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SKU-Level Email Receipt Data from 2M+ Users

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Databricks2024-05-09 收录
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https://marketplace.databricks.com/details/5f58d5a9-69fc-4de3-9840-8ef05bb2c9a2/YipitData_SKU-Level-Email-Receipt-Data-from-2M+-Users
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**Overview** YipitData analyzes billions of data points daily to provide accurate, granular insights. Over 480 investment funds and innovative companies rely on us to help them make better business decisions. We collect real-time SKU-level email receipt data from over 2 million user inboxes, providing comprehensive coverage and granular details for over 2,000 merchants. With a strong historical data repository since 2017 and a large user base, our data empowers users to make informed decisions based on accurate and up-to-date consumer transaction information. Sourced from over a billion raw transaction e-receipts, capturing $2B+ in monthly spend. Our data empowers you to uncover valuable insights for informed decision-making. **Sample Data Feeds Available:** - US and UK Email Receipt Purchase Data - Subscription Data **Sample Fields Included:** *Data Dictionary Available Upon Request* - Date - Merchant Name - Item Description - Item Metrics (Item Price, Item Quantity) - Order Metrics (Order Total, Order Subtotal, Order Discount, Order - Fee, Order Tax, Order Tip) - Demographics (Age, Income, Gender, Zip Code) **Example Use Cases:** - Obtain a comprehensive understanding of the market landscape by identifying key players and monitoring market share fluctuations. Identify emerging competitors and stay ahead of the competition. - Analyze the breakdown of pricing components, including subtotal, delivery, tax, and fees, to optimize pricing strategies. - Gain insights into item-level information, distinguish between carry-out and delivery orders, identify top-performing merchants, understand sales channel effectiveness, and uncover geographic trends. - This detailed information allows you to make data-informed decisions, target specific markets, and maximize your business potential. - Leverage email receipt data to gain insights into how consumers concentrate their spending within a particular category, while also measuring customer loyalty through retention and migration analysis.
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