Case Study: Qeeq achieves dramatically reduced chargeback and decline rates with Forter

Fraud Management Helps Qeeq Go the Extra Mile for Its Customers

Qeeq, an online rental-car platform serving more than five million customers across 200+ countries, faced a high chargeback rate and the risk of being placed on card issuers’ monitoring programs because it relied on limited transaction-authentication data. Wanting to avoid manual reviews and score-interpretation, Qeeq partnered with Forter to deploy an AI- and machine learning–driven, real-time fraud prevention and decisioning solution.

Forter delivered a tailored, identity-based fraud prevention program—combining machine learning, real-time decisioning, fraud experts, and dedicated account management—that cut Qeeq’s decline rate by 200% and reduced chargebacks to under 0.3%. As a result, Forter removed monitoring-program risk, improved approval rates and the customer experience, and enabled Qeeq to scale and focus on expanding member benefits.

Qeeq

Larry Luo

Chief Executive Officer