Modern dating can be intimidating – people are so busy, finding a real connection can feel like a struggle. But Zoosk is aiming to change that, with its top-grossing online dating app. With 80 countries, 25 languages, and 35 million members on the platform, Zoosk works as both a social network and marketplace. Unfortunately, as with anything where accounts and payments information are at play, fraudsters sniffing around the site threatened to dilute the pool of legitimate daters.
Zoosk needed a big data-based and real-time solution to not only weed out the existing bad actors on the platform, but to also prevent new malicious users from ruining the experience for good users. Sift Science’s suite of fraud fighting tools enabled them to significantly streamline their fraud management workflow. As an added bonus, Zoosk was also able to reduce friction for their known legitimate users. All of this time savings means a better customer experience all around.
Read more about Zoosk’s fraud fighting success in our newest 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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