Case Study: Cozy (rental platform) achieves major fraud reduction and protects renter payments with Sift

How Cozy creates a safe platform for renters and landlords

Cozy, a Portland-based rental platform used by 350,000+ landlords, property managers, and renters across thousands of U.S. cities, streamlines listings, applications, and rent payments and processes nearly $1 billion annually. As Cozy added payment options and grew its marketplace, it faced rising payment fraud and fake rental listings while operating with a lean fraud team of one, creating a need for a scalable, predictive solution to protect trust on both sides of the marketplace.

Cozy integrated Sift’s machine‑learning fraud prevention quickly, automating decisions via Sift Score and using the Sift Console for targeted investigations. Since integration, Sift has helped Cozy stop over $1 million (about $1.4M in attempted fraud) in fraudulent payments, drive a continually falling fraud rate, and keep annual fraud losses under 0.001%—enabling continued business growth with minimal manual effort.

Cozy

Kevin Collins

Head of Trust & Safety