If you’ve heard of SEO – “search engine optimization” to the uninitiated – chances are good you’ve heard of Moz. Moz helps businesses grow their search engine rankings and improve their marketing outreach efforts with marketing analytics software, both paid and free. In addition to Moz’s SEO, content, social, and local marketing products, they’ve created a global community of 600,000 marketers. But that ever-growing network and worldwide audience of paying users meant that fraudsters weren’t far behind. Credit card testing and account abuse began to take up more and more of Moz’s fraud team time, and they soon began searching for a scalable solution.
“When we have repeat bad users, we can out-right block them based on Sift Score. Sift learns and catches them, every time they come back.” Devin Ellis, Software Engineering Manager
Check out Moz’s experience combatting account fraud and growing their fraud management efficiency in this new case study.
Stop fraud, break down data silos, and lower friction with Sift.
Achieve up to 285% ROI
Increase user acceptance rates up to 99%
Drop time spent on manual review up to 80%
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