Returning customers can appear safer simply because they buy different products, place smaller orders, or have had more time to reveal a purchase history. A useful comparison freezes customer status when each purchase…
Campaign-level dispute analysis needs a stable attribution rule and a comparable observation period. Without both, a campaign can appear unusually risky because its orders are older, its identifiers are easier to capture…
A disputed basket can contain several products, but that does not mean every product caused the dispute. Before ranking SKUs, decide whether the analysis measures product presence in disputed orders or assigns a verified…
Do not publish a chargeback KPI until you can explain its case identities, lifecycle events, date basis, and monetary units. A small data defect can change a percentage enough to trigger a management decision, especially…
A comparable chargeback win rate needs a published denominator and an outcome policy. A percentage based only on contested, completed cases describes one selected group. It does not describe every filed case, every…
A chargeback reason describes the allegation or category attached to a payment case. It does not automatically identify the operational failure that produced it. Build a second classification for the merchant's…
Recent orders have had less time to generate a chargeback than older orders. If you compare their observed outcomes without allowing for that difference, the newest group can appear safer simply because it is younger.…
Shopify sales reports help explain what the store sold, but they do not provide a complete view of payment disputes. A commercial report can show a healthy selling period while the operations team faces new cases,…
Calculate a count-based chargeback rate by dividing a defined number of chargebacks by a defined population of eligible payment transactions, then multiplying by 100. Track disputed monetary value separately. Orders,…