months) to Dormant female online value shopper minimal (bottom 20% spending with oldest activity over 25 months ago).

Estimates the female population of the zipcode.

Indicates whether someone in the household has an interest in figurine collecting.

Represents the final sale price of the property as listed on the recorded deed.

Ranks an individual's likelihood to use the services of a financial advisor, modeled based on whether the household currently use a personal financial advisor.

Ranks consumer likelihood to subscribe to financial newsletters, modeled based on whether any household members subscribe to any paid newsletter(s) received by mail or online, and the topics are financial or health.

Ranks an individual's likelihood to choose their financial institution because of convenience reasons, modeled based on whether the person considers convenience factors like hours of operation and branch locations important when deciding which financial institution to use.

Ranks an individual's likelihood to switch financial institutions in less than one year, modeled based on whether the person is interested in other options or looking around for other options regarding their current primary financial institution.

Ranks an individual's likelihood to dine at fine dining restaurants, modeled based on whether household members purchase food from fine dining restaurants four or more times per month.

Counts the number of fireplace openings within the building.

Indicates the type of fireplace present at the property.

Indicates whether someone in the household has an interest in fishing.

Ranks an individual's likelihood to purchase fitness equipment, modeled based on whether the household have any fitness equipment for exercising at home, and spent at least $100 on home fitness equipment in the last year.

Indicates whether someone in the household has an interest in fitness and exercise.

Ranks an individual's likelihood to purchase flavored drinks, modeled based on whether household members drink flavored juices (e.g. Fruitopia, Hawaiian Punch, Kool-Aid, Sunny-D, Tang) daily.

Ranks an individual's likelihood to hold flood insurance, modeled based on whether the individual own the home, and does the household purchase flood insurance.

Indicates the type of floor construction of the property.

Indicates the number of stories for the property.

Ranks an individual's likelihood to purchase fragrances with floral notes, modeled based on whether the household is very likely to purchase floral (e.g., flowery, fruity) types of fragrances.

Ranks an individual's likelihood to use Postmates for food delivery, modeled based on whether the household has ever ordered delivery through Postmates.

Ranks an individual's likelihood to purchase from food trucks, modeled based on whether the person or their household members have purchased food from a food truck in the last 12 months or typically purchase food from a food truck three or more times in a year.

Ranks an individual's likelihood to be a football entertainer, modeled based on whether the household has friends or family over to watch professional or college football on television at least every few weeks and spends $100 or more on food and beverages for a day of games.

Ranks an individual's likelihood to follow football, modeled based on whether household members watch college or pro football on TV weekly or more often.

Counts the number of vehicles manufactured by Ford in a household.

Ranks an individual's likelihood to use free streaming services.

Ranks an individual's likelihood to use a debit or ATM card 16 or more times per month, modeled based on whether the person used their debit or ATM card for purchases at least 21 times in the past month.

Ranks an individual's likelihood to make purchases via a mobile phone, modeled based on whether the individual use the individual's mobile/cellular phone to make purchases monthly or more often, and have the individual used the individual's mobile/cellular phone to make three or more purchases in the last six months.

Ranks an individual's likelihood to attend movies frequently, modeled based on whether any household members go to a movie theater every two to three weeks or more often.

Ranks an individual's likelihood to access movies online, modeled based on whether the household accesses movies at least three or more times per week via a free streaming service.

Ranks an individual's likelihood of purchasing music online, modeled based on whether the individual frequently listen to music purchased online, either via download or subscription service.

Ranks an individual's likelihood to frequently order takeout food, modeled based on whether the individual orders food for delivery or pick-up at least three times per month and buys versus makes at least half their meals.

Ranks an individual's likelihood to have fresh food delivered, modeled based on whether household members order perishable groceries (e.g., fruit, vegetables, meat, fish) online for home delivery once a month or more frequently.

Ranks an individual's likelihood to have fresh food delivered, modeled based on whether the household is more likely to use fresh vegetables, consider fresh to be much better than frozen, use recipes that use only fresh ingredients and decide what produce to buy based on what is in season.

Ranks an individual's likelihood to purchase fragrances with fresh notes, modeled based on whether the household is very likely to purchase fresh (e.g., clean, crisp) types of fragrances.

Ranks an individual's likelihood to be fried chicken sandwich diners, modeled based on whether the household members purchase food from a fast-food restaurant at least one time per month and always or almost always purchase a fried chicken sandwich.

Ranks an individual's likelihood to be a fried fish diner, modeled based on whether household members purchase food from a fast-food restaurant at least once a month and always or almost always purchase a fried chicken sandwich.

Ranks an individual's likelihood to have fresh food delivered, modeled based on whether household members use frozen meals (e.g., frozen pizzas, frozen entrees) at least weekly, and usually buy different brands, and are very willing to try different brands.

Ranks an individual's likelihood to drink fruit alcoholic beverages, modeled based on whether household members drink fruit flavored alcoholic beverages at least one day a week.

Counts the number of full-size cars in a household.

Ranks an individual's likelihood to purchase a full-size luxury truck.

Ranks an individual's likelihood to purchase a full size sport utility vehicle.

Counts the number of full-size trucks in a household.

Ranks an individual's likelihood to buy a full-size truck.

Indicates whether an individual uses a furniture store credit card.

Ranks an individual's likelihood to be a future investor, modeled based on whether the household recently performed for the first time, or plans to perform for the first time in the next 12 months, various financial activities such as opening a savings account, buying stocks, or making other types of investments.

Indicates whether the property's garage or carport is finished or unfinished.

Indicates the primary construction material of the property's garage or carport (e.g., brick, frame, masonry, wood, concrete, metal, stone).

Indicates the structural type of the property's garage or carport (e.g., attached, detached, basement, built-in, carport).

Indicates the vehicle capacity of the property's garage or carport, measured in number of cars (1 through 10).

Indicates an individual's garden and backyard engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active garden and backyard champion (top 20% spending with most recent activity in past 0-6 months) to Dormant garden and backyard minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased an item in the garden and backyard category.

Ranks individuals into five tiers based on the average dollars spent in the garden and backyard category.

Indicates whether someone in the household has an interest in gardening.

Ranks an individual's likelihood to consume gas energy, modeled based on whether the person uses only gas for heating their home and for the water heater.

Indicates the individual's gender.

Indicates the gender of an individual's first child.

Indicates the gender of an individual's second child.

Indicates the gender of an individual's third child.

Indicates the gender of an individual's fourth child.

Indicates whether someone in the household has an interest in reading books.

Indicates an individual's general gifts engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active general gifts champion (top 20% spending with most recent activity in past 0-6 months) to Dormant general gifts minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased general gifts.

Ranks individuals into five tiers based on total spending on general gifts.

Counts the number of vehicles manufactured by General Motors within a household.

Indicates whether someone in the household has an interest in travel.

Indicates the precision level of the assigned geographic coordinates, from address-level (rooftop) to area-level.

Indicates how recently an individual purchased items across any gift category, covering general gifts, practical and technology-focused gifts, unique personalized gifts for loved ones, B2B office and corporate gifts, specialty foods and gifts, and modern or contemporary decor gifts.

Indicates an individual's tech and gift shopper engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active tech and gift shopper champion (top 20% spending with most recent activity in past 0-6 months) to Dormant tech and gift shopper minimal (bottom 20% spending with oldest activity over 25 months ago). Covers households that enjoy treating themselves and others with practical, beneficial gifts, including the latest technology.

Ranks individuals into five tiers based on their strongest gift spending signal across gift categories, including general gifts, practical and technology-focused gifts, unique personalized gifts for loved ones, B2B office and corporate gifts, specialty foods and gifts, and modern or contemporary decor gifts.

Ranks an individual's likelihood to be gig employed, modeled based on whether any household members are a gig driver, delivering food, groceries, beverages, or people.

Ranks an individual's likelihood of being a gluten-free diner, modeled based on whether the individual follow a gluten free eating style every day or almost every day.

Counts the number of vehicles made by GMC within a household.

Ranks an individual's likelihood to donate via GoFundMe, modeled based on whether the household made donations at least one time through GoFundMe or other crowdfunding websites in the last 12 months.

Indicates whether someone in the household has an interest in golf.

Indicates whether someone in the household has an interest in gourmet food.

Ranks an individual's likelihood to be a graduate school student, modeled based on whether any household members are currently enrolled in graduate school.

Indicates whether someone in the household has an interest in spending on grandchildren.

Ranks an individual's likelihood to dine at Greek or Middle Eastern restaurants, modeled based on whether the household always, regularly, or occasionally selects Greek or Middle Eastern food when purchasing food.

Ranks an individual's likelihood to purchase or seek products that are non-toxic, energy and water-efficient, modeled based on whether the individual purchase “green” products.

Ranks an individual's likelihood to purchase grilled chicken sandwiches, modeled based on whether the person always or almost always purchases a grilled chicken sandwich from a fast-food restaurant at least once a month.

Ranks an individual's likelihood to use three or more grocery store loyalty or rewards cards, modeled based on whether the individual use 3+ grocery store loyalty/rewards cards regularly.

Ranks an individual's likelihood to use grocery apps when they shop, modeled based on whether the household has grocery apps on their mobile phones and uses them weekly for at least four specific shopping activities.

Ranks an individual's likelihood to shop frequently at grocery stores, modeled based on whether household members shop in person at a grocery store every few days or more often.

Ranks an individual's likelihood to use the Grubhub food delivery service, modeled based on whether the household use Grubhub at least every few months.

Ranks an individual's likelihood to belong to a gym, modeled based on whether the person or household members have an active gym membership.

Ranks an individual's likelihood to purchase blonde hair color, modeled based on whether any household members color their hair only at home, and typically color it blonde, at least every three to four months.

Ranks an individual's likelihood to purchase brown hair color, modeled based on whether any household members color their hair only at home, and typically color it brown, at least every three to four months.

Ranks an individual's likelihood to regularly color their hair at home, including specific color preferences such as blonde, brown, or red.

Ranks an individual's likelihood to purchase red hair color, modeled based on whether any household members color their hair only at home, and typically color it red, at least every three to four months.

Ranks an individual's likelihood to consume hard cider, modeled based on whether household members drink hard cider at least every few weeks.

Ranks an individual's likelihood to drink hard lemonade, modeled based on whether household members drink hard lemonade at least every few weeks.

Ranks an individual's likelihood to consume hard seltzer, modeled based on whether household members drink hard seltzers (sparkling water with alcohol) at least one day a week.

Ranks an individual's likelihood to drink hard tea, modeled based on whether household members drink hard tea at least every few weeks.

Indicates if a household is part of a lifecycle segment containing adults born between 1981 and 1990.

Indicates whether a household contains adults born between 1991 and 2002.

Indicates whether an individual has an auto loan.

Indicates whether an individual is active with banking, credit, or other financial services.

Indicates whether an individual made a club or subscription purchase within the last 24 months.

Indicates the presence of a student loan or other credit used for educational purposes.

Indicates whether an individual has a financial services installment loan.

Indicates whether an individual has a home equity loan. A home equity loan allows borrowing a lump sum against home equity, repaid monthly at a fixed interest rate.

Indicates whether the individual has a home mortgage.

Indicates whether an individual has a Visa, Mastercard, or American Express credit card.

Indicates whether a household is composed of a husband and wife with children present.

Indicates whether an individual uses a credit card affiliated with a warehouse club (e.g., Costco, Sam's Club).

Indicates whether a household contains an adult from the Millennial generation.

Indicates that an individual in a household has activity related to other credit, financial services, or insurance.

Indicates whether a household contains adults born between 1981 and 2002 with their own children present.

Indicates whether an individual has refinanced an installment loan.

Indicates whether an individual has a store-branded or specialty credit card, covering categories such as department stores, grocery, travel and entertainment, electronics, sporting goods, furniture, home improvement, apparel, and warehouse clubs.

Indicates if a household contains unmarried adults born between 1981 and 2002.

Indicates whether an individual has used a catalog showroom credit card. A catalog showroom credit card is a type of store-specific credit used at retailers that display goods in a showroom for customers to select from a catalog.

Indicates whether an individual has used a credit card issued by a finance company (non-bank lender that provides credit cards, personal loans, or auto financing).

Indicates if an individual has used an oil or gas credit card for a transaction.

Indicates whether an individual uses credit or leasing services other than auto loans, home mortgages, installment loans, or standard credit cards.

Counts the number of hatchback vehicles in a household.

Indicates how recently an individual's household purchased health and wellness products, identifying households actively purchasing products to improve their health and wellness.

Ranks an individual into five tiers based on their health and wellness product expenditures. These individuals are actively purchasing products to improve their health and wellness.

Indicates an individual's health for life donors engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active health for life donors champion (top 20% spending with most recent activity in past 0-6 months) to Dormant health for life donors minimal (bottom 20% spending with oldest activity over 25 months ago). Covers donors who support medical causes for ailments affecting any age or life stage.

Ranks an individual's likelihood to have health insurance through a labor union, modeled based on whether any household members have health insurance through a labor union.

Ranks an individual's likelihood of purchasing healthy cereals, modeled based on whether the household purchase cereal with health benefits (e.g., high protein, vitamin enriched, whole grain) weekly.

Ranks an individual's likelihood to follow a healthy diet, modeled based on whether household members are interested in diet and weight loss and buy diet or low-calorie foods weekly or more.

Ranks an individual's likelihood to be a heavy cleaner, modeled based on whether cleaning products are used daily in the home.

Ranks an individual's likelihood to actively use and redeem coupons, modeled based on whether the household has redeemed 11 or more coupons in the last month, and does the household use coupons at least once per week.

Ranks an individual's likelihood to purchase many fiber-focused foods, modeled based on whether household members always or almost always buy high-fiber foods.

Ranks an individual's likelihood to frequently purchase gluten-free foods, modeled based on whether household members always or almost always buy gluten-free foods.

Ranks an individual's likelihood to buy many low-fat foods, modeled based on whether household members always or almost always buy low-fat foods.

Ranks an individual's likelihood to donate over $500 annually to religious causes, modeled based on whether the household donates $500 or more in a typical year to religious charitable causes.

Ranks an individual's likelihood to donate over $500 annually to non-religious causes, modeled based on whether the household donates $500 or more in a typical year to all other (non-religious) charitable causes.

Indicates an individual's high end formal and casual apparel engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active high end formal and casual apparel champion (top 20% spending with most recent activity in past 0-6 months) to Dormant high end formal and casual apparel minimal (bottom 20% spending with oldest activity over 25 months ago).

Ranks an individual's likelihood to purchase high-end mattresses, modeled based on whether the household plan to purchase a new mattress in the next 12 months, and if it were purchased today, would it be more than $1,000.

Ranks an individual's likelihood to shop in high-end stores, modeled based on whether the person wears brand-name clothing, values trendy styles, or shops at high-end stores.

Indicates how recently an individual purchased high-price men's or women's formal and casualwear.

Ranks an individual into five tiers based on spending on high-price men's and women's formal and casual apparel.

Indicates an individual's high price female apparel accessories engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active high price female apparel accessories champion (top 20% spending with most recent activity in past 0-6 months) to Dormant high price female apparel accessories minimal (bottom 20% spending with oldest activity over 25 months ago). Covers purchases in the high-ticket female apparel and accessories category, where the 12-month average spend is $150 or more.

Ranks an individual into five tiers based on spending on high-price female apparel and accessories.

Indicates how recently an individual purchased high price female apparel or accessories.

Indicates an individual's high price home decor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active high price home decor champion (top 20% spending with most recent activity in past 0-6 months) to Dormant high price home decor minimal (bottom 20% spending with oldest activity over 25 months ago). Covers purchases in the high-ticket home decor category, where the 12-month average spend is $175 or more.

Indicates how recently an individual purchased an item in the High price Home Décor category.

Ranks an individual into five tiers based on an average 12 month spend of $175 or more on high ticket home decor.

Indicates whether someone in the household has an interest in hobbies and crafts.

Indicates whether someone in the household has any reported hobby. This is a composite flag covering hobbies (e.g., baking, gardening, photography), sports (e.g., golf, fishing, cycling), travel (e.g., cruise, international, RV), music preferences, mail order activity, media and technology usage, investments and insurance, nutrition, pets, and other interests.

Indicates whether someone in the household has an interest in hobby indicator.

Indicates how recently an individual purchased items across hobby-related spending categories, including indoor media and collecting (music, magazines, coins, investments) and traditional domestic hobbies (needlework, crafts, baking, puzzles).

Ranks individuals into five tiers based on their average quintile score across hobby-related spending categories, including indoor media and collecting (music, magazines, coins, investments) and traditional domestic hobbies (needlework, crafts, baking, puzzles).

Ranks an individual's likelihood to be interested in watching hockey for entertainment, modeled based on whether the individual or household members watch hockey at least every few weeks.

Indicates how recently an individual purchased items reflecting the latest trends in home decor and fashion.

Ranks individuals into five tiers based on spending on the latest trends in home decor and fashion.

Indicates an individual's likelihood to buy a house, condo, or apartment in the next 12 months.

Indicates an individual's likelihood to buy a home or obtain a home loan in the next 12 months, covering plans to purchase a house, condo, or apartment as well as plans to obtain a new home mortgage.

Ranks an individual's likelihood to seek out new cleaning products for their home, modeled based on whether the person has tried at least 3 new home cleaning products in the last 6 months, is willing to try new ones, and is usually one of the first to try them.

Indicates an individual's home decor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active home decor champion (top 20% spending with most recent activity in past 0-6 months) to Dormant home decor minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates the time elapsed since an individual last purchased home decor.

Ranks an individual into five tiers based on the average amount spent in the home decor category.

Indicates how recently an individual showed a preference for the convenience of home delivery for goods such as food, magazines, books, home decor, or apparel, specifically within the daily delivery deal category.

Indicates an individual's home delivery shopping engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active home delivery shopper champion (top 20% spending with most recent activity in past 0-6 months) to Dormant home delivery shopper minimal (bottom 20% spending with oldest activity over 25 months ago). Covers individuals who enjoy the convenience of having food, magazines, books, home decor, and apparel delivered to their home.

Ranks an individual's likelihood to entertain at home, modeled based on whether the person frequently has friends or family over, enjoys hosting for the holidays, and regularly receives visitors.

Indicates an individual's likelihood to obtain a home mortgage in the next 12 months.

Ranks an individual's likelihood to have a home gym, modeled based on whether the household have at least one aerobic machine (treadmill, stationary bicycle or bike trainers, elliptical trainer, stair-stepper, rowing machine) and at least one strength machine (free weights for workouts at home, e.g., dumbbells; weight machine for home workouts; other large fitness equipment, e.g., specialty machines; other small fitness equipment, e.g., bands).

Ranks consumer spending into five tiers for products and services associated with home maintenance and hunting, modeled based on households with interests in both DIY repairs and hunting.

Indicates the date of a change in an individual's home market value.

Indicates whether an individual has made a purchase with a credit card at a home or office supply store.

Indicates whether a home office or small office is present at an individual's address.

Indicates the homeownership status of a household as either owner or renter.

Ranks an owned household's likelihood to move in the next 2-4 months.

Indicates a household's likelihood to owning rather than renting home

Ranks an individual's likelihood to do home remodeling projects, modeled based on whether the household plans any room renovations in the next 12 months.

Indicates how recently a household has planned or engaged in home renovation, including purchasing tools, supplies, and decor for updating their home.

Ranks an individual into five tiers based on home renovation spend amount. They are household members who are planning to or are currently renovating or updating their home. They are purchasing the supplies and tools needed to do so, and buying decor for once it is complete.

Indicates the sale date of a property. The day value (01) is a placeholder; only the year and month are meaningful.

Ranks an individual's likelihood to purchase a home security system, modeled based on whether the household plans to purchase a monitored home security system in the next 12 months.

Ranks an individual's likelihood to frequently shop on the Home Shopping Network, modeled based on whether household members watch the Home Shopping Network (HSN) weekly or more frequently, and made 2 or more purchases in the last 12 months.

Indicates the structural style of an individual's property (e.g., Colonial, Ranch, Victorian, Cape Cod).

Indicates whether someone in the household has an interest in home study courses.

Estimates an individual's total home market value in dollars, based on tax records, assessor data, and modeled estimates that incorporate demographic, geographic, and property characteristics.

Ranks an individual's likelihood to purchase a home warranty in the next 12 months, modeled based on whether the individual have a home warranty plan.

Indicates the year when the property was built.

Indicates whether a property owner has qualified for a homeowner or homestead exemption. This is a tax benefit that reduces the taxable value of a primary residence.

Counts the number of Honda vehicles in a household.

Ranks an individual's likelihood to belong to one or more hotel member programs, modeled based on whether the person traveled more than one day for personal reasons, belongs to a hotel loyalty or rewards program, and booked a hotel at least once in the last two years.

Indicates the education level of a household.

Indicates the source granularity for a household's education level.

Counts the number of generations living within a household.

Estimates a household's annual income based on modeled narrow-band and broad-band income ranges.

Indicates the type of information used to assign a household's income range.

Counts the total number of lifestyles present in a household.

Indicates the marital status composition of adults within a household.

Indicates the marital status composition of a household (e.g., At least 1 married, At least 1 single, Both married and single).

Indicates whether a household member is approaching driving age.

Identifies the political party affiliation or affiliations within a household.

Counts the number of persons in a household.

Indicates the source type for a household size data.

The housing density at an address

Ranks an individual into five tiers based on the average dollar amount of donations made to humanitarian and cultural causes.

Indicates how recently an individual's household has supported humanitarian efforts and veteran causes.

Ranks an individual into five tiers based on a household's relative donation amount to humanitarian and veteran support causes.

Indicates an individual's humanitarian and veteran supporters engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active humanitarian and veteran supporters champion (top 20% spending with most recent activity in past 0-6 months) to Dormant humanitarian and veteran supporters minimal (bottom 20% spending with oldest activity over 25 months ago). Covers households actively supporting humanitarian efforts and helping improve the lives of veterans.

Indicates an individual's humanitarian donors engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active humanitarian donors champion (top 20% spending with most recent activity in past 0-6 months) to Dormant humanitarian donors minimal (bottom 20% spending with oldest activity over 25 months ago). Covers donors to national and local humanitarian causes within the United States.

Indicates whether someone in the household has an interest in donating to humanitarian causes.

Indicates whether someone in the household has an interest in hunting or shooting, including big game hunting and general hunting/shooting activities.

Indicates whether someone in the household has an interest in hunting and shooting.

Ranks an individual's likelihood to purchase a hybrid vehicle.

Ranks an individual's likelihood to be a hybrid work seeker, modeled based on whether the person would request a hybrid work setup if given the choice.

Ranks an individual's likelihood to have purchased an identity theft protection plan, modeled based on whether any household members currently use paid credit monitoring or paid identity theft protection services or paid identity theft insurance.

Ranks an individual's likelihood to consume import beer, modeled based on whether household members regularly drink imported beer, and consume imported beer most often.

Ranks an individual's likelihood to buy an import vehicle.

Represents the assessed market value of a property's improvements for tax purposes.

Ranks an individual's likelihood to purchase off list items during in-store shopping, modeled based on whether the person generally makes 50% or more of their household product purchases on an unplanned basis.

Indicates the date a change in an individual's income occurred.

Indicates a recently detected change in consumer income.

Measures how a household's estimated income compares to the average income for its county, expressed as the percentage above or below the county average. For example, a value of 25 means a household's income is 25% above average.

Indicates more details on how is a household income attribue derived

Indicates the annual income for a household.

Indicates the type of information used to assign a household's income range.

Ranks an individual's likelihood to vote based on specific issues rather than party affiliation, modeled based on whether the individual usually vote for parties based on the topics they are campaigning about and the topics/issues being represented.

Indicates whether an individual within a household has credit activity.

Estimates whether the individual is married or single, based on declared and derived household data including newly married records.

Indicates an individual's marital status as married or single. A household marital status describes the marital composition of everyone at the address (e.g., at least 1 married), while this attribute describes that specific person's own status. They can diverge when, say, a single adult child lives with married parents.

Indicates the quality of an individual's record for direct mail or telephone marketing.

Indicates an individual's title or form of address (e.g., Mr, Ms).

Indicates how recently an individual purchased items for indoor media and collecting categories, including music, radio, magazines, books, TV and movies, coins, antiques, and investments.

Ranks individuals into five tiers based on their spending on indoor media and collecting categories, including music, radio, magazines, books, TV and movies, coins, antiques, and investments.

Indicates an individual's indoor hobby catalog engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active indoor hobby catalog champion (top 20% spending with most recent activity in past 0-6 months) to Dormant indoor hobby catalog minimal (bottom 20% spending with oldest activity over 25 months ago). Covers individuals who shop catalogs for items related to music, reading, movies, collecting, and similar indoor interests.

Counts the number of Infinity brand vehicles in a household.

Ranks an individual's likelihood to be inflation indexed, modeled based on whether the person is concerned about inflation's impact on their cost of living, is buying more store brands, seeking ways to spend less, avoiding purchases due to economic concerns, and expects to tighten household spending.

Ranks an individual's likelihood to suffer from insomnia, modeled based on whether the individual has insomnia.

Indicates whether someone in the household has an interest in using Instagram.

Ranks an individual's likelihood to make purchases through Instagram, modeled based on whether the household has made one or more purchases on Instagram in the last 12 months.

Ranks an individual's likelihood to use Instagram, modeled based on whether the individual use Instagram 11 or more times per week.

Indicates the direction of a recent change in an individual's installment credit activity (e.g., new account opened or closed).

Indicates the origination year and month of an individual's installment home equity loan.

Ranks an individual's likelihood to purchase insurance for loans, modeled based on whether the person would be very likely to consider loan or payment protection if they were considering a new personal or auto loan today.

Indicates whether someone in the household has an interest in purchasing insurance.

Ranks an individual's likelihood to purchase pet insurance, modeled based on whether the household have pet insurance.

Ranks an individual's likelihood to switch insurance providers, modeled based on whether the household plan to obtain a new quote for home or vehicle insurance within the next six months.

Ranks an individual's likelihood to purchase 5G service, modeled based on whether the household is very likely to get 5G service on a mobile/cellular phone in the next 12 months.

Ranks an individual's likelihood to choose a financial institution because of interest checking, modeled based on whether the person considered benefits for using an interest-bearing checking account very important when deciding which financial institution to use.

Indicates whether someone in the household has an interest in participating in sports.

Indicates whether someone in the household has an interest in interior decorating books.

Ranks an individual's likelihood of being an intermittent faster, modeled based on whether any household members regularly plan their meals to follow intermittent fasting.

Indicates whether someone in the household has an interest in international travel.

Ranks an individual's likelihood to conduct international travel.

Ranks an individual's likelihood to have an international wireless or landline telephone service, modeled based on whether the household make international phone calls anywhere outside of the United States.

Ranks an individual's likelihood to switch from a cable provider to a 5G home internet service, modeled based on whether the household use 5G technology for internet service.

Ranks an individual's likelihood to be an internet all the time consumer, modeled based on whether the person strongly agrees that they are always connected, would feel disconnected without the internet, and prioritizes unlimited data for mobile plans.

Ranks an individual's likelihood to use internet connected fitness products, modeled based on whether any household members subscribe to a paid fitness program for home workouts, or do any home exercise machines (treadmill, stationary bicycle or bike trainers, elliptical trainer, stair-stepper, rowing machine, weight machine, other large fitness equipment) connect to the internet through a paid subscription (e.g., for live access, for streaming workout programs, for connecting/sharing stats to social media).

Ranks an individual's likelihood to review media via searches online, modeled based on whether the person prefers receiving information through company websites, online forums, blogs, or other online sites and searches.

Ranks an individual's likelihood to switch internet service, modeled based on whether the person changed their internet provider after moving in the last 12 months or is likely to move and change providers in the next 12 months.

Ranks an individual into five tiers based on spending on intimate apparel and undergarments.

Indicates an individual's intimate apparel undergarments engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active intimate apparel undergarments champion (top 20% spending with most recent activity in past 0-6 months) to Dormant intimate apparel undergarments minimal (bottom 20% spending with oldest activity over 25 months ago). Based on observed spending in the intimate apparel and undergarments category.

Indicates how recently an individual purchased an item in the intimate apparel and undergarments category.

Ranks an individual's likelihood to use an investment broker, modeled based on whether the household currently use an investment broker.

Indicates whether someone in the household has an interest in making investments.

Estimates a household's total financial investment amount, including stocks, bonds, and other non-liquid assets.

Indicates whether a household contains a dual-income couple without children and higher-than-average discretionary income.

Indicates if the property owner is recognized as a corporation or business.

Indicates whether an individual has made a charitable donation in the last 12 months.

Identifies whether a single delivery point serves multiple separate entities, such as multiple businesses or families. For example, TRUE indicates the delivery point is a drop site serving multiple entities.

Indicates whether an individual is newly married.

Indicates whether an individual has recently graduated from college.

Indicates whether an individual is an adult newly added to the database in the past 1-3 months.

Indicates whether the property is residential.

Ranks an individual's likelihood to be an Italian diner, modeled based on whether the household always or regularly selects Italian food and purchases it four or more times per month.

Ranks an individual's likelihood to be a Japanese dining enthusiast, modeled based on whether the household regularly selects Japanese food and purchases it four or more times per month.

Ranks an individual's likelihood to own a Japanese-import motorcycle.

Indicates whether someone in the household has an interest in jazz music.

Indicates whether someone in the household has an interest in purchasing juvenile life insurance.

Ranks an individual's likelihood to be a Keurig switcher, modeled based on whether the household is somewhat likely to, very likely to, or definitely will purchase a new coffee maker in the next 12 months, and somewhat likely to, very likely to, or definitely will consider a Keurig brand, and do not currently have a Keurig brand single serve coffee maker.

Counts the number of Kia vehicles in a household.

Indicates an individual's kitchen and bath engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active kitchen and bath champion (top 20% spending with most recent activity in past 0-6 months) to Dormant kitchen and bath minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased items in the kitchen and bath category.

Ranks an individual into five tiers based on spending on the Kitchen and Bath category.

Indicates an individual's kitchen and home catalog engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active kitchen and home catalog champion (top 20% spending with most recent activity in past 0-6 months) to Dormant kitchen and home catalog minimal (bottom 20% spending with oldest activity over 25 months ago).

Ranks an individual into five tiers based on their spending on kitchen and home catalog publications.

Indicates how recently an individual purchased a kitchen and home publication, such as magazines, cookbooks, home decorating guides, and subscription content.

Ranks an individual's likelihood to be a Kroger enthusiast, modeled based on whether the person shops at Kroger at least once per week, has a loyalty card, and uses the store app or receives store communications.

Ranks an individual's likelihood to read product labels, modeled based on whether the individual consider the ingredients a product contains to be very important, read the ingredient list on most products the individual buy and often avoid buying food, personal care or household products because of ingredients the product contains.

Ranks an individual's likelihood to be a labor union member, modeled based on whether the person or anyone in their household is a member of a labor union.

Identifies the reason an individual's primary landline is on a do-not-call list.

Ranks an individual's likelihood to travel to Las Vegas, modeled based on whether the person or any household members traveled to Las Vegas within the last five years.

Indicates how recently an individual made their last purchase, measured in the number of months since the transaction occurred.

Indicates the date of the individual's last response.

Indicates the date an individual's record was last verified in the vendor's database.

Ranks an individual's preference for Latin music relative to other music genres, modeled based on whether the household regularly or occasionally listen to Latin music.

Ranks an individual's likelihood to be interested in and actively seek out new laundry products, modeled based on whether the person has tried at least one new laundry product in the last 6 months, is willing to try new laundry products, and is usually one of the first to try them.

Indicates whether someone in the household has an interest in leisure travel.

Ranks an individual's likelihood to choose a financial institution for lending options, modeled based on whether the person considered lending services very important when deciding which bank or credit union to use.

Measures the length of time in months a household has resided at its current address.

Indicates a long length of residence at an individual's current address.

Ranks an individual's likelihood to donate to liberal causes, modeled based on whether the individual usually vote for parties based on the topics they are campaigning about and the topics/issues being represented.

Ranks an individual into five tiers based on a household's relative donation amount to liberal nonprofit organizations.

Indicates how recently a household has supported liberal nonprofit organizations.

Indicates whether someone in the household has an interest in donating to liberal political causes.

Indicates whether someone in the household donates to causes supporting veterans or active military personnel.

Indicates whether someone in the household has an interest in purchasing life insurance.

Ranks an individual into five tiers based on their total number of lifetime purchases.

Ranks an individual's likelihood to drink light beer, modeled based on whether household members regularly drink light beer, and most often consume light beer.

Ranks an individual's likelihood to be a LinkedIn subscriber, modeled based on whether the individual have a LinkedIn account and the individual use it at least once per week to search job postings, post original content, re-post others’ content, scroll through/read posts on the home page, check notifications, invite others to connect/ join the individual's network, organize and post offline events, join groups, communicate with others using the message feature, or other activities.

Ranks an individual's likelihood to consume liquor, modeled based on whether household members usually drink hard liquor/spirits (e.g., vodka, rum, whiskey, liqueur) at least two days a week.

Ranks an individual's likelihood to attend live music events, modeled based on whether household members attend live music shows or concerts two or more times per year.

Ranks an individual's likelihood to watch livestreams on social media platforms, modeled based on whether the individual watch livestreamed content on Facebook Live, Instagram Live, LinkedIn Live, Periscope, TikTok, Twitch, YouTube Live, or other social media platform(s).

Indicates whether a household resides in a single-family dwelling.

Ranks an individual's likelihood to take long road trips, modeled based on whether the person has taken three or more trips involving driving more than 100 miles to the destination in the last two years.

Ranks an individual's likelihood to buy long term care insurance, modeled based on whether the household currently own long-term care insurance.

Ranks an individual's likelihood to purchase loungewear, modeled based on whether the household members regularly wear athletic or athleisure clothing and strongly agree that it has become a main part of their wardrobe.

Indicates whether an individual has used a credit card from a low-end department store (e.g., Walmart, Kmart).

Ranks an individual's likelihood to purchase low-end mattresses, modeled based on whether the household plan to purchase a new mattress in the next 12 months, and if it were purchased today, would it be less than or equal to $1,000.

Ranks an individual's likelihood to use a low interest credit card, modeled based on whether the person considers a low interest rate a very important feature for credit cards for their household.

Indicates an individual's price female apparel accessories engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active price female apparel accessories champion (top 20% spending with most recent activity in past 0-6 months) to Dormant price female apparel accessories minimal (bottom 20% spending with oldest activity over 25 months ago).

Ranks an individual into five tiers based on their spending on low-price female apparel and accessories.

Indicates how recently an individual purchased items in the low-price female apparel and accessories category.

Indicates an individual's price male apparel engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active price male apparel champion (top 20% spending with most recent activity in past 0-6 months) to Dormant price male apparel minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased low-price male apparel.

Ranks an individual into five tiers based on their spending on low-price male apparel.

Indicates an individual's to mid price home decor engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active to mid price home decor champion (top 20% spending with most recent activity in past 0-6 months) to Dormant to mid price home decor minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased items in the low to mid-price home décor category.

Ranks an individual into five tiers based on their spending on low-to-mid-price home decor.

Ranks an individual's likelihood to be loyal to their financial institution for more than five years, modeled based on whether the individual has had accounts with the individual's primary financial institution for five years or longer.

Ranks an individual's likelihood to dine out frequently for lunch, modeled based on whether household members purchase lunch from a restaurant (either for dining in, takeout or drive through) 3 or more times per week.

Ranks an individual's likelihood to purchase a luxury imported vehicle, SUV, or car.

Ranks an individual's likelihood to purchase a luxury SUV.

Ranks an individual's likelihood to purchase a luxury truck.

Indicates whether a household owns at least one luxury vehicle, including brands like Acura, Audi, BMW, Cadillac, Jaguar, Land Rover, Lexus, Lincoln, Mercedes-Benz, and Porsche.

Ranks an individual's likelihood of purchasing a luxury vehicle, from 1 (least likely) to 100 (most likely), based on modeled propensity scores across luxury trucks, SUVs, cars, imports, and new luxury vehicle purchasing behavior.

Indicates how recently an individual purchased magazines or magazine subscriptions across any category, including general magazines, regional culture and history magazines, men's interest magazines, and broad multi-interest magazine subscriptions.

Ranks individuals into five tiers based on their strongest magazine spending signal across categories, including general magazines, regional culture and history magazines, men's interest magazines, and broad multi-interest magazine subscriptions.

Indicates how recently an individual purchased magazines across all categories.

Ranks an individual's likelihood to subscribe to read magazines, modeled based on whether the household read one or more magazines in a month.

Ranks individuals into five tiers based on total spending on magazine subscriptions across all categories.

Indicates an individual's magazines engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active magazines champion (top 20% spending with most recent activity in past 0-6 months) to Dormant magazines minimal (bottom 20% spending with oldest activity over 25 months ago). Based on observed spending in the general magazines category.

Indicates whether someone in the household has an interest in apparel ordered through mail.

Indicates whether someone in the household has an interest in big and tall apparel ordered through mail.

Indicates whether someone in the household has an interest in books ordered through mail.

Indicates whether someone in the household purchases products through mail order.

Indicates whether someone in the household has an interest in children's products ordered through mail.

Indicates whether a household donates to causes through the mail.

Indicates whether someone in the household has an interest in food ordered through mail.

Indicates whether someone in the household has an interest in gifts ordered through mail.

Indicates whether someone in the household has an interest in health and beauty products ordered through mail.

Indicates whether someone in the household has an interest in home furnishings ordered through mail.

Indicates whether someone in the household has an interest in jewelry ordered through mail.

Indicates whether someone in the household has an interest in magazines ordered through mail.

Indicates whether someone in the household responds to or transacts via mail order, covering categories such as food, children's products, big and tall, videos/DVDs, jewelry, gifts, health and beauty, women's plus, books, home furnishings, magazines, apparel, and charitable donations.

Indicates whether someone in the household has an interest in videos and DVDs ordered through mail.

Indicates whether someone in the household has an interest in women's plus-size clothing ordered through mail.

Indicates whether an individual uses a standard retail store credit card (e.g., Target, Macy's, Kohl's).

Indicates how recently an individual purchased maintenance, repair, and operations (MRO) supplies such as janitorial products, replacement parts, and business forms.

Indicates an individual's male apparel engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active male apparel champion (top 20% spending with most recent activity in past 0-6 months) to Dormant male apparel minimal (bottom 20% spending with oldest activity over 25 months ago). Based on observed spending in the male apparel category.

Indicates how recently an individual purchased male apparel.

Ranks an individual into five tiers based on their spending on male apparel.

Estimates the male population of the zipcode.

Indicates whether the individual is married or single.

Ranks individuals into tiers of estimated overall marketing profitability, from most profitable (83rd-100th percentile) to least profitable (0-2nd percentile), based on modeled household marketing value.

Dates when an individual's overall marketing value tier last changed (see Marketing value overall changed to).

Indicates the direction of the most recent change in an individual's overall marketing value tier (see Marketing value overall).

Indicates the overall marketing value tier an individual changed to by the latest change date (see Marketing value overall change date).

Indicates whether the marketing profitability prediction is at a household level.

Ranks an individual's likelihood of being a skilled cook who enjoys the experience of cooking.

Counts the number of Mazda vehicles in a household.

Ranks an individual's likelihood to purchase meal combos at restaurants, modeled based on whether the person is more likely to order a combo when given the option and whether household members purchase meals from fast food or casual restaurants 3 or more times per month.

Ranks an individual's likelihood to have meal kits delivered, modeled based on whether the household has used any meal kit delivery services (e.g. Blue Apron, Hello Fresh) in the last 12 months.

Ranks an individual's likelihood of developing weekly meal plans and shopping lists to match, modeled based on whether the household always, or almost always, plan what household products to buy based on the menu for the week and approach making meals by planning what to make in advance or planning meals for the whole week.

Ranks an individual's likelihood to prefer meatless products, modeled based on whether the person's household eats meat less often than 1 or 2 days a week, or never.

Ranks an individual's likelihood to qualify for Medicaid, modeled based on whether the household has government health insurance (e.g., Medicaid) and not insurance provided through an employer.

Indicates the recency of an individual's donations to medical causes supporting all ailments, ages, and life stages within the Health for Life Donors category.

Ranks an individual into five tiers based on donation amount to medical causes supporting all ailments and life stages.

Indicates whether someone in the household has an interest in medical and health books.

Ranks an individual's likelihood to purchase a Medicare Advantage Plan, modeled based on whether the household currently have, or plan to get in the next 12 months, Medicare Advantage Plan insurance.

Ranks an individual's likelihood to qualify for both Medicare and Medicaid, modeled based on whether the household is considered dual eligible for Medicare.

Ranks an individual's likelihood to purchase Medicare Part B health insurance, modeled based on whether the household currently have Medicare Part B.

Ranks an individual's likelihood to purchase Medicare Part D prescription drug coverage, modeled based on whether the household has or plans to get Medicare Plan D Prescription Drug insurance in the next 12 months.

Indicates whether someone in the household has an interest in purchasing Medicare coverage.

Ranks an individual's likelihood to buy Medicare supplement plans, modeled based on whether the household currently have, or plan to get in the next 12 months, Medicare Supplement insurance.

Ranks an individual's likelihood to practice meditation, modeled based on whether any household members participate in meditation every few days or more often.

Ranks an individual's likelihood to travel to the Mediterranean, modeled based on whether the person or a household member has traveled to a Mediterranean country in the last five years, or intends to in the next five years.

Indicates the individual's standing as the primary, secondary, or other active member of a household.

Ranks an individual's likelihood of purchasing men's big and tall apparel, modeled based on whether the household has bought any men’s 2XL or larger size apparel by catalog or through the mail in the past six months.

Indicates an individual's likelihood to be a frequent buyer of men's cosmetics.

Indicates an individual's likelihood to be a frequent buyer of men's fragrances.

Indicates an individual's likelihood to be a frequent buyer of men's grooming products, including men's cosmetics and men's fragrances.

Indicates an individual's mens interest magazine engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active mens interest magazine champion (top 20% spending with most recent activity in past 0-6 months) to Dormant mens interest magazine minimal (bottom 20% spending with oldest activity over 25 months ago). Covers active subscribers to magazines geared towards men's interests including health, sports, investing, history, technology, DIY, and travel.

Indicates how recently an individual subscribed to men's interest magazines, covering health, sports, investing, history, technology, DIY, and travel.

Ranks individuals into five tiers based on spending on subscriptions to men's interest magazines, covering health, sports, investing, history, technology, DIY, and travel.

Indicates an individual's mens merchandise engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active mens merchandise champion (top 20% spending with most recent activity in past 0-6 months) to Dormant mens merchandise minimal (bottom 20% spending with oldest activity over 25 months ago). Covers households purchasing mid to higher ticket merchandise for men including dress clothes, casualwear, shoes, tools, and gifts.

Ranks an individual into five tiers based on a household's relative spending level on men's merchandise, including dress clothes, casualwear, shoes, tools, and gifts.

Counts the number of Mercury vehicles within an individual's household.

Ranks an individual's likelihood to be a Mexican dining enthusiast, modeled based on whether the household always or regularly selects Mexican food and purchases it four or more times per month when purchasing food for dine-in, take-out, or delivery.

Ranks an individual's likelihood to be a mid dollar donor, modeled based on whether the household typically donates $100 to $500 to charitable or social causes in a year.

Indicates an individual's mid price female apparel accessories engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active mid price female apparel accessories champion (top 20% spending with most recent activity in past 0-6 months) to Dormant mid price female apparel accessories minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates the recency of an individual's purchase in the Mid price Female Apparel/Accessories category.

Ranks individuals into five tiers based on how much they spend in the mid-price women's apparel and accessories category. The 12-month average spend is $79-$149.

Ranks an individual's likelihood to purchase a Mid-Tier Truck.

Indicates an individual's mid high price male apparel engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active mid high price male apparel champion (top 20% spending with most recent activity in past 0-6 months) to Dormant mid high price male apparel minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual has purchased mid and high-price male apparel, modeled based on the recency of purchase in the mid and high ticket male apparel category.

Ranks an individual into five tiers based on their spending on mid-to-high-price male apparel.

Indicates how recently a household purchased mid to high price merchandise for men.

Ranks an individual's likelihood to purchase Midmarket Term Life Insurance, modeled based on whether the household currently have term life insurance.

Ranks a midmarket an individual's likelihood to purchase whole life insurance, modeled based on whether the household have whole life insurance.

Ranks an individual's likelihood to purchase a midsize car.

Counts the number of midsize cars in a household.

Ranks an individual's likelihood to purchase a midsize sport utility vehicle.

Counts the number of midsize trucks in a household.

Indicates whether someone in the household has an interest in military books.

Indicates whether someone in the household has an interest in spending on military or veteran-related products.

Ranks an individual's likelihood to switch to Miller Light, modeled based on whether household members ever drink light beer, and regularly or occasionally drink Miller Lite Beer, and are very willing to try other brands of light beer.

Counts the number of Mini Cooper vehicles in a household.

Indicates how recently an individual purchased an item not covered by any other defined spending category.

Indicates whether an individual in a household has used a miscellaneous category credit card for a transaction.

Indicates whether someone in the household has an interest in spending on miscellaneous online topics.

Ranks an individual's likelihood to research products via their mobile phone, modeled based on whether the individual use the individual's mobile/cellular phone daily for browsing the Internet and researching products or looking up prices or product reviews.

Ranks an individual's likelihood to be a mobile gaming enthusiast, modeled based on whether household members play games on a mobile phone and spend more than $50 per year on mobile phone games.

Ranks an individual's likelihood to use Google Wallet/Apple Pay or Venmo/Abra mobile payment services, modeled based on whether the person has a smartphone and uses mobile payment services like Apple Pay, Google Pay, Samsung Pay, Venmo, or PayPal.

Ranks an individual's likelihood to be a mobile phone focused consumer, modeled based on whether the person always has their cell phone turned on and nearby, constantly checks it, and frequently shops online using it.

Ranks an individual's likelihood to switch mobile phone services, modeled based on whether any household members switched mobile phone service providers in the last 12 months.

Ranks an individual's likelihood to make a shopping list on their mobile phone, modeled based on whether the household always or almost always makes a shopping list on a phone when shopping for household products.

Indicates an individual's modern contemporary decor gifts engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active modern contemporary decor gifts champion (top 20% spending with most recent activity in past 0-6 months) to Dormant modern contemporary decor gifts minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased modern or contemporary decor gifts.

Ranks individuals into five tiers based on spending on modern or contemporary decor gifts.

Ranks an individual's likelihood to own a monitored home security system, modeled based on whether the household currently own a monitored home security system.

Indicates an individual's monthly mortgage payment.

Estimates the number of months since a vehicle in the household was last observed, covering both the most recently seen vehicle and the last seen vehicle overall. Values range from about 3 months to 72 months.

Measures the number of months since a vehicle was last observed in a household.

Indicates the deed type (e.g. trust, quit claim deed, revolving line of credit) of an individual's first mortgage.

Indicates the due date of an individual's first mortgage.

Indicates the interest rate of an individual's first mortgage.

Indicates the interest structure (e.g. adjustable, fixed, variable, balloon) of an individual's first mortgage.

Totals the dollar amount of an individual's primary first-position mortgage. Draws from observed loan records when available, falling back to a modeled estimate based on household and geographic data.

Indicates the year and month the first mortgage was originated.

Indicates the length of an individual's first mortgage in years, if applicable.

Measures the second mortgage amount of an individual.

Indicates the deed type (e.g. trust, quit claim deed, revolving line of credit) of an individual's second mortgage.

Indicates the due date of an individual's second mortgage.

Indicates the financing type of an individual's second mortgage (e.g. VA loan, private party, wraparound mortgage).

Indicates the initiation date of an individual's second mortgage.

Indicates the interest rate of an individual's second mortgage.

Indicates the interest structure (e.g. adjustable, fixed, variable, balloon) of an individual's second mortgage.

Indicates the term of an individual's second mortgage in years.

Measures the remaining balance on an individual's third mortgage, if applicable.

Indicates the due date of an individual's third mortgage.

Indicates the financing type of an individual's third mortgage (e.g. VA loan, private party, wraparound mortgage).

Indicates the initiation date of an individual's third mortgage.

Indicates the interest rate of an individual's third mortgage.

Indicates the interest structure (e.g. adjustable, fixed, variable, balloon) of an individual's third mortgage.

Measures the term length in years of an individual's third mortgage, if applicable.

Indicates the financing type of an individual's first mortgage (e.g. VA loan, private party, wraparound mortgage).

Indicates the loan to value ratio on an individual's mortgage.

Indicates the type of loan taken on a household's property (e.g., Conventional, FHA, VA).

Indicates the interest rate on an individual's mortgage or refinance.

Ranks an individual's likelihood to refinance their mortgage, modeled based on whether the household has refinanced the individual's mortgage within the past three years.

Ranks an individual's likelihood of refinancing a mortgage. Built using models that incorporate protected class data (e.g., age, gender), modeled based on whether the household has refinanced the individual's mortgage within the past three years.

Ranks an individual's likelihood to have a home mortgage, modeled based on whether the person or a household member has a home mortgage.

Ranks an individual's likelihood of having a mortgage. Built using models that incorporate protected class data (e.g., age, gender), modeled based on whether any household members have a home mortgage.

Indicates the most frequently occurring fuel type across up to six vehicles in a household. Possible values include gas, diesel, electric, plug-in hybrid, flexible fuel, bio diesel, compressed natural gas, and propane.

Measures the remaining balance of an individual's most recent home equity loan. A home equity loan is a type of consumer debt that allows homeowners to borrow against the equity in their residence.

Ranks an individual's likelihood to purchase a motorcycle.

Indicates whether someone in the household has an interest in motorcycle riding.

Ranks an individual's likelihood to own a motorized watercraft, modeled based on whether the household have a motorized boat (e.g., cabin cruiser, yacht, pontoon boat) or personal watercraft (e.g., Jet Ski, Yamaha WaveRunner, Sea-Doo).

Ranks an individual's likelihood to own a mountain bike, modeled based on whether the household have a mountain bike.

Ranks a household's likelihood to move to a new home in the next 2-4 months.

Indicates an individual's likelihood to move in the next two to four months.

Ranks an individual's likelihood to belong to a movie loyalty program, modeled based on whether any household members belong to a movie theater loyalty program.

Ranks an individual's likelihood to have home and auto policies with the same company, modeled based on whether the household have home and vehicle insurance with the same provider.

Ranks an individual's likelihood to visit multiple retailers to complete their shopping list and fulfill shopping trip needs, modeled based on whether the person is likely to shop at different stores to get their shopping done, avoid buying products if seen for less elsewhere, and go to different stores to get the best deal.

Ranks an individual's likelihood to be a museum member, modeled based on whether any household members have a membership to a museum.

Ranks an individual into five tiers based on spending on music and videos.

Indicates whether someone in the household has an interest in music.

Indicates an individual's music videos engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active music videos champion (top 20% spending with most recent activity in past 0-6 months) to Dormant music videos minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased in the Music/Videos category.

Indicates whether someone in the household has an interest in purchasing mutual funds.

Indicates how recently an individual purchased name-brand, fashionable, and comfortable female apparel.

Ranks an individual's likelihood to be interested in NASCAR, modeled based on whether household members watch NASCAR at least every few weeks.

Indicates whether someone in the household has an interest in NASCAR.

Ranks an individual's likelihood to be a national bank individual, modeled based on whether the individual use a national bank for the individual's personal financial transactions (for example day-to-day banking, checking, mortgages, loans etc.).

Indicates whether someone in the household has an interest in donating to Native American causes.

Ranks an individual's likelihood to switch brands of natural cheese slices, modeled based on whether household members use natural cheese slices at least weekly, and usually buy different brands, and are very willing to try different brands.

Indicates whether someone in the household has an interest in natural foods.

Ranks an individual's likelihood to be interested in home cleaners with renewable or environmentally healthy ingredients, modeled based on whether the person considers a product being green or natural very important when buying home cleaning products.

Ranks an individual's likelihood to switch between brands of natural shredded cheese, modeled based on whether household members use natural shredded cheese at least weekly, and usually buy different brands, and are very willing to try different brands.

Indicates whether someone in the household has an interest in sewing, needlework, and knitting.

Estimates a household's total assets minus total liabilities.

Estimates a household's net worth tier without using protected class data such as race or age. Net worth is the total value of all assets minus outstanding debts and liabilities.

Indicates the date a household had a child aged 0 to 2 years old.

Indicates the date a new pre-driver was identified in a household. The day value (01) is a placeholder; only the year and month are meaningful.

Ranks an individual's likelihood to purchase a new luxury vehicle, modeled based on whether the individual has purchased a new luxury vehicle.

Ranks an individual's likelihood to purchase a new non-luxury vehicle, modeled based on whether the individual has purchased a new non-luxury vehicle.

Estimates the age in months of a household vehicle, based on the oldest or most recent model year vehicle present.

Indicates the mileage on the most recent model year vehicle in a household.

Measures the number of months since the newest vehicle in a household was last observed.

Measures the age, in months, of the newest vehicle within a household.

Indicates the date an individual was identified as newly married.

Indicates the date an individual became newly single.

Indicates whether an individual became single.

Indicates an individual's newsletters engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active newsletters champion (top 20% spending with most recent activity in past 0-6 months) to Dormant newsletters minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently an individual purchased an item in the newsletters category.

Ranks an individual into five tiers based on the average dollars spent on the Newsletters category.

Ranks an individual's likelihood to invest in non-401k mutual funds, modeled based on whether the household currently have or plan to get in the next 12 months non-401k stocks or bonds.

Ranks an individual's likelihood to consume non-beef jerky products, modeled based on whether any household members eat other jerky (turkey, chicken, pork, wild game, fish, vegan, other types) every few days or daily.

Ranks an individual's likelihood to use a non-cash rewards credit card, modeled based on whether other points programs are an important feature for credit cards in the household.

Ranks an individual's likelihood to game on non-mobile devices, modeled based on whether any household members play video games on a gaming console (e.g., PS4, Xbox, Nintendo Switch) and spend $100 or more per year on games.

Ranks an individual's likelihood to own non-motorized watercraft, modeled based on whether the household has a canoe, kayak, stand up paddle board, or other non-motorized boat.

Indicates the level of specificity for the number of adults in a household.

Counts the number of advanced fuel type vehicles, such as hybrids, within a household.

Counts the number of Chevrolet vehicles in a household.

Indicates the number of Chrysler vehicles in a household.

Counts the number of crossover vehicles in a household.

Counts the number of Eagle vehicles in a household.

Counts the number of Fiat vehicles in a household.

Counts the number of Ford vehicles in a household.

Counts the number of full-size sport utility vehicles in a household.

Counts the number of gasoline-powered vehicles in a household.

Counts the number of vehicles from high-end import manufacturers within a household.

Counts the number of Hummer vehicles in a household.

Counts the number of Hyundai vehicles in a household.

Counts the number of Isuzu vehicles in a household.

Counts the number of Jeep vehicles in a household.

Counts the total number of vehicles from low-end import manufacturers in a household.

Counts the number of luxury vehicles in a household.

Counts the number of Mitsubishi vehicles in a household.

Counts the number of Nissan vehicles in a household.

Counts the number of Plymouth vehicles in a household.

Counts the number of Saturn vehicles in a household.

Counts the number of sedan vehicles in an individual's household.

Counts the number of Subaru vehicles in a household.

Counts the number of vans in an individual's household.

Counts the number of Volkswagen vehicles in a household.

Indicates whether someone in the household has an interest in natural foods, nutrition, or fitness.

Indicates whether someone in the household has an interest in nutrition and healthy eating.

Ranks an individual's likelihood to switch nutritional health bar brands, modeled based on whether household members eat nutritional health bars at least weekly, and usually buy different brands, and are very willing to try different brands.

Ranks individuals into five tiers based on their total spending on purchases offline observed.

Ranks individuals into five tiers based on their total number of purchase offline observed.

Estimates the age in months of a household vehicle, based on the oldest or most recent model year vehicle present.

Counts the number of Oldsmobile vehicles in a household.

Ranks an individual's likelihood to access movies from Hulu-Plus or Netflix, modeled based on whether the household accesses movies at least three times per week through a paid streaming, pay-per-view, or premium cable service.

Ranks an individual's likelihood of owning an on-road motorcycle.

Ranks an individual's likelihood to eat food and drink on the go, modeled based on whether the household members are likely to buy food or beverages when they are out of the home and need a meal.

Ranks an individual's likelihood to eat snack food on the go, modeled based on whether the household regularly consume snacks when out of the home and for activities/programs out of the home and for day trips and on longer trips and at work and at school.

Counts the total number of one-shot product orders from a household within the last 24 months.

Ranks an individual's likelihood to primarily shop at one retailer for each shopping trip, modeled based on whether the person prefers to shop where they can meet most of their household needs in one stop and does not consider it worthwhile to shop at different stores to get the best deal.

Ranks individuals into five tiers based on their total spending on purchases online observed.

Ranks an individual's likelihood to use an online broker, modeled based on whether the household currently use an online brokerage.

Ranks an individual's likelihood of seeking an online degree or online education, modeled based on whether the individual has considered online courses to complete the individual's degree or certificate program.

Ranks an individual's likelihood to participate in online gaming, modeled based on whether the individual pay to play video games online, either by subscription or as the individual use it.

Ranks an individual's likelihood to purchase or be interested in purchasing home cleaning products online, modeled based on whether the individual buy home cleaning products online at least every 2-3 months.

Ranks an individual's likelihood to seek online hotel deals, modeled based on whether household members travel at least six days per year, have booked a hotel online three times in the past two years, strongly agree that booking online provides the best deal, and consider price important when booking.

Ranks an individual's likelihood to purchase online hotel upgrades, modeled based on whether household members travel on average at least six days per year for business or personal, and have booked a hotel online at three times in the past two years, and room upgrades are most important or room upgrades are somewhat or very important when booking a hotel, and regularly or occasionally pay extra to upgrade to a more expensive room option.

Ranks an individual's likelihood to purchase auto or homeowners insurance online, modeled based on whether the individual's household purchases insurance online.

Ranks an individual's likelihood to purchase laundry products online, modeled based on whether the individual buy laundry products online at least every 2-3 months.

Indicates how recently an individual purchased lower-ticket apparel, jewelry, accessories, or personal care items online. They tend to be mature, female, and low-price shoppers.

Ranks an individual's likelihood to subscribe to online magazines or newspapers, modeled based on whether any household members subscribe to paid magazines, newspapers or newsletters accessed online.

Ranks an individual into five tiers based on spending on online apparel, jewelry, accessories, and personal care items.

Ranks an individual's likelihood to purchase personal care products online, modeled based on whether the individual buy personal care products online at least every 4-6 months and, in a typical month, do the individual tend to buy at least 10% of the individual's personal care products online.

Ranks an individual's likelihood to purchase pet food online, modeled based on whether household members purchased pet food or pet treats online in the last 12 months.

Ranks an individual's likelihood to shop at pharmacies online, modeled based on whether the individual has used online pharmacies, and in the last 12 months used an online pharmacy six or more times for prescription medication, and the household is very likely to use an online pharmacy in the next 12 months for prescription medication.

Ranks an individual's likelihood to order food online and pick up in a restaurant, modeled based on whether the person ordered from a restaurant online or on an app and picked up at the restaurant four or more times in the last 12 months.

Ranks an individual's likelihood to research products online and in physical stores before making a purchase online, modeled based on whether the individual has viewed a product online, gone to a store to see it, and then bought it online in the last six months.

Ranks individuals into five tiers based on their total number of purchase online observed.

Ranks an individual into five tiers based on the household's tendency to make purchases through online channels.

Ranks an individual's likelihood to shop online, modeled based on whether the household is more likely to shop online than in store and makes online purchases three or more times per month.

Ranks an individual's likelihood to use an online savings account, modeled based on whether the household currently uses an online savings account.

Ranks an individual's likelihood to purchase airfare via an online travel agency, modeled based on whether the individual is extremely likely to book through an online travel agency, when booking a flight only or a flight and.

Ranks an individual's likelihood to shop for vehicles on the internet.

Ranks an individual's likelihood to attend movies on opening weekend, modeled based on whether household members always or almost always go to an opening weekend for a newly released movie.

Ranks an individual's likelihood to seek and purchase food with organic certification or made from organic materials, modeled based on whether the individual almost always buy organic fruits, vegetables, packaged food and meat or fish.

Ranks an individual's likelihood to seek products made from organic raw materials and with organic certification, modeled based on whether the individual sometimes buy organic personal care products and products labeled as being ‘organic’, and do the individual trust that products labeled as organic are truly organic.

Ranks an individual's likelihood to purchase fragrances with oriental notes, modeled based on whether the household is very likely to purchase oriental (e.g. spicy, warm) types of fragrances.

Ranks an individual into five tiers based on spending on the Other category.

Ranks an individual's likelihood to use direct delivery dining services other than the major platforms, modeled based on whether the household has ever ordered delivery through a direct delivery dining service other than Grubhub, Uber Eats, Postmates, DoorDash, or ezCater.

Indicates an individual's other engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active other champion (top 20% spending with most recent activity in past 0-6 months) to Dormant other minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates whether someone in the household has an interest in spending on other faith-based products.

Indicates an individual's outdoor and diy male engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active outdoor and diy male champion (top 20% spending with most recent activity in past 0-6 months) to Dormant outdoor and diy male minimal (bottom 20% spending with oldest activity over 25 months ago). Covers active outdoorsmen who hunt and are handy around the house, shopping for a balance of quality and value.

Indicates how recently an individual engaged with the outdoor and diy male market category.

Indicates an individual's outdoor apparel and gear engagement intensity, categorized by spending quintile (top 20% to bottom 20%) and purchase recency (0-6 months to 25+ months). Values range from Active outdoor apparel and gear champion (top 20% spending with most recent activity in past 0-6 months) to Dormant outdoor apparel and gear minimal (bottom 20% spending with oldest activity over 25 months ago).

Indicates how recently a household purchased an item of outdoor apparel and gear. They tend to also purchase pet supplies, tools, and woodworking supplies.

Ranks an individual into five tiers based on household spending on outdoor apparel and gear.

Indicates whether someone in the household has an interest in the outdoors, camping, and hiking.

Ranks an individual's likelihood to own a second home, modeled based on whether the individual have a home that is owned or one that is rented for a part of the year (e.g., to get away for the winter, a second home, a vacation home).

Ranks an individual's likelihood to own a pet, modeled based on whether any household members have a cat(s) or dog(s).

Indicates whether the property owner lives at the property address or is an absentee owner.

Ranks an individual's likelihood to pay for streaming services, modeled based on whether the household accesses movies or shows at least two or more times per week through a paid streaming subscription service and does not use cable, satellite, or fiber optic TV.

Ranks an individual's likelihood to make and use paper shopping lists, modeled based on whether the household always makes a shopping list on paper when shopping for household products.

Indicates whether the parcel sold is detail, multiple, split, or a combination of them.

Indicates the type of parking facility associated with the property parcel.

Counts the total number of parking spaces for the property.

Ranks an individual's likelihood to switch pasta brands, modeled based on whether household members eat pasta at least weekly, and don’t usually try different brands, and are very willing to try different brands.

Ranks an individual's likelihood to purchase pasta sauce, modeled based on whether the household purchase pasta sauce weekly.

Ranks an individual's likelihood to live paycheck to paycheck, modeled based on whether the person has very low access to savings and uses services such as payday loans, minimum credit card payments, or cash advances.

Ranks an individual's likelihood to use PayPal, modeled based on whether the household use PayPal monthly or more often to pay for purchases or to transfer money.

Indicates how recently an individual purchased unique, personalized gifts for loved ones.

Ranks individuals into five tiers based on spending on unique, personalized gifts for loved ones.

Indicates the middle initial of an individual.

Ranks an individual's likelihood to be interested in and actively seek out new personal care products, modeled based on whether the person has tried at least 3 new personal care products in the last 6 months, is very willing to try new ones, and is usually one of the first to do so.

Ranks an individual's likelihood to engage in personal travel for at least 11 days per year, modeled based on whether any household members travel for personal reasons 11 or more days per year.

Ranks an individual's likelihood to adopt a pet, modeled based on whether the individual or anyone in the household has ever adopted a pet from an animal services center/shelter or rescue organization, and are somewhat likely to, or very likely to, or definitely will adopt a pet in the next 12 months (from an animal services center/shelter or rescue organization).

Indicates whether someone in the household has an interest in pets.

Ranks an individual's likelihood to treat pets as family members, such as through pet photos, birthday celebrations, and spa visits, modeled based on whether the individual treat the individual's pet like the individual would a family member, do family photos usually include the individual's pet, does the individual's pet get a present on their birthday or holidays, do the individual regularly take the individual's pet to the spa and in a typical year, do the individual spend at least $1,500 on the individual's pet.

Indicates whether someone in the household has an interest in photography.

Indicates the number of pickup vehicles in a household.

Indicates whether someone in the household has an interest in using Pinterest.

Ranks an individual's likelihood to spend on Pinterest, modeled based on whether the household has made one or more purchases on Pinterest in the last 12 months.

Ranks an individual's likelihood to be a pizza dining enthusiast, modeled based on whether the household always selects pizza when purchasing food (for dine-in, take-out, or delivery) and purchases it four or more times per month.

Ranks an individual's likelihood of getting a fitness membership in the next 12 months, modeled based on whether any household members plan to get a gym membership in the next 12 months.

Ranks an individual's likelihood to set up a planned giving account, modeled based on whether the individual has or someone in the household already set up planned giving in a will.

Ranks an individual's likelihood to be a plant-based diner, modeled based on whether the individual follow a plant-based eating style every day or almost every day.

Ranks an individual's likelihood to listen to the Crime Junkie podcast, modeled based on whether the person listens to the Crime Junkie podcast.

Ranks an individual's likelihood of being a podcast enthusiast, modeled based on whether the individual listen to podcasts at least weekly.

Ranks an individual's likelihood to listen to the Morbid: A True Crime podcast, modeled based on whether the person listens to the Morbid: A True Crime podcast.

Ranks an individual's likelihood to listen to the My Favorite Murder podcast, modeled based on whether the individual listen to the My Favorite Murder podcast.

Ranks an individual's likelihood to listen to The Ben Shapiro Show podcast, modeled based on whether the individual listens to The Ben Shapiro Show podcast.

Ranks an individual's likelihood to listen to The Daily podcast, modeled based on whether the individual listens to The Daily podcast.

Ranks an individual's likelihood of listening to The Joe Rogan Experience podcast, modeled based on whether the individual listen to The Joe Rogan Experience podcast.

Ranks an individual's likelihood to listen to true crime podcasts, based on affinity scores across multiple popular true crime podcast titles.

Indicates whether an individual has a history of donating to conservative or liberal political causes, based on self-reported and observed donation activity in the household.

Indicates the political party affiliation of the individual.