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The Dummy Handbook on Promo and Policy Abuse Prevention for eCommerce
What we answer in this simple handbook:
- Policy fraud 101, and how to stop it proactively
- Why friendly fraud is so relevant in digital firms
- Five steps to stop policy abuse in ecommerce
- Why abuse is difficult to detect with legacy technology
Stay one step ahead of promo abuse
Fraud experts and managers in ecommerce handle great amounts of information. With fraudsters constantly innovating and industry terminology that changes rapidly, it is important for them to have access to quick and actionable information to stay ahead in the fight against digital crime.
This handbook summarizes the issue of policy abuse, and offers information about its most important concepts, including promotion abuse, first-party fraud, friendly fraud, gift card fraud, loyalty program fraud, return fraud, false chargebacks, item-not-received fraud, false item-not-received (INR) claims, refund fraud, wardrobing fraud, and more.
About DataVisor
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.
As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.