Consumer Spending Enterprise

Cybersyn's Consumer Spending Enterprise product offers a representative panel of US consumer spending with geographic granularity ranging from national to individual points of interest. This dataset includes consumer spending estimates for 10,000 companies and is based on anonymous transactions from millions of credit and debit cards across financial institutions.

**Measures Include**

- Sales ($)
- Transactions (#)
- Average order values ($)
- Customers (#)
- Customer retention rates (%)
- Year-over-year (%) revenue, transactions, average order values, and customers

**[Cybersyn Documentation](https://docs.cybersyn.com/consumer-insights/consumer-spending?utm_source=Snowflake&utm_medium=organic&utm_campaign=Snowflake)**

Visit [Cybersyn Docs](https://docs.cybersyn.com/consumer-insights/consumer-spending?utm_source=Snowflake&utm_medium=organic&utm_campaign=Snowflake) for detailed attributes including granularity, update frequency, and history. The documentation also includes an entity relationship diagram (ERD), table descriptions, sample queries, and notes & methodologies.

The data is available at the company, NAICS (North American Industry Classification System), MARTS (Advanced Monthly Retail Trade Survey) and MCC (Merchant Category Code) levels. Additionally, the data is cut by demographics including both age ranges and income brackets. Data can also be broken down by channel (offline vs. online spend) and geographies — grouped by consumer billing address and merchant location. Geographies covered include individual store locations for retailers, US zip codes within major metro areas, core-based statistical areas (CBSAs), and states. Data is aggregated to weekly, monthly and quarterly periods as well as 4-5-4 retail calendar periods.