Case Study: Libertex Group achieves 45% chargeback reduction and 20% fewer manual reviews with SEON

Global Forex Trading Platform Slashes Chargeback Rates By 45% With No Extra Friction

Libertex Group, a multinational online trading platform serving 2.2M clients across 40 countries, was struggling with high fraud risk from card deposits and risky markets and relied on a limited device-fingerprinting tool that produced many manual reviews and customer delays. To strengthen its fraud stack without disrupting uptime, Libertex chose SEON’s fraud prevention platform—leveraging data enrichment, a microtransaction model and a machine‑learning engine—to augment its existing tools.

SEON integrated quickly and unobtrusively, providing near‑instant risk scoring, richer phone-number and transaction signals, and ML‑trained rules that reduced friction for legitimate users. As a result, SEON helped Libertex cut chargebacks by 45% and reduce manual reviews by 20%, while maintaining smooth customer onboarding and platform performance.

Libertex Group

Luca Giancola

Head of Risk