Case Study: Etix achieves $15K in prevented fraud and 75% reduction in manual review with Sift

Keeping fraudulent ticket buyers off the platform

Etix, the largest independent ticketing company in North America, sells 50 million tickets a year through a global platform that serves millions of monthly users. As online sales scaled, organized fraud and chargebacks grew, overwhelming analysts and making manual review unsustainable while risking poor experiences for legitimate buyers.

Etix implemented Sift’s machine-learning fraud solution (one engineer completed integration in three weeks) to automate risk scoring and auto-reject rules. The platform blocked $15,000 in risky orders in the first week, cut manual review by 75%, improved true positive detection, and helped Etix protect venues and smooth the purchase experience for real fans.

Etix

Mandi Grimm

Director of Training