Case Study: Large Mobile C2C Marketplace achieves 10x better fraud detection and 20x improved manual-review efficiency with DataVisor

Large Mobile C2C Marketplace Uses DataVisor to Create a Trustworthy and Safe Platform

Large Mobile C2C Marketplace partnered with DataVisor, using DataVisor’s fraud detection platform powered by proprietary unsupervised machine learning (UML), to protect against fake listings, spam, and account takeovers as it expanded into new regions and customer segments. The marketplace’s legacy rules-based system couldn’t keep up with sophisticated, evolving attacks and generated high volumes of false positives and operational review costs.

DataVisor integrated its platform within two weeks, performed an end-to-end risk assessment, and used holistic activity analysis to surface coordinated fraud patterns and flag malicious accounts earlier. The deployment delivered measurable impact: 90% of fake listings detected right after posting, 60% of spammers flagged within two days, a 10x increase in detection versus the legacy rules, and a 20x improvement in manual review efficiency; DataVisor also uncovered fraud rings (e.g., 1,700-account listing spam and 5,000+ ATO-compromised accounts).