Features
The Refunds view breaks down your refund volume, fee leakage, and cost distribution across products, countries, and payment methods — with evidence you can drill into.
Four cards summarize refund activity for the selected date range:
Refund Count
Total number of refunds issued in the period. Includes full and partial refunds. Partial refunds still incur the original processing fee.
Refund Volume
Total amount refunded, normalized to your settlement currency. This is money returned to customers — and fee leakage returned to nobody.
Refund Rate
Refund Volume ÷ Gross Volume × 100. Industry benchmarks: <0.5% healthy, 0.5–2% elevated, >2% problematic. Stripe's monitoring threshold for refunds is typically 1%.
Avg Refund Amount
Refund Volume ÷ Refund Count. Useful for identifying whether high-value or low-value transactions drive your refund rate.
The evidence table lists individual refund records. Each row corresponds to a single refund event with the following columns:
| Column | Description |
|---|---|
| Date | When the refund was created (not when it settled). |
| Amount | Refund amount in the original transaction currency. |
| Reason | Stripe refund reason: duplicate, fraudulent, requested_by_customer, or other. |
| Product | Derived from the charge's metadata (requires Attribution setup). |
| Country | Customer billing country from the card or payment method. |
| Method | Payment method type: card, bank_transfer, sepa_debit, etc. |
Three breakdown tabs let you pivot your refund data by different dimensions:
By Product
Refund volume and count grouped by product segment (from charge metadata). Identifies which product lines drive the most refund cost. Requires Attribution setup.
By Country
Geographic breakdown of refund volume. Use this to identify regional patterns — high refund rates in specific markets often indicate localized product-market fit issues or fraud vectors.
By Payment Method
Breakdown by payment instrument type (card, bank transfer, etc.). Certain methods have higher dispute-to-refund conversion rates — this view surfaces those patterns.
Use the filter bar above the evidence table to narrow results. Available filters:
Reason
Filter by Stripe refund reason code.
Product
Filter by segment metadata value (requires Attribution).
Country
Filter by customer billing country.
Payment Method
Filter by payment instrument type.
A structured spreadsheet with all evidence columns plus computed fields (fee_lost, fx_impact). Suitable for finance workflows and spreadsheet analysis.
A formatted report with summary metrics, top breakdowns, and evidence table. Includes export metadata: snapshot UUID, export timestamp, date range, and data source.