A Practical Playbook for Preventing Refund Fraud on Shopify
By Synova Team
The instinct when refund fraud starts biting is to tighten the return policy for everyone. That's a mistake — it punishes your best customers and rarely stops the determined abuser. The better playbook is targeted: catch the specific patterns, and keep the evidence to defend each decision.
Measure your leakage first
You can't manage what you haven't measured. Start with the two purest leaks: refunds issued without a completed return, and repeat-return customers whose refunds exceed half their lifetime spend. That number is usually bigger than people expect.
Check coverage and history at the moment of decision
Bring the customer's history into the return queue so an expired-coverage or excluded-fault claim is denied automatically with a reason, and a thin-history case routes to a human instead of a guess.
Ask for proof — without accusing
For damage claims, a neutral request for photos of the product, packaging, and label filters a lot. Fingerprinting those photos catches the recycled-image trick, where the same "damage" photo appears on multiple claims.
Build the chargeback paper trail
When a refund is followed by a chargeback, or an "item not received" claim hits a signed delivery, your dispute response is only as good as the timeline you can produce: order, every carrier scan, refunds, and each decision. Assemble it once and reuse it.
Return Intelligence covers this end to end — the leakage audit, explainable scoring, wardrobing and chargeback double-dip detection, and one-click evidence packs. See Return Intelligence.
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