Case Study: Swan Bitcoin cuts loss rate by 90% and reduces manual review time by 80% with Sift

How Swan Bitcoin keeps loss rates down and stays a step ahead of fraud

Swan Bitcoin is a fast-growing bitcoin savings app (launched 2020) that helps consumers set up recurring and instant bitcoin purchases, serve corporate treasuries, retirement accounts, and employee benefits. Early on the platform faced significant fraud — fraudulent transfers, chargebacks, identity reuse, SMS and burner-contact spam — made harder to detect because many legitimate users also favor privacy-preserving emails and phone numbers.

Swan implemented Sift Account Defense, built score-based and rules-driven workflows, aggregated signals from multiple vendors into a single review console, and automated responses to high-risk activity (including stopping an SMS attack). The result: loss rate fell by over 90%, time spent on manual review dropped by 80% (avoiding extra hires), and Sift’s network and evolving workflows have scaled with Swan as fraud patterns changed.

Swan Bitcoin

Yan Pritzker

Co-founder & CTO