Epsilon: Consumer Data Insights

US Consumer non-cash transactional data on over 900 brands and household data including demographic, financial, lifestyle, and propensity models.

Consumer Data Insights – Premium – 2020
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.

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.
Consumer Data Insights – Transactional Data – 2020
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):

  • Merchant-Level Data (900+ Merchants)
  • 900+ merchants in the US Market. Contact us for more information on specific brands.

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