The total dollar amount refunded to returning customers (repeat buyers).
Returning Customer Refunds = SUM ( Refund Amount ) WHERE customer_type = returning_customer
| Metric | Definition |
|---|
| Refund Amount | Total refunds applied to orders |
| customer_type = returning_customer | Filters to returning customers |
| Metadata | |
|---|
| Type | Currency |
| Data Source | Shopify |
| Aggregation | Sum |
Example
Your store refunded $8,720 to returning customers in March across 89 refunds:
| Week | Returning Customer Refunds | Refund Count |
|---|
| Week 1 | $1,892 | 19 |
| Week 2 | $2,456 | 28 |
| Week 3 | $2,502 | 25 |
| Week 4 | $1,870 | 17 |
How It Works
This metric sums all refund amounts from orders placed by returning customers. A customer is classified as “returning” when they have at least one prior completed order in Shopify. High values may indicate product quality degradation, unmet expectations from loyal customers, or fulfillment issues.
When to Use
| Scenario | Action |
|---|
| Monitoring customer retention | High refunds from repeat buyers signal satisfaction issues |
| Identifying quality problems | Compare to new customer refunds to isolate repeat buyer issues |
| Evaluating product changes | Track refunds after product updates to measure impact |
| Measuring loyalty program value | Correlate with loyalty tier to assess member satisfaction |
| Metric | Relationship |
|---|
| New Customer Refunds | Compare new vs. returning customer refund behavior |
| Refund Amount | Total refunds across all customer types |
| Returning Customer Refund % | Share of returning customer orders refunded |
| Returning Customer Refund per Order | Average refund amount per returning customer order |
