> ## Documentation Index
> Fetch the complete documentation index at: https://docs.upstackdata.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Refund %: Percentage of Orders Refunded

> Track the percentage of orders that resulted in refunds. Monitor return rates by product, campaign, or time period to identify quality issues and optimize operations.

<Tip>
  The percentage of orders that resulted in a refund.
</Tip>

## Formula

<Info>
  **Refund %** = ( [**Refund Count**](/reference/metrics/orders/adjustments/refund-count) ÷ [**Orders**](/reference/metrics/orders/counts/orders) ) × 100
</Info>

### Formula Components

| Metric                                                                 | Definition                              |
| ---------------------------------------------------------------------- | --------------------------------------- |
| [**Refund Count**](/reference/metrics/orders/adjustments/refund-count) | Number of orders with refunds processed |
| [**Orders**](/reference/metrics/orders/counts/orders)                  | Total number of orders placed           |

| Metadata        |                             |
| --------------- | --------------------------- |
| **Type**        | Percentage                  |
| **Data Source** | [Shopify](/sources/shopify) |
| **Aggregation** | Ratio                       |

***

## Example

Your store processed **1,847 orders** in March with **92 refunds**:

| Period | Orders | Refunds | Refund % |
| ------ | ------ | ------- | -------- |
| Week 1 | 423    | 18      | 4.3%     |
| Week 2 | 489    | 21      | 4.3%     |
| Week 3 | 461    | 34      | 7.4%     |
| Week 4 | 474    | 19      | 4.0%     |

Week 3's spike to 7.4% warrants investigation—check product quality or fulfillment issues.

***

## How It Works

Refund % calculates the ratio of refunded orders to total orders. The metric counts any order with a refund—partial or full—as one refund. This gives you a clear view of what percentage of customers received money back.

***

## When to Use

| Scenario              | Action                                                |
| --------------------- | ----------------------------------------------------- |
| Quality monitoring    | Track refund rates by product to identify defects     |
| Campaign analysis     | Compare refund rates across acquisition channels      |
| Seasonal benchmarking | Monitor how return rates change during peak seasons   |
| Operations review     | Investigate spikes in refund % for fulfillment issues |

***

## Related Metrics

| Metric                                                                     | Relationship                     |
| -------------------------------------------------------------------------- | -------------------------------- |
| [Refund Count](/reference/metrics/orders/adjustments/refund-count)         | Numerator (raw count of refunds) |
| [Orders](/reference/metrics/orders/counts/orders)                          | Denominator (total orders)       |
| [Refund Amount](/reference/metrics/orders/adjustments/refund-amount)       | Dollar value of refunds issued   |
| [Refund Per Order](/reference/metrics/orders/adjustments/refund-per-order) | Average refund amount per order  |

[See all Adjustments metrics →](/reference/metrics/orders/adjustments)