The total dollar amount refunded to customers in the selected period.
Refund Amount = SUM ( Refund Value )
| Metadata | |
|---|
| Type | Currency |
| Data Source | Shopify |
| Aggregation | Sum |
Example
Your store issued $8,450 in refunds during March:
| Week | Refund Amount | Orders Affected |
|---|
| Week 1 | $1,820 | 23 |
| Week 2 | $2,340 | 31 |
| Week 3 | $1,950 | 26 |
| Week 4 | $2,340 | 29 |
How It Works
Refund Amount sums the dollar value of all refunds processed in Shopify during the period. This includes partial and full refunds. High refund values reduce net revenue and may indicate product quality, sizing, or fulfillment issues.
When to Use
| Scenario | Action |
|---|
| Track refund liability | Monitor total refund dollars over time |
| Identify problem products | Break down by product to find high-refund items |
| Calculate net revenue | Subtract refunds from gross revenue |
| Compare customer segments | Analyze new vs returning customer refunds |
| Metric | Relationship |
|---|
| Refund Count | Number of orders with refunds |
| Refund % | Refund rate as percentage of orders |
| Refund Per Order | Average refund per order |
| Net Revenue | Gross revenue minus refunds and discounts |
