Experian Mobile Location Models Segments

Consumers likely to be Summer Break travelers. This predictive model is based on statistical analysis of mobile devices that visited airports, hotels and car rentals locations between mid-June through mid-July.

Consumers likely to be Memorial Day shoppers. Based on statistical analysis of mobile devices that visited retail store locations such as department, discount, furniture and electronic stores between late-May through end of May.

Consumers likely to be 4th of July travelers. This predictive model is based on statistical analysis of mobile devices that visited airports, hotels and car rentals locations between late-June through early-July.

Consumers likely to be 4th of July shoppers. Based on statistical analysis of mobile devices that visited any retail store locations such as Department stores, Discount stores, Furniture stores and Electronic stores late-June through early July.

Consumers likely to be shoppers for Fathers Day gifts. Based on statistical analysis of mobile devices that visited retail store during the 2 weeks prior to Fathers day (including Fathers day) from prior year.

Consumers likely to be shoppers for Mothers Day gifts. Based on statistical analysis of mobile devices that visited retail store during the 2 weeks prior to Mothers day (including Mothers day) from prior year.

Consumers likely to be shoppers for the Easter Holiday. Based on statistical analysis of mobile devices that visited retail stores during the 2 weeks prior to the Easter Holiday (including Easter day) from prior year.

Consumers likely to be shoppers for Valentines Day gifts. Based on statistical analysis of mobile devices that visited retail stores during the 2 weeks prior to Valentines day (including Valentines day) from prior year.

Consumers likely to be outlet mall visitors. Based on statistical analysis of mobile devices that visited locations at least once in 90-day time frame.

Consumers likely to be gym visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. World Gym, Lifetime Fitness, LA Fitness, Planet Fitness, Anytime Fitness etc...) at least once in 90-day time frame.

Consumers likely to be coffee store visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. Dunkin Donuts, Starbucks, Peets etc...) at least once in 90-day time frame.

Consumers likely to be high-end furniture store visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. Crate & Barrel, Williams-Sonoma, West Elm, Pottery Barn etc...) at least once in 90-day time frame.

Consumers likely to be mid-low-end furniture store visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. IKEA, Rooms to Go, Ashely Furniture, American Signature etc...) at least once in 90-day time frame.

Consumers likely to be wedding registry store visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. Crate & Barrel, Williams Sonoma, Bed Bath & Beyond, Pottery Barn, etc...) at least once in 90-day time frame.

Consumers likely to be college sport venue visitors. Based on statistical analysis of mobile devices that visited locations at least once in 90-day time frame.

Consumers likely to be shoe retail store visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. Famous Footwear, DSW, Foot Locker, Lady Foot Locker etc...) at least once in 90-day time frame.

Consumers likely to be frequent mall visitors. Based on statistical analysis of mobile devices that visited locations at least once a week in 30-day time frame.

Consumers likely to be concert venue visitors. Based on statistical analysis of mobile devices that visited locations at least once in 90-day time frame.

Consumers likely to be mattress store visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. Sleep Number, LA Mattress, Mattress Firm, Slumberland, Casper etc...) at least once in 90-day time frame.

Consumers likely to be financial services visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. Wells Fargo,TD Bank, Citibank, US Bank, Regions Bank, HSBC etc...) at least once in 90-day time frame.

Consumers likely to be movie theater visitors. Based on statistical analysis of mobile devices that visited locations such (e.g. AMC Theaters, Carmike Cinema, Regal Cinema, Cinemark , Landmark etc...) at least once in 90-day time frame.

Consumers likely to be theme park visitors. Based on statistical analysis of mobile devices that locations such (e.g. Disneyworld, Disneyland, SeaWorld, Epcot, Knotts Berry Farm, LEGOLAND) at least once in 90-day time frame.

Consumers likely to be outdoor retail shoppers. Based on statistical analysis of mobile devices that visited locations such (e.g. Dicks Sporting Goods, Marmot, Moosejaw, Patagonia, REI, Title Nine) at least once in 90-day time frame.

Consumers likely to be luxury women's retail shoppers. Based on statistical analysis of mobile devices that visited locations such (e.g. Bloomingdales, Nordstrom, Macys, Saks Fifth Ave, Banana Republic) at least once in 90-day time frame.

Consumers likely to be young women's retail shoppers. Based on statistical analysis of mobile devices that visited locations such (e.g. American Eagle, Old Navy, Target, Gap, Kohls, Express, Belk) at least once in 90-day time frame.

Consumers likely to be women's retail shoppers. Based on statistical analysis of mobile devices that visited locations such (e.g. Gap, Kohls, Ross, TJ Maxx, Marshalls, Express, Levis, Belk) at least once in 90-day time frame.

Consumers likely to be sporting goods shoppers. Based on statistical analysis of mobile device visits to locations such (e.g. Bass Pro Shops, REI, Academy, Cabela's, Golfsmith, Dicks Sporting Goods, Orvis, Marmot etc...) 90-day time frame.

Consumers likely to be holiday sale shoppers. Based on statistical analysis of mobile devices that visited holiday sale locations during holiday shopping period 11/1-12/24.

Consumers likely to be Black Friday shoppers. Based on statistical analysis of mobile devices that visited Black Friday sale locations during Black Friday.

Consumers likely to be big box store visitors. Based on statistical analysis of mobile devices that visited big box store locations such (e.g. Sams Club, BJs Wholesale, Costco etc...) 90-day time frame.

Consumers likely to be jewelry store shoppers. Based on statistical analysis of mobile location data from devices.

Consumers likely to be auto store shoppers. Based on statistical analysis of mobile location data from devices.

Consumers likelihood to visit Electronics Store Shopping. Based on statistical analysis of mobile location data from devices.

Consumers likely to be hardwood floor shoppers. Based on statistical analysis of mobile location data from devices.

Consumers likely to frequently visit Quick Service Restaurants (QSR) in last 30 days. Based on statistical analysis of mobile location data from devices.