No Good Order Left Behind: Leading the Digital Rewards Revolution
Fetch Rewards was born in 2013 with a plan to revolutionize rewards and discounts in local and digital shopping. 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. Customers flocked to the app, eager to cash in on hassle-free rewards. 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.
Because Fetch places a premium on accepting every good order, the manual review rate skyrocketed. The fraud team logged hours of overtime, at one point reviewing 20% of all orders. 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.
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.