SKU-Level E-Receipt Data

Sourcing E-receipt, SKU-level data extracted from email or account linking. 1M US consumer coverage required for major retailers (e.g. Amazon, Walmart, Costco, Apple, Target, Home Depot).

Estimated Data Value: $2.5 million / yr 1

Introduction: For hedge funds focused on stock prediction, access to granular consumer data is key. E-receipt data, specifically SKU-level details extracted from email receipts or account linking, provides a window into consumer purchasing patterns across major retailers like Amazon, Walmart, Costco, Apple, Target, and Home Depot. With 1 million US consumers covered, this data is invaluable for refining stock market predictions and building data-driven investment strategies.

What Data is in Demand? To improve stock prediction models, hedge funds are seeking e-receipt data with the following attributes:

  • SKU-Level Data: Item-level details from e-receipts, showing exactly what products consumers are purchasing across multiple categories.

  • Retailer-Specific Purchases: Data segmented by major retailers like Amazon, Walmart, Costco, Apple, Target, and Home Depot.

  • Consumer Behavior Patterns: Insights into purchase frequency, spending trends, and category-level analysis from a large consumer base (1M US consumers).

  • Account Linking: Data sourced via email receipts or account linking methods, providing highly reliable and detailed insights into consumer activity.

Who is Buying This Data?

  • Hedge Funds: Hedge funds focused on stock prediction are the primary buyers of SKU-level data from e-receipts. They use this data to analyze consumer behavior trends, forecast sales for major retailers, and anticipate stock market movements based on real-time consumer activity.

Why This Data is Valuable:

  • Refined Stock Prediction Models: SKU-level data allows hedge funds to integrate real-time consumer spending patterns into their models, providing a detailed view of which products and retailers are seeing the most growth.

  • Market Trend Analysis: E-receipt data provides a direct line of sight into consumer preferences, helping funds predict the performance of companies like Amazon, Walmart, and Costco based on real-world sales data.

  • Anticipating Revenue Shifts: By tracking consumer spending across key retailers, hedge funds can anticipate revenue trends and adjust their investment strategies accordingly.

Get Involved: If your company has access to e-receipt, SKU-level data from major retailers such as Amazon, Walmart, Costco, Apple, Target, and Home Depot, hedge funds specializing in stock prediction are eager to acquire this information. Let’s collaborate to deliver the data-driven insights needed to refine investment strategies and optimize stock market predictions.

1  This figure was calculated using a combination of factors that include market size, size requirements, and scarcity and is an estimated value. The value reflects the total across all potential buyers, and is not reflective of a single deal.