Case Study: Global Online Marketplace achieves 88% pre-scam detection and stops mass registrations and fake listings with DataVisor

DataVisor Enables Top Online Marketplace to Defeat Mass Registrations and Fake Listings

Global Online Marketplace, a platform operating in 40+ countries with over 350 million monthly active users, was hit by mass-registered accounts that incubated and then launched coordinated fake listings and scams. Their existing tools could not link cross-account behavior or analyze unstructured content, so they engaged DataVisor to stop mass registrations and large-scale fake listings using DataVisor’s unsupervised detection solutions (UML engine) and Global Intelligence Network.

DataVisor deployed an unsupervised ML engine and GIN to analyze structured and unstructured data across accounts, uncover coordinated clusters at registration, and flag scam content and sleeper cells. The result: 88% of fraudulent accounts caught before the first scam, auto-action on over 65% of detections, 68k+ accounts identified in the largest fraud ring, and a >20% improvement in detection accuracy—enabling proactive, faster prevention of mass registrations and fake listings.