Case Study: Top U.S.-based online reviews platform stops 10,000+ fake reviews/day and detects 2,000+ fraud accounts at registration with DataVisor

Leading Review Platform Relies on DataVisor to Maintain a Trustworthy and Safe Digital Environment

Top US-Based Online Reviews Platform, which aggregates over 170 million reviews, was suffering financial and reputational losses and rising compliance risk from massive volumes of fake reviews and coordinated spam that content-based systems missed. To stop sophisticated, large-scale and “mom-and-pop” fraud campaigns that stayed live for weeks, the company engaged DataVisor and deployed DataVisor’s unsupervised machine learning solutions and Global Intelligence Network.

DataVisor analyzed digital signals and cross-account linkages to detect suspicious clusters—even at account registration—using its UML engine, supervised models and GIN-enriched scoring delivered in real time. The deployment prevented 10,000+ fake reviews/ratings per day, caught 2,000+ fraud accounts at creation daily and achieved >80% spam coverage, materially reducing exposure and protecting the platform’s trust and revenue.