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E-commerceFREE

Flag Suspicious Refund Patterns Before They Drain Your Margin

Protect profit from refund abuse — track refund frequency per customer and flag those with a suspicious pattern for review before approving more.

difficulty Advancedsetup 40 minresult Serial refunders are caught early so you can review before continuing to lose money to abuse.—
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  1. 1

    Trigger on Refunds

    Add a Shopify Trigger node on refund creation.

  2. 2

    Update the Customer's Refund Count

    Add an Airtable node incrementing that customer's refund tally and value.

  3. 3

    Detect Abuse Patterns

    Add a Code node flagging customers exceeding a refund-rate or count threshold.

  4. 4

    Flag for Review

    Add a Slack node alerting your team with the customer's refund history for a decision.

  5. 5

    Activate and Test

    Activate the workflow and simulate repeated refunds for a test customer. Confirm the flag fires.

Frequently asked questions

Won't this catch legitimate returns?

It only flags for review, not auto-blocks — humans decide, so genuine customers aren't wrongly penalized.

Can I block flagged customers?

You can tag them so future high-value orders get manual review, rather than outright blocking.

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