Snipp Blog

Why Receipt Data Is Key To Understanding Shopper Behavior in 2025

Written by Snipp | Sep 11, 2025 3:00:00 PM

Turning Receipts Into Results. Data, Attribution & Insights

The simple store receipt is one of the most powerful marketing tools a brand has at their disposal. Receipts contain a wealth of incomparable data on shopping habits, product, and retailers, and tracking purchases receipts is one of the best proof-of-purchase mechanisms for both one-off promotions and loyalty programs. Receipts have also become a game-changer for any purchase based activation as it provides a universal and frictionless way to capture real, verified purchase data across all retailers without requiring complex POS integrations or retailer-specific partnerships. 

This makes receipts an unrivaled source of 100% attribution as receipt scanning data ties actual spend directly to a campaign, promotion, or loyalty initiative, with full visibility into retailer, product, and shopper. Brands can see the real impact of marketing efforts on sales, validate redemptions with certainty, and even uncover cross-purchase patterns that inform future strategy.

Let’s dive deeper into the data you can get from receipt processing, receipt analysis techniques and how it can shape your marketing strategy.

Download the full infographic here 

HOW CAN YOU ACTIVATE CONSUMERS & COLLECT RECEIPT DATA?

Activate Users In Any Channel...

  • Online
  • At Home
  • Magazines
  • In app
  • TV / Radio
  • Social
  • Text
  • Email

Any Program type

Validate any Purchase or Non-Purchase Transaction (to enhance your purchase data!)​

Using Receipt processing, you can validate multiple types of transactions

Purchase

  • ePOS Integration
  • Receipt / Pin-on-Pack
  • Purchase Order / Invoice/ Delivery order 

Non - Purchase

  • Packaging

  • Selfie

  • Image

  • Survey

  • Review

  • Social

  • Custom

WHAT KIND OF DATA CAN YOU GET FROM A RECEIPT?

  • Geography - State, city zip code
  • Individual Products & Combinations Purchased
  • Quantity Purchased
  • Minimum Spend - on total receipt or specific products
  • Retailer - retailer specific channel promotions

  • Purchase Dates & Times

  • Brand/s purchased

  • Repeat Purchase - by quantity or spend

WHAT KIND OF ANALYSIS CAN YOU DO WITH THIS DATA?

  • Receipt Count By Store - see where most of your consumers shop
  • Share of Basket - discover the other products your consumers are buying outside of your brand, each shopping trip
  • Receipt Count By Day - find out the most popular times your consumers prefer to shop

  • Average Receipt Amount By Store - see which retailers your consumers spend the most money at

  • Receipt Per Member By Store - find out which retailers drive the most brand program engagement

  • Receipts Per Member By Geography ( Including Average Receipt Amount by Geography)

  • Full Basket Analysis of Each Consumer’s Shopping Trip - Products purchased, competitors, brand names, category analysis, basket size, behaviors, and prices.

    1. Brand & Category Level Shopping Data: Find out where, when and how your customers are shopping.
    2. Spend: See what percentage of basket spend your products represent and get total spend per receipt data.
    3. Competition: Learn what competitive products and brands your customers are purchasing.
    4. Retailer Breakdown: Understand how the above metrics and insights differ amongst various retailers.
    5. Personalization & Segmentation: Derive insights to enable customer segmentation down to an individual level, to influence shopping behavior.

WHAT KIND OF STRATEGIES CAN BE SHAPED FROM THIS DATA?

  • Targeting different demographics based on geography or basket analysis
  • Providing more support to particular retailers to drive sales and engagement
  • Executing cross-portfolio programs to increase basket size
  • Undertaking account-specific instead of national programs

  • Creating limited time offers around certain calendar periods, days of the week, or even times of the day

  • Understand the competitive shopping landscape, to combat the competition and find partnership & coalition opportunities 

  • Develop re-targeting programs for future CRM activities 

 
 

SnippCheck, our market-leading, retailer-agnostic receipt processing and transaction validation platform, powers programs that engage consumers across the path to purchase - in-store, at home, and online. It powers scalable promotions and loyalty programs while delivering 100% attribution, tying verified spend directly to campaigns, products, and retailers. With basket-level insights and unified first-party data, SnippCheck gives brands a true single customer view to drive smarter marketing decisions.

To consult with one of our experts on a specific promotion or activation,  contact us by clicking here.

 

Frequently Asked Questions About Receipt Data

1. What is Receipt Data?

Receipt data is information present on a receipt, obtained post a purchase or transaction. It includes details such as the retailer / store, location, date and time of the transaction along with the items bought, quantity, prices, any applicable taxes or discounts, and the total amount paid.  

2. How is Receipt Data collected?

Receipt data is captured through receipt scanning and OCR (optical character recognition) technology. OCR recognizes letters and numbers within a digital image (such as photo of a receipt or invoice) and ‘reads’ the image to produce editable and searchable text. Consumers upload a photo of their paper or digital receipt as part of a promotion, rebate, or loyalty program. AI-powered receipt processing technology then extracts and structures the information into usable data.

3. What data and insights can brands learn from Receipt Data?

Receipt data provides a complete and unbiased view of consumer purchases across retailers and channels. It shows what was actually bought, when, and where, helping brands measure sales, campaign effectiveness, and understand shopper behavior.

  • Basket composition (what products are bought together)

  • Price sensitivity and promotion response

  • Share of wallet vs. competitors

  • Cross-retailer purchase trends

  • Frequency and recency of purchases

4. How does Receipt Data help with marketing attribution?

Unlike media metrics (impressions, clicks), receipt data provides 100% attribution by tying a specific marketing campaign to an actual in-store or online purchase. This helps close the gap between digital engagement and offline sales.

5. Is Receipt Data accurate and compliant?

Receipt data is based on real purchase proof, and is therefore one of the most accurate and reliable forms of first-party purchase data. Advanced fraud detection ensures accuracy by validating retailer details, timestamps, and line items. Receipt data solutions are designed to comply with GDPR, CCPA, and other privacy laws.