Consumer Data Insights – Transactional Data – 2020 

Epsilon is an industry leader in transactional data for marketing.  Purchase data is the best indicator of future buying behavior. Epsilon’s Consumer Data Insights – Transactional Data – 2020 includes spending behavior at the Category, Sub-Category, and Brand level on over 900 specific brands.  This highly predictive purchase data is sourced from non-cash transaction data exclusively available through Epsilon. This dataset encompasses non-cash consumer transactions across key industries. Data is aggregated at the neighborhood ZIP+4 level to allow for detailed analysis at the most discreet level of geography.  Use this data for smarter market segmentation, target audience definition, modeling and business portfolio analysis. 

 

This robust dataset includes the following transactional data:

  • Encompasses 27 Billion transactions and $1.6 Trillion in non-cash consumer transactions across key industries.
  • Aggregated across 12 months by geography and reported at the overall, category (11), sub-category (67), and merchant levels (900+ merchants).

Transactional Data - Category Data (11 Categories):

  • Automotive
  • Communications Service Providers
  • Education
  • Entertainment
  • Financial Services
  • Food-Convenience-Drug Store
  • Other Retail
  • Retail
  • Restaurant
  • Services
  • Travel

Sub-Category Data (67 Sub-Categories):

  • Airline
  • Amusement Parks
  • Apparel
  • Auto Dealer
  • Auto Parts
  • Auto Services
  • Beauty Stores
  • Book Stores
  • Bridal Stores
  • Car Rental
  • Casino
  • Casual Dining
  • Convenience Stores
  • Craft Stores
  • Credit Scores
  • Cruise Lines
  • Daily Deals Sites
  • Department Stores
  • Discount Stores
  • Drug Stores
  • Education
  • Electronics
  • Fast Casual
  • Fine Dining
  • Food Delivery
  • Furniture Stores
  • Gas Station
  • Gift Stores
  • Health Clubs-Programs
  • Home Furnishing Stores
  • Home Improvement
  • Home Services
  • Hotels
  • Insurance
  • Investment
  • Jewelry Stores
  • Kid Stores
  • Lease-to-Own
  • Logistics
  • Luggage Stores
  • Management Tools-Tax
  • Mass Merchandiser
  • Membership
  • Movies
  • Music Stores
  • News-Magazines
  • Not for Profit
  • Office Supplies
  • Online Merchandise
  • Optical Stores
  • Pet Stores
  • Plus Size
  • Quick Serve
  • Ride Sharing
  • Satellite-Cable-Telecom
  • Shoe Stores
  • Software
  • Sporting Goods
  • Streaming Music on Demand (SMOD)
  • Streaming Video on Demand (SVOD)
  • Supermarkets
  • Tickets
  • Travel Services
  • Video-PC Game Stores
  • Warehouse Clubs
  • Wine and Liquor
  • Wireless

Merchant-Level Data (900+ Merchants)

900+ merchants in the US Market.  Contact us for more information on specific brands.

 

 

File Layout

 

Data Dictionary

 

 

Contact us now for more information

Snowflake_Support@epsilon.com

 

 

Privacy Policy

Epsilon Consumer Privacy Center

This Epsilon product on SnowFlake Data Exchange contains aggregated data with no personally identifiable information.  The data is aggregated at the Zip+4 (postal zip code concatenated with 4-digit zip extension) level by summing or averaging data across the geography.  Aggregated data cannot be linked back to personally identifiable information.

 


 

Consumer Data Insights – Premium - 2020 

Epsilon believes in the value of data. We’ve spent decades building our data assets and we manage the industry’s top-ranked consumer database, with coverage of every marketable U.S. household.  Consumer Data Insights – 2020 – Premium is a marketing data file with 400+ elements providing demographic, financial, lifestyle, and propensity models describing U.S. consumers.  Data is aggregated at the neighborhood ZIP+4 level to allow for detailed analysis at the most discreet level of geography.  Use this data for smarter market segmentation, target audience definition, modeling and business portfolio analysis. 

This robust dataset includes:

Demographics:

Data elements that identify the key demographics of households including age, number of people in household, presence of children, marital status, occupation, etc.

Finances:

Data elements that identify household income, financial resources, and home value indicators.

Lifestyles:

120+ variables identifying consumer hobbies, interests and lifestyles to broaden consumer understanding including: hobbies and interests, purchase characteristics, reading habits, charitable donations, pet ownership, music interests, travel habits, nutrition and diet preferences, sports participation, and much more.

Niches 5.0:

Niches 5.0 is a clustering system that segments every household within the TotalSource Plus® consumer database into 26 distinct groups based on demographic, geographic, lifestyles, interests and behaviors.

Propensity Models:

Our suite of 240+ industry-specific propensity models to identify audiences likely to engage, purchase or consume specific products and services.

  • Automotive (6 Fields) - Auto Warranty Purchasers, New Luxury Vehicle Purchasers, Public Transportation Users, Vehicle DIYers and more.
  • Consumer packaged goods (67 Fields) – including Convenience Cooks, Organic Food Purchasers, Master Cooks, Private Label Shoppers, Walmart Enthusiasts and more.
  • Dining (18 Fields) – including Coffee Enthusiasts, Catering Customers, Online Delivery Customers, Restaurant Loyalists, and more.
  • Finance (45 Fields) – including 401k Owners, Frequent ATM Customers, Likely to Use an Investment Broker, Second Homeowners, Low Interest Credit Card Users and more.
  • Insurance & Healthcare (29 Fields) – including Auto Insurance – Agent Sold, Pet Insurance Purchasers, Term Life Buyers, Medicare Supplement Insurance Purchasers and more.
  • Media & Technology (29 Fields) – including Smart Home Customers, Early Adopters, Frequent Online Movie Viewers, Gamers, Socially Active on Facebook and more.
  • Not for Profit (15 Fields) – including Environmental Donors, Likely Voters, High-Dollar Donors, Veterans Donors and more.
  • Retail (22 Fields) – including Amazon Prime Customers, Bargain Shoppers, Fresh Food Delivery Consumers, Men’s Big & Tall Apparel Customers, Restaurant App Users and more.
  • Travel & Leisure (10 Fields) – including Likely Cruisers, Airline Upgraders, Timeshare Owners, Casino Gamers, Hotel Loyalty Program Members and more.
  • Other Markets (34 Fields) – a wide variety of data including Diet-Conscious Households, Soccer Enthusiasts, Do It Yourselfers, Live Music Concert Attendees, Yoga/Pilates Enthusiasts and more.

 

File Layout

 

Data Dictionary

 

 

Contact us now for more information

Snowflake_Support@epsilon.com

 

 

Privacy Policy

Epsilon Consumer Privacy Center 

This Epsilon product on SnowFlake Data Exchange contains aggregated data with no personally identifiable information.  The data is aggregated at the Zip+4 (postal zip code concatenated with 4-digit zip extension) level by summing or averaging data across the geography.  Aggregated data cannot be linked back to personally identifiable information.