Consumer Purchase & Rewards Insights

The Data

This dataset provides granular insights into consumer purchases by capturing SKU-level details from scanned and linked receipts. By tracking specific products, transaction frequency, and user engagement across loyalty programs, businesses can refine marketing strategies and enhance customer personalization.

What’s inside

These are just the highlights we've pulled out. If you think there could be a fit, let us know and we'll introduce you directly to the vendor for trial access.

• SKU-Level Purchase Data: Detailed insights into exact products purchased, including brand, category, and size.

• Receipt Transaction History: Tracks purchase frequency, total price, and merchant details.

• User Demographics & Preferences: Enriched data with age, location, income range, and purchase behaviors.

• Loyalty & Rewards Engagement: Analysis of redemption history and participation across loyalty programs.

• Size & Scale:

  • 1.3 million U.S. users

  • 7.7 million products tracked

  • High engagement across grocery, food, household, beauty, pet, personal care, health, and beverages

  • 71% of users aged 25-44

  • 52% of users earning $25-60k annually

Example Use Cases

Here are a few popular examples to spark ideas. If you'd like a sounding board or help building a specific use case, ask to speak with our data team.

• Retail & CPG Product Performance: Analyze SKU-level purchase data to track brand performance and optimize product placement.

• AI-Driven Personalized Marketing: Build machine learning models to target customers with relevant promotions based on purchase behavior.

• Hedge Fund Consumer Spending Trends: Use product-level insights to forecast demand trends and market shifts.

• Loyalty & Rewards Program Optimization: Enhance user engagement by analyzing redemption patterns and preferred reward categories.

• Geo-Targeted Advertising & Market Expansion: Identify high-value customers by location to optimize regional marketing campaigns.

The Source

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