Company
Industry
Real estate software
Use Cases
Automation
Syndication fraud
About TurboTenant
TurboTenant is a leading all-in-one property management platform that allows DIY landlords and real estate investors to professionalize their real estate businesses and increase tenant satisfaction. With TurboTenant, landlords market properties to dozens of top listing sites, generate leads and applications in one place, create state-specific lease agreements, and collect rent online. As its user base expanded, the company faced a growing need to enhance fraud detection processes without disrupting the seamless experience for legitimate users.
Challenge
As TurboTenant scaled, it encountered significant fraud challenges, including syndication fraud and fake listings. With just a small team handling fraud detection, the increasing volume of suspicious transactions quickly became unmanageable. Fraud originating from high-risk regions added further complexity, stretching the team’s resources thin.
Previously, TurboTenant’s fraud prevention solution automated only a small portion of fraud cases (about 20%), leaving the team buried in manual reviews; they needed quicker response and resolution times than they were getting from their previous provider. This amounted to 7,000 manual reviews per month and many false positives. The limited data (i.e., no digital footprint analysis) available made it difficult to assess fraud risk effectively, particularly in analyzing user behaviors such as the velocity of listing creation after signup. Recognizing the need for a more scalable and efficient solution, TurboTenant sought a system that could provide deeper insights, easier rule creation, clarity on what rules were triggered and why, and greater automation to combat these challenges.
Solution
After evaluating several fraud detection solutions, TurboTenant selected SEON for its advanced data insights, flexibility, and robust self-serve and automation capabilities. SEON’s ability to track user behavior with greater precision, such as measuring the speed at which listings are created after signup, was crucial in detecting fraudulent activity more accurately. This enhanced visibility allowed TurboTenant to spot and block fraud faster.
With SEON in place, automation rates improved significantly. Fraud detection decisions increased from 10-20% under the previous system to approximately 70%. SEON’s responsive support also played a critical role in ensuring a smooth transition, enabling TurboTenant to go live within a two week period and begin automating fraud detection tasks. This allowed the team to allocate more resources to proactive security measures and improve the user experience for legitimate landlords and tenants.
“Thanks to SEON, we have confidence in each fraud score and a clear understanding of how it’s determined. Creating rules is now effortless, giving us greater flexibility,” said Eric Taylor, Trust and Safety Team Lead, TurboTenant. “We’re excited about how this partnership makes us more agile and look forward to measuring the impact—it’s already significant after just six months being live.”
Eric Taylor, Trust and Safety Team Lead, TurboTenant
Results
By automating much of the fraud detection process with SEON, TurboTenant has been able to reclaim valuable time and resources. This efficiency has enabled the team to focus on developing new fraud prevention rules that reduce friction for good landlords while tightening defenses against fraudulent activities. Looking ahead, TurboTenant plans to fully automate syndication fraud detection, further streamlining operations.
Additionally, the increased automation has given the team more time to analyze fraud patterns and stay ahead of emerging threats. By shifting to a more proactive fraud management approach, TurboTenant is well-positioned to handle future growth without sacrificing security or user experience.
