Merchants lose good orders to automated fraud flags
The Hidden Cost of Fraud Protection: Good Orders You’re Declining Before BFCM
During BFCM, unusual purchases and shipping patterns make automated fraud decisions riskier, turning false declines into a direct threat to holiday revenue.
- 1High-risk flags signal the need for review, not definitive proof that a legitimate order should be canceled.
- 2Merchants can expose lost revenue by measuring every stage from blocked checkout through approval, cancellation, and rejection.
- 3Shopify Protect offers useful coverage, but payment methods, fulfillment, geography, and customer behavior limit its reach.
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Trevor frames holiday fraud decisions as a January report card, when merchants can compare lost approvals, fraud outcomes, and recovered revenue.
The brief
Trevor Miller distinguishes payment declines from fraud decisions: a high-risk signal is not an automatic verdict, and approval requires judgment about the order’s context.
The episode’s practical test is measurement. Merchants should track blocked checkouts, reviews, approvals, cancellations, and rejections to see how many legitimate orders disappear.
Shopify Protect can help, especially for covered Shop Pay transactions, but payment method, fulfillment, geography, shipping details, and unusual behavior create important limits.
BFCM magnifies the ambiguity: gifts, travel, new customers, fulfillment pressure, and higher fraud activity make holiday orders harder to assess than normal purchases.
ClearSale’s proposed answer combines automated analysis with human review, framing incremental approval as an economic tradeoff merchants can evaluate in January’s report card.