“We wanted to take advantage of machine learning to better automate the good events, the good sign ups, the good redemptions. Bethany Morgan, the Fraud Manager at Fetch Rewards, summarized their priorities: In its wide-ranging search for a solution, Fetch had three clear requirements in mind: accurate automation to maximize approvals, an all-in-one tool to increase efficiency, and data transparency. Bethany Morgan, Fetch Rewards Fraud Managerįetch Selects Kount’s Advanced AI and All-in-One Platform The extra detail is really helpful for a team like ours. Kount really won us over with the data transparency. To reduce the manual review burden and accelerate growth, Fetch began searching for a fraud protection platform that could scale with rapid expansion, accurately automate approvals, and reduce false positives immediately.

And with 600,000 active monthly users at the time, the effort began to affect team morale and company revenue, stalling growth campaigns that would have overwhelmed the review team’s capacity. The fraud team logged hours of overtime, at one point reviewing 20% of all orders. But, along with rapid adoption, Fetch also experienced a spike in new account and referral fraud, as users opened numerous fake accounts in order to collect valuable gift card offers and large referral bonuses.īecause Fetch places a premium on accepting every good order, the manual review rate skyrocketed. Customers flocked to the app, eager to cash in on hassle-free rewards. Today, with offices across the country, the Fetch app delivers the fun of coupon discounts without the frustration, and it works by rewarding daily purchases logged via a simple scan of receipts.

No Good Order Left Behind: Leading the Digital Rewards Revolutionįetch Rewards was born in 2013 with a plan to revolutionize rewards and discounts in local and digital shopping.

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