Fraud.net
43 Case Studies
A Fraud.net Case Study
Tinka, a buy‑now‑pay‑later payment processor serving major eCommerce merchants, was facing rising fraud—especially account takeovers—and high first‑payment defaults that strained resources and compliance. To get a scalable, automated solution with flexible case management, Tinka turned to Fraud.net’s advanced fraud detection models, customizable rules, real‑time scoring and analytics, and an improved UI for investigations.
Fraud.net implemented customized models to segment transactions by risk, automate reviews and continuously tune rules, delivering real‑time scoring and streamlined case management. As a result, Fraud.net helped Tinka reduce account takeovers by 90% (in eight months), cut first‑payment defaults by 82%, lower overall fraud by 73%, increase approvals from 99% to 99.71%, and save about $15,980 per day.
Nick Pinto
Fraud and Risk Manager