Case Study: TurboTenant boosts fraud prevention automation with SEON

A SEON Case Study

Preview of the TurboTenant Case Study

TurboTenant Enhances Fraud Prevention with SEON, Boosting Automation by Over 300 Percent and Improving Efficiency

TurboTenant, a real estate software platform for DIY landlords and investors, needed a better way to handle growing fraud challenges such as syndication fraud, fake listings, and high-risk transactions. Its small fraud team was overwhelmed by about 7,000 manual reviews per month, limited data, and too many false positives, making it difficult to scale without hurting the user experience.

TurboTenant selected SEON’s fraud prevention platform for deeper data insights, easier rule creation, and stronger automation. With SEON, automated fraud decisions rose from 10–20% to about 70%, and TurboTenant went live in just two weeks. The team gained clearer fraud scoring, faster resolution, and more time to focus on proactive security, with plans to fully automate syndication fraud detection.


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TurboTenant

Eric Taylor

Trust and Safety Team Lead


SEON

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