Experian Retail Shoppers Segments

Likely frequent spenders at theme park stores (e.g. Disney online, in-store and at theme parks). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at thrift stores (e.g. American Red Cross, Habitat for Humanity, Salvation Army). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at high end active wear sporting goods stores (e.g. REI, Patagonia, Lululemon). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at high end active wear sporting goods stores (e.g. REI, Patagonia, Lululemon). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at sporting goods stores (e.g. Dicks Sporting Goods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at sporting goods stores (e.g. Dicks Sporting Goods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at sporting goods stores (e.g. Dicks Sporting Goods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at sporting goods stores (e.g. Dicks Sporting Goods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders for ride share services (e.g. Uber, Lyft). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at Mexican restaurants (e.g. Taco Bell, Chipotle). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at coffee shops (e.g. Starbucks, Dunkin Donuts). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at sub/sandwich restaurants (e.g. Jersey Mike's Subs, Jimmy Johns, Subway). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at pizza restaurants (e.g. Domino's, Little Caesars, Pizza Hut). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at ice cream restaurants (e.g. Dairy Queen). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at any fast-food restaurant. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at chicken restaurants (e.g. Chick-Fil-A, KFC, Popeye's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at burger restaurants (e.g. Burger King, McDonalds). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at casual dining restaurants (e.g. Cheesecake Factory, Outback, Olive Garden). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at breakfast restaurants (e.g. Bob Evans, Denny's, IHOP). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at gift and jewelry stores during the Mother's Day shopping season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at high end/luxury retail stores (e.g. Tiffany & Co, Coach, Armani, Louis Vuitton). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at high end/luxury retail stores (e.g. Tiffany & Co, Coach, Armani, Louis Vuitton). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at golf stores and venues (e.g. Top Golf, Golf Galaxy). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at gift stores (e.g. 1-800 Flowers, Popcorn Factory, Harry & David). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at gift stores (e.g. 1-800 Flowers, Popcorn Factory, Harry & David). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at luxury furniture/home decor stores (e.g. Pottery Barn). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at luxury furniture/home decor stores (e.g. Pottery Barn). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at luxury furniture/home decor stores (e.g. Pottery Barn). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at luxury furniture/home decor stores (e.g. Pottery Barn). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at affordable furniture/home decor stores (e.g. Kirkland's, Homegoods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at affordable furniture/home decor stores (e.g. Kirkland's, Homegoods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders affordable furniture/home decor stores (e.g. Kirkland's, Homegoods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at affordable furniture/home decor stores (e.g. Kirkland's, Homegoods). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at dept, sports or electronic stores during the Father's Day shopping season. Based on known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely spenders using digital wallet online payment methods (e.g. PayPal, Google Pay, Venmo). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at department stores (e.g. Kohls, Macy's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at luxury department stores (e.g. Neiman Marcus, Nordstrom). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spender at luxury department stores (e.g. Neiman Marcus, Nordstrom). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at luxury department stores (e.g. Neiman Marcus, Nordstrom). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at luxury department stores (e.g. Neiman Marcus, Nordstrom). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at department stores (e.g. Kohls, Macy's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at department stores (e.g. Kohls, Macy's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at department stores (e.g. Kohls, Macy's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spender deal shoppers at department stores (e.g. Marshalls, Ross Stores, TJ Maxx). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spender deal shoppers at department stores (e.g. Marshalls, Ross Stores, TJ Maxx). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spender deal shoppers at department stores (e.g. Marshalls, Ross Stores, TJ Maxx). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spender deal shoppers at department stores (e.g. Marshalls, Ross Stores, TJ Maxx). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders for childrens toys (e.g. Disney stores, Buy Buy Baby, Build a Bear, GameStop). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders for childrens toys (e.g. Disney stores, Buy Buy Baby, Build a Bear, GameStop). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders for childrens toys (e.g. Disney Stores, Buy Buy Baby, Build a Bear, Gamestop). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders for childrens toys (e.g. Disney stores, Buy Buy Baby, Build a Bear, GameStop). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at Walmart. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at Walmart. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at Walmart. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at Walmart. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at Target. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at Target. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at Target. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at Target. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at Sam's Club. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at Sam's Club. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at Sam's Club. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at Sam's Club. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at Costco. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at Costco. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at Costco. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at Costco. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at Amazon. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at Amazon. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store spenders at discount/bargain stores (e.g. Dollar Stores, Big Lots, Dollar Gen, Dollar Tree). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at discount/bargain stores (e.g. Dollar Stores, Big Lots, Dollar Gen, Dollar Tree). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online spenders at discount/bargain stores (e.g. Dollar Stores, Big Lots, Dollar General, Dollar Tree). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Consumers that are likely to be in market for Buy Now Pay Later offers in next 90 days. Built on the statistical analysis of industry leading Consumer Credit and Marketing databases. Made available with FLA Friendly compliance in mind.

Consumers that are likely to be in market for Buy Now Pay Later offers in next 90 days. Built on the statistical analysis of industry leading Consumer Credit and Marketing databases.

Indicates consumers likely to be in the market for an Auto Loan in the next 180 days. Made available with FLA Friendly compliance in mind, without the use of certain demographic attributes.

Likely high spenders or frequent purchasers at gift and jewelry stores during the Valentine's Day shopping season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of tax preparation services during tax preparation season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of vitamins/diet supplements (e.g. Herbalife, GNC, Vitacost.com). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of pre-made meals (e.g. Nutrisystem) during the new years season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at women's activewear/yoga stores (e.g. Lulelemon, Athleta). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at women's activewear/yoga stores (e.g. Lulelemon, Athleta). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at women's sleepwear and lingerie stores (e.g. Soma, Victoria's Secret). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at women's apparel stores (e.g. Anne Taylor, Chico's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online frequent spenders at women's apparel stores (e.g. Anne Taylor, Chico's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at women's apparel stores (e.g. Anne Taylor, Chico's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store frequent spenders at women's apparel stores (e.g. Anne Taylor, Chico's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of weekend getaway travel. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of travel to Amusement/Theme Parks. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of Summer vacation/leisure travel. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of Spring break vacation/leisure travel. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of luxury vacation/leisure travel. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of vacation/leisure travel. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders of vacation/leisure travel. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of economy-midscale vacations. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of vacation travel to beach destinations. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at tire sales and repair shops (e.g. Midas, Goodyear Tire and Tubber). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely telecommuter/SOHO high spenders at office supply stores (e.g. Office Depot, Staples). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at teen apparel stores (e.g. Abercrombie & Fitch, Hollister's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at teen apparel stores (e.g. Abercrombie & Fitch, Hollisters). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders during the Memorial Day shopping season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers during Fourth of July/Independence day season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely eCommerce high spenders or frequent purchasers. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely More Brick and Mortar high spenders or frequent purchasers. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely eCommerce Die Hard high spenders or frequent purchasers. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Brick and Mortar Diehard high spenders or frequent purchasers. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders of all retail categories. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online frequent spenders of all retail categories. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at pet stores (e.g. PetSmart, Petco, Barkbox). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at pet stores (e.g. PetSmart, Petco). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at outdoor and sporting goods stores (e.g. Cabela's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at outdoor and sporting goods stores (e.g. Cabela's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at organic/natural grocer stores (e.g. Whole Foods Market, Spouts). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers of all retail categories. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders of grocery delivery services (e.g. Kroger, Meijer, Walmart). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online frequent online coupon users. Based on observed internet actions with advanced modeling and statistical analysis to ensure the highest propensity to purchase.

Likely high spenders at office supply stores (e.g. Office Depot, Staples). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of newspapers & news magazines (e.g. The New York Times). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely new online retail spenders. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely new mover high spenders. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of travel to national parks. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at movie theaters (e.g. Regal Cinemas, AMC Theatres, Cinemark). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely cell/mobile phone switchers based on consumers switching mobile/cell service providers. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely consumers with a wireless cell service (e.g. T-Mobile, Verizon, Sprint). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders to mobile service providers (e.g. T-Mobile, Verizon, Sprint). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at men's apparel stores (e.g. Jos A Bank, Men's Wearhouse). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at men's apparel stores (e.g. Jos A Bank, Men's Wearhouse). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at men's activewear stores (e.g. Nike, Under Armour, Adidas). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at men's activewear stores (e.g. Nike, Under Armour, Adidas). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at men's accessory stores (e.g. Lid's, Oakley, Fossil). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of meal subscription services (e.g. Blue Apron, Home Chef, HelloFresh). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in-market for mattress. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at luxury apparel stores (e.g. Bloomingdale's, Nordstrom). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at luxury apparel stores (e.g. Bloomingdale's, Nordstrom). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at jewelry & watch stores (e.g. Kay Jewelers, Zale's, Pandora). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at hotels (e.g. Renaissance Hotels, Westin, Hilton Hotels). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at hotels (e.g. Hilton, Holiday Inn, Hyatt, Marriott, Wyndham). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at hotels (e.g. Hilton, Holiday Inn, Hyatt, Marriott, Wyndham). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at hotels (e.g. Holiday Inn, Ramada, Wyndham). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online frequent spenders at home improvement hardware stores (e.g. Home Depot, Lowes). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at home improvement hardware stores (e.g. Home Depot, Lowes). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at home improvement hardware stores (e.g. Home Depot, Lowes). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store frequent spenders at home improvement hardware stores (e.g. Home Depot, Lowes). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at home decorator stores (e.g. At Home, Wayfair, World Market). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at grocery stores (e.g. Kroger, Albertsons, Publix, Meijer, Aldi). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at grocery stores (e.g. Kroger, Albertsons, Publix, Meijer, Aldi). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at gas stations (e.g. Chevron/Texaco, Exxon Mobile). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at home improvement garden stores (e.g. Home Depot, Lowe's, Menard's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at home improvement garden stores (e.g. Home Depot, Lowe's, Menard's). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders of gaming subscription services (e.g. Zunga, Big Fish Games). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of gaming subscription services (e.g. Zunga, Big Fish Games). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online frequent spenders at furniture and home decor stores (e.g. Wayfair.com). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at furniture and home decor stores (e.g. IKEA, Pottery Barn). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store frequent spenders at furniture and home decor stores (e.g. IKEA, Pottery Barn). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at furniture and home decor stores (e.g. Wayfair.com). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at footwear (shoe) stores (e.g. DSW Shoe Warehouse, Zappos). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at footwear (shoe) stores (e.g. DSW Shoe Warehouse, Zappos). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at athletic footwear stores (e.g. Adidas, Under Armour, Nike). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at specialty food stores (e.g. Whole Food, Spouts, Williams Sonoma). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at florists (e.g. 1-800-Flowers). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at family apparel stores (e.g. Gap, Old Navy). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at family apparel stores (e.g. Gap, Old Navy). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely family with children high spenders at children & family stores. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely family with infants high spenders or frequent purchasers at baby product stores. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders in the consumer electronics categories (e.g. Best Buy). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders in the consumer electronics categories (e.g. Best Buy). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at dollar stores (e.g. Big Lots, Dollar General, Ollie's Bargain Outlet). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at cruise lines (e.g. Disney Princess Cruise, Norwegian Cruise). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at cruise lines (e.g. Royal Caribbean Cruise, Norwegian Cruise). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at cruise lines (e.g. Royal Caribbean Cruise, Norwegian Cruise). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at economy-midscale cruise lines (e.g. Carnival Cruise Lines). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at cosmetic & beauty supply stores (e.g. MAC Cosmetics, Sephora). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online frequent spenders at cosmetic & beauty supply stores (e.g. MAC Cosmetics, Sephora). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at cosmetic & beauty stores (e.g. MAC Cosmetics, Sephora). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store frequent spenders at cosmetic & beauty stores (e.g. MAC Cosmetics, Sephora). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at convince stores (e.g. Circle K, Caseys, 7 Eleven). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of computer software. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders of computer software. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at children's apparel stores (e.g. The Children's Place). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at children's stores (e.g. Carters, The Children's Place). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at children's stores (e.g. Carters, The Children's Place). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at children's stores (e.g. Carters, The Children's Place). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at children's apparel stores (e.g. The Children's Place). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at car rental agencies (e.g. Avis, Hertz, Enterprise). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at car rental agencies (e.g. Avis, Hertz, Enterprise). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at camera & photography stores (e.g. Shutterfly, Groove Book). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely business travel frequent spenders at airlines (e.g. Delta, American Airlines, Hilton). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at budget apparel stores (e.g. TJ Maxx, Ross Stores, Marshalls). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at budget apparel stores (e.g. TJ Maxx, Ross Stores, Marshalls). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at big-box electronics stores (e.g. Best Buy). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of back to school apparel stores during the back to school season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at back to school supply stores during the back to school season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at back to school supply stores during the back to school season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online frequent spenders at baby product stores (e.g. Baby Place, Buy Buy Baby). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store frequent spenders at baby product stores (e.g. Baby Place, Buy Buy Baby). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at baby product stores (e.g. Baby Place, Buy Buy Baby). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at baby product stores (e.g. Baby Place, Buy Buy Baby). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at auto service and repair shops (e.g. Midas, Goodyear Tire & Rubber). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at auto service and repair shops (e.g. Midas, Goodyear Tire & Rubber). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at auto parts and accessory stores (e.g. AutoZone, NAPA Auto Parts). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at auto parts and accessory stores (e.g. AutoZone, NAPA Auto Parts). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of auto insurance (e.g. Allstate, State Farm Insurance, Geico). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders at arts and craft stores (e.g. Michaels Stores). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders at arts and craft stores (e.g. Michaels Stores). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at amusement/theme parks (e.g. Disney, Six Flags, Sea World). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders at airlines (e.g. Delta, American, United, Frontier). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely frequent spenders at airlines (e.g. Delta, American, United, Frontier). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of streaming video services (e.g. Vudu, Hulu, Netflix ). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Vudu subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Sling TV subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Netflix subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Hulu subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely HBO subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of streaming audio services (e.g. Pandora Radio, Sirius XM, Spotify). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Spotify subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Sirius subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Pandora subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely recent cord cutters based on consumers switching from broadcast/TV services. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders of cable/broadcast TV services (e.g. Xfinity, The Dish Network, AT&T). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Xfinity subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Spectrum subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Dish Network subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely DirectTV subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely Comcast subscribers based on high spend or frequent purchases for this brand. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers at sporting goods stores (e.g. Dicks) during holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders or frequent purchasers at sporting goods stores (e.g. Dicks) during the holidays. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at shopping networks (e.g. QVC/HSN). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely one stop online holiday power shoppers during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely one stop in store holiday power shoppers during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers at luxury department stores during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders or frequent purchasers at luxury dept. stores (e.g. Bloomingdale's, Nordstrom). Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely last minute high spenders or frequent purchasers during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely heavy online high spenders or frequent purchasers during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely heavy in store high spenders or frequent purchasers during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at gift stores (e.g. Harry & David) during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers at dept. stores (e.g. Kohl's, Macy's) during holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders or frequent purchasers at dept. stores (e.g. Kohl's, Macy's) during the holidays. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers that use coupons or shop during sales during holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders or frequent purchasers that use coupons or shop during sales during the holidays. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of consumer electronics during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at children's stores during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers on Black Friday/Cyber Monday. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers at big box stores (e.g. Costco, Sam's Club) on Black Fri/Cyber Mon. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers at Walmart during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders or frequent purchasers at Walmart during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers at Sam's Club during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders or frequent purchasers at Sam's Club during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers at Costco during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely in store high spenders or frequent purchasers at Costco during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely online high spenders or frequent purchasers at Amazon during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.

Likely high spenders or frequent purchasers of apparel/clothing during the holiday season. Based on combination of known credit/debit transactions and advanced modeling to ensure the highest propensity to purchase in the future.