Case Study: CoinJar halves manual review time and achieves 133% ROI with Sift

A Sift Case Study

Preview of the CoinJar Case Study

How Sift helps CoinJar protect $300M+ in crypto assets

CoinJar is a long-running digital currency exchange with over 500k users and $300M+ in assets under custody. Because crypto transactions are irreversible and the exchange operates entirely online, CoinJar was a prime target for social engineering, payment fraud, and account takeover—creating an urgent need for robust, efficient identity assurance and fraud prevention.

CoinJar integrated Sift’s customizable, real-time machine learning and global signal network to augment existing workflows without adding customer friction. The solution halved average daily manual review time (saving compliance teams about 4 hours/day), delivered a 133% ROI, and improved analyst decisioning and overall risk-mitigation accuracy while enabling faster, safer customer journeys.


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CoinJar

Ryan Zhou

Co-Founder and COO


Sift

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