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.

搜集汇总

背景与挑战

背景概述

该数据集由Cybersyn提供，基于美国金融机构的匿名信用卡和借记卡交易数据，生成了覆盖1万家公司的消费者支出估计值。它包含销售额、交易量等关键指标，并可按公司、行业、人口统计、消费渠道和地理层级进行细分，数据聚合至周、月等时间周期。