What types of fraud are common in promotions and loyalty programs?

Common fraud types include doctored or AI-generated receipts, reused proofs of purchase, synthetic identities, and reward gaming that exploits referral, cashback, or bonus point systems.

Can Snipp’s Corral be customized for unique program requirements?

Yes. Corral’s rules engine is fully customizable, allowing program managers to define fraud checks based on campaign structure, product type, reward value, or risk tolerance.

What reporting and insights does Snipp’s Corral provide?

Corral delivers a real-time fraud insights dashboard with alerts, flagged submission reports, fraud trend tracking, and submission and reward analytics to strengthen rules and improve program performance.

Leading Real-Time Fraud Prevention Solution

Q: What makes Snipp’s Corral stand out from other fraud prevention solutions?

Snipp’s Corral protects programs across the full user journey using AI-powered monitoring from registration to redemption. It offers real-time defence, configurable fraud rules, multi-channel protection, scalable infrastructure, adaptive machine learning, detailed insights, and easy integration—forming a complete fraud prevention ecosystem.

Q: Why do I need a specialized fraud management provider?

Fraud evolves quickly and can distort campaign data and erode trust. A specialist provider like Snipp brings proven technology, analytics, and expertise to protect programs while your marketing team focuses on engagement and results.

Q: How does Snipp Corral detect fraudulent activity in real time?

Corral combines image recognition, MD5 fingerprinting, EXIF metadata checks, transaction fingerprinting, and behavioural analysis to detect anomalies and block fraud before rewards are issued.

Safeguard Your Programs with CORRAL, an Advanced Anti-Fraud AI Solution to Combat Rising Fraud in Promotions, Loyalty and Receipt-based Programs

Our leading fraud prevention solution, built on 15+ years of experience, is a comprehensive system designed to detect, prevent, and mitigate various forms of fraudulent activities. Leveraging advanced algorithms, AI, machine learning, and real-time monitoring, our solution offers a proactive shield against the ever-evolving threat of fraud across multiple channels and touchpoints.

Fraud Detection Measures

Image Fraud Check

Image MD5 hash	Receipt image(s) are hashed with MD5 algorithm to generate a string ‘fingerprint’. 2 identical images/files will have the same MD5 hash. If 2 images on separate receipt transactions have the same MD5 hash, the 2nd will be marked duplicate.
TransactionID/Store/Total/Date fingerprint	TransactionID and total are combined into a single hash string. If a receipt has the same store and transaction ID with the same total as another, it will be marked duplicate.
Barcode/Store Fingerprint	If a barcode is present on a receipt, it is typically unique per receipt. Barcode and store are combined into a single hash string. If a receipt has the same barcode for the same store as another, it will be marked duplicate. This check can be turned off at a store level, in case the barcodes are not actually unique for a store.
Other fingerprints	Snipp implements many other receipt fingerprints based on the metadata available on receipts e.g. different combinations of store/date/time/user/total/skus/storeLocation etc.
Image EXIF data	If an image is received with EXIF data, the EXIF data is checked for alterations from photoshop. If photoshop alteration detected, the image will be marked fraudulent.
IP Address	IP address is checked using IPStack for TOR, VPN, or known fraud usage.
Manual Fraud Rules	Fraud rules can be manually created based on ANY receipt data field. Basic time-based limits can be set for a store and unit of time. For example, 10 retailer specific receipts per hour can be set as a rule.

Fraud Monitoring

Patterns	Algorithms as well as manual checks to observe specific pattern in any campaign . e.g. Spike in receipts from specific retailer; Sudden spike in participation when there was no scheduled marketing event etc. Manual checks for patterns in registration/mailing address etc.
Receipt spike	Alerts and manual checks to observe sudden spike in receipt volumes
Reward spike	Alerts and manual checks to observe sudden spike in rewards distributed

Fraud Prevention Measures

Email Validation - During Registration and Receipt Upload

Feature	Description	Default enabled
Email Manipulation Check	Receipt image(s) are hashed with MD5 algorithm to generate a string ‘fingerprint’. 2 identical images/files will have the same MD5 hash. If 2 images on separate receipt transactions have the same MD5 hash, the 2nd will be marked duplicate.
Email Domain Validity Check	TransactionID and total are combined into a single hash string. If a receipt has the same store and transaction ID with the same total as another, it will be marked duplicate.
Email Blacklist Check	Snipp uses an algorithm to detect email manipulation and stops user from participating.

Address Validation - During Registration

Feature	Description	Default enabled
Global Adddress Validation - Melissa	Global address validation check via Melissa Address Validation Vendor via API (Works for both Canada, USA and rest of the world)	X
Canada Post - Address Validation	Address Autocomplete feature via Canada Post Address Validation API	X
USPS - Address Validation	Validating address check via USPS Address Validation API (Only works for USA)	X

Registration Add-ons

Feature	Description	Default enabled
Rate Limiting Cookie	Implements browser-based cookies to limit request rates, enhancing security.
Honey Pot Trap	Adds hidden fields in forms to trap bots, preventing automated fraud.
Registration - IP Logging	IP Addresses are logged for every user who registers from the website.
Registration - Geo Location Logging	Geo Location is logged for every user who registers on the website.
Registration - Device Finger Printing	Device fingerprinting techniques to uniquely identify devices, enhancing fraud detection

Receipt Upload Add-on

Feature	Description	Cost	Default enabled
Receipt Upload - IP Logging	Ip Addresses are logged and tracked when receipt is uploaded from the Web upload website.	Free
Online submissions	Only accept Shipping & Delivery confirmation for Online orders	Free

Industry Standard Bot Detection Applications

Feature	Description	Default enabled
Google Captcha Ver 2.0 (Free)	This is an older version of free Google Captcha which promotes human interaction.
Google Captcha Ver 3.0 (Free)	This is newer version of free Google Captcha which works automatically without human interaction. (Invisible Captcha)
Google Captcha Enterprise Edition	Paid version of Google Captcha. Similar to Google Captcha Ver . 3 from a user interaction perspective. However, provides more flexibile configurations from a settings perspective.	X
Cloudflare Turntiles	An alternative to Google Captcha provided by Clouflare.	X

Reward Rule

Feature	Description	Default enabled
Limit Rewards from same Address	Stop sweepstakes or Rewards from being dispensed if the same address has received more than 10 rewards / sweepstakes
Limit Rewards from same IP Address	Stop sweepstakes or Rewards from being dispensed if the same IP Address has received more than 10 rewards / sweepstakes
Limit Rewards from same Name	Stop sweepstakes or Rewards from being dispensed if the same first name and last name combination has received more than 10 rewards / sweepstakes
Added step for Reward redemption	Snipp enables "Claim your reward" step for high value digital rewards instead of instant distribution about qualification. User is allowed to Claim their reward only after they pass a 2 Factor authentication	Some Exclusions

2 Factor Authentication with One Time Password

Feature	Description	Default enabled
Email 2FA	Verifies with one time Password sent to the Email Address before registration is accepted by the system.	X
SMS 2FA	Verifies with one time Password sent to the Phone Number before registration is accepted by the system. More effective that email 2FA since its easy to fake an email address v/s phone number	X

Advanced Registration Checks

Feature	Description
Location match	Does city/state/country/postal code line up with other location data (such as IP)?
HTTP headers	If part of known crawlers list (indicates bot)
Time to complete Registration form	Time (in milliseconds) to complete the registration form can indicate bot patterns