Case Study: Largest Mobile eCommerce Company achieves mobile fraud containment and revenue growth with Fraud.net

Largest Mobile eCommerce Company - Customer Case Study

Largest Mobile eCommerce Company faced rapidly growing mobile commerce and the attendant fraud risks: mobile shoppers place 37% larger average orders and a small subset of users account for 95% of mobile data consumption, making phone numbers both valuable identifiers and potential fraud vectors. To address these challenges, the company engaged Fraud.net to secure its mobile channel using device fingerprinting, behavioral biometrics, data enrichment and deep‑learning models.

Fraud.net implemented a combined solution—device fingerprinting, behavioral biometric profiling, data enrichment and deep‑learning fraud models—that detects anomalous in‑session patterns and triggers step‑up authentication when needed. This deployment allowed the Largest Mobile eCommerce Company to contain mobile fraud while the channel grows, protecting higher‑value mobile transactions and concentrating controls on the small cohort driving most mobile activity.