Case Study: Kinguin reduces fraud and manual review with Ravelin Technology

How Kinguin transformed its approach to fighting fraud

Kinguin, an online marketplace for gamers, was growing quickly, with transaction volumes up 3x since 2021 and more than 17 million customers. In 2021, its fraud and risk team relied on an in-house rules engine and a large manual review team, and about 1 in 8 transactions were being sent to manual review, creating a bottleneck as the business scaled.

Ravelin Technology worked with Kinguin to introduce a custom machine learning model and shift fraud decisions toward automation. With Ravelin Technology’s support, Kinguin cut its fraud rate by 87.5%, reduced its block rate by 57%, and lowered its manual review rate by 90%, while giving analysts more time for proactive work and improving operational resilience.

Kinguin

Egemen Ertop

Head of Fraud & Risk Intelligence