Facteus

Retail Competition: Retailers usually have a solid grasp of their own data. However, they know less about their competition’s. Retailers are willing to pay for a market share analysis or competitive insight (using synthetic data) of average transactions (over time) or percentage of online vs off-line transactions.

Commercial Real Estate: Potential buyers of retail shopping areas (i.e. shopping mall, strip malls) are interested in not only the population growth trends and foot traffic that surrounds these locations, but more importantly, the transaction frequency and history of consumers in these areas. These investors are willing to pay for transaction trend data that shows growth or decline in # of transactions or transaction amounts in certain shopping areas.

Investment Firms: Investors looking for growth trends in transactions across time, industries, or geographies

Facteus provides transaction data sourced directly from financial institutions and payments companies. We synthesize and aggregate the data to remove any Personally Identifiable Information (PII) while maintaining its statistical relevance. Using proprietary tagging methodologies, billions of transactions are attributed to specific companies and stock tickers and additional data elements such as acquisition date cohorts are added for deeper analysis.

Facteus’ data products come from our direct partnerships
with over 1,000 financial institutions and includes Facteus’ proprietary data enhancements such as the tagging of more than 1,600 merchants at an accuracy rate of 99.79%. Merchant descriptions change over time and there are tens of thousands of merchants in the U.S., so the suite is consistently updated with new merchants. Monthly updates of the latest tagging data include a retroactive refresh of all historical transactions and enhancements to merchants already being tagged.
Other key benefits include:

• Well-balanced panel that includes Debit, Payroll, and General
  Purpose Reloadable Debit Cards (GPR) that represent the largest
  and fastest growing payment types in the card ecosystem.
• The deepest level of granularity on data fields and payments types
  in the market
• Well-balanced geographic, age, and income distribution
• Insight into Millennial, Gen Z, and the Underbanked market segments
  that are underrepresented in other transaction data sets
• Protects consumer privacy while enabling more flexible analysis of
  safe data

As data privacy laws and regulations such as GDPR, CCPA, and GLBA crowd the industry landscape, Facteus’ Synthetic Data methodology helps keep client data safe and compliant