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Check every receipt image, data field and submission pattern before a payout or reward is issued.
Snipp's receipt fraud prevention software applies five additive layers of fraud checks to receipt submissions, on a platform that has validated 1B+ transactions to date.
Snipp's receipt fraud prevention software helps protect program integrity, reduce fraudulent payouts and safeguard brand integrity through 5 additive layers of fraud checks: activation, behavioural, image, data and manual review. Snipp automatically detects and blocks duplicate receipt submissions, while flagging anomalies and suspicious patterns for further investigation and blocking those confirmed as fraudulent before a payout or reward is issued. Snipp has validated 1B+ transactions to date.
Snipp's receipt validation applies AI-powered fraud controls in five additive layers: activation, behavioral, image, data and manual checks. Based on the program's risk profile and requirements Snipp's fraud detection and prevention assesses fraud at multiple stages of the participant experience and multiple levels of the technology stack.
Snipp's receipt validation uses receipt fingerprinting and anomaly detection to identify duplicate, manipulated or suspicious submissions. Validation checks can assess receipt images, transaction data and purchase details, including indicators such as image alterations, reused submissions and inconsistencies within submitted transaction records. These controls support both physical and digital receipt workflows. Data checks compare the store's receipt format with the submitted elements and receipt barcodes with their metadata. Potentially fraudulent submissions are flagged and, where fraud is confirmed, blocked before a payout or reward is issued.
Snipp's receipt validation applies fraud controls to purchase and non-purchase qualifying actions alike. Behavioral checks compare each participant's activity, submissions and redemption patterns with program averages. A program that rewards registration, UGC, survey responses or image and photo submissions carries the same layered protection as one that rewards a purchase.
Snipp's validation and rules engine checks each submission against the program's eligibility rules before a payout or reward is issued. Rules cover SKU, spend, quantity and frequency thresholds, date windows, retailers and locations. The same rules apply to single purchases, unit counts and cumulative activity over a defined period.
Snipp's receipt validation lets a brand raise or lower the level of fraud control to match the campaign objective and brand risk profile. Activation checks include IP checks, rate limiting, Captcha and two-factor authentication (2FA) and are client-controlled where Snipp APIs are in use.
Snipp's receipt validation processes each receipt image to identify the retailer, transaction details, items, products, quantities and pricing. Machine learning maps retailer-specific receipt data using a product and retail taxonomy developed and refined over more than ten years. Validated receipts that carry line-item detail give SKU-level attribution of the qualified purchase to the brand across every distributor or retailer.
Nestlé Purina uses Snipp's receipt validation platform to power a points-based loyalty program where consumers submit receipts for purchases across several product categories: pet food, treats, supplements and litter products. The program combines API integration, fraud detection, and basket-level purchase data extraction and analysis.
A brand should look for receipt validation that layers several kinds of fraud check and route cases requiring further investigation to human review. Snipp's receipt validation is built around four criteria a brand can test any provider against:
Snipp's fraud controls cover purchase and non-purchase qualifying actions alike. A brand running both kinds of activations in one program needs the same level of checks on each. Brands comparing providers can ask each one to document its fraud checks layer by layer.
Snipp's receipt validation applies its fraud controls whichever route a participant uses to submit a receipt. Participants submit by SMS or MMS, web, app or email. Snipp accepts single receipts or in batch by API.
Snipp validates paper receipts, e-receipts, e-commerce receipts and image and photo submissions, alongside non-purchase qualifying actions such as registration, UGC, and surveys. Image checks and data checks run on the receipt itself rather than on the route it arrived by.
Danone launched a retailer-specific digital punchcard program on Snipp's receipt validation platform, allowing consumers to submit receipts via SMS, email or web. The program aimed to drive portfolio sales at the specific retailer.
Snipp's receipt validation limits false approvals by combining automated checks with human review. Image, data and behavioral checks identify suspicious submissions. Clear fraud signals can trigger automatic rejection, while ambiguous cases can be escalated for manual review. Snipp also checks a percentage of user records on the fly.
Eligibility sits in Snipp's validation and rules engine. Brands configure rules on SKU, spend, quantity and frequency thresholds, date windows, retailers and locations. The engine applies the relevant eligibility rules to purchase and non-purchase qualifying actions within the same program
Taxonomy resolution lets eligibility rules recognize a product across retail banners. Snipp's taxonomy, built over 10 years of machine learning, maps each retailer's own product string to a standardized product record One product therefore reads as the same SKU across every retail banner that sells it. Snipp's validation runs at near-100% accuracy.
Snipp's receipt validation with AI powered OCR technology processes crumpled or long receipts submitted and can identify the retailer, transaction details, items, products, quantities and pricing. Long receipts can be submitted in parts by participants. Image checks then run error analysis on the receipt image. Fraudulent claims can be automatically blocked, while cases requiring further investigation are routed to human review.
Snipp supports multilingual and multi-currency validation across 80+ markets globally. Data checks compare each store's receipt format with the elements submitted. Snipp has optimized its receipt engine over 10 years.
Snipp's receipt validation supports claims built from several transactions. Fraud controls apply to every receipt in the claim. Cumulative logic validates spend, quantity and frequency thresholds, unit counts or cumulative activity over a defined period.
Snipp's fraud controls detect and block duplicate receipt submissions, while also flagging anomalies and suspicious patterns for further investigation and blocking those confirmed as fraudulent before a payout or reward is issued. Behavioral checks also compare a participant's submissions with the program average.
Danone used Snipp's receipt validation for a promotion for Activia that combined gift-with-purchase and instant-win mechanics. Consumers qualified by spending $15 on Activia products over a 14-day period, with purchases accumulated across one or multiple receipts. The promotion was designed to drive repeat purchases over defined period.
Snipp's receipt validation lets a brand decide how many participant-facing fraud steps a program carries. Participant-facing checks such as Captcha and 2FA sit in the activation layer. The activation layer is client-controlled where Snipp APIs are in use. The fraud control measures post the activation stage do not impact the user experience.
Snipp controlls the image checks f and behavioral checks analyze submission, activity and redemption patterns against program averages. Data checks compare the store's receipt format with the elements submitted. A brand sets the overall level of fraud control to the campaign objective and can raise or lower it to its own requirements.
Snipp's fraud controls protect the program budget and integrity. Without activation checks, fraud runs higher.
Receipt fraud prevention is one capability inside Snipp's receipt processing platform for capture, extraction, validation and fraud controls across retailers.
Snipp scopes receipt fraud prevention around retailers, submission routes, activities and fraud risk a program carries.