Case Study: Fetch Rewards achieves 500% growth and 90% fewer manual reviews with Kount

A Kount Case Study

Preview of the Fetch Rewards Case Study

Fetch Rewards achieves 400% growth while reducing fraud

Fetch Rewards, a receipt-scanning loyalty app, struggled with a surge of new-account and referral fraud as it scaled—users created fake accounts to claim gift cards and referral bonuses. Manual reviews ballooned to about 20% of orders, overwhelming the fraud team, hurting morale and blocking growth when the app had roughly 600,000 monthly active users.

Fetch deployed Kount’s AI-driven fraud platform—using tools like Email Age, Omniscore, transaction velocity policies and customizable rules—to automate decisions and increase accuracy. The result: manual reviews fell to under 2% (≈90% reduction), fraud rate dropped 70%, marketing campaigns were optimized with real-time risk data, and monthly active users grew to 3 million (500% growth) while the fraud team scaled only modestly.


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Fetch Rewards

Bethany Morgan

Fraud Manager


Kount

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