> ## 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.

# Refunds: Track Returns and Order Reversals

> Track refund events for your Shopify store with the Upstack Pixel. Monitor return rates, identify problem products, and understand revenue impact from customer refunds.

<Tip>
  Refunds counts the total number of refund events processed for your Shopify store.
</Tip>

## Formula

<Info>
  **Refunds** = **COUNT** ( Refund Events )
</Info>

### Formula Components

| Metric            | Definition                                                     |
| ----------------- | -------------------------------------------------------------- |
| **Refund Events** | Individual refund transactions processed in your Shopify store |

| Metadata        |                                                              |
| --------------- | ------------------------------------------------------------ |
| **Type**        | Number                                                       |
| **Data Source** | [Upstack Pixel](/pixel), [Shopify](/sources/catalog/shopify) |
| **Aggregation** | Count                                                        |

***

## Example

Your Shopify store processed **47 refunds** last month out of **1,892 total orders**.

| Period   | Orders | Refunds | Refund Rate |
| -------- | ------ | ------- | ----------- |
| January  | 1,892  | 47      | 2.5%        |
| February | 2,104  | 63      | 3.0%        |
| March    | 1,756  | 35      | 2.0%        |

***

## How It Works

The Upstack pixel tracks refund events when orders are fully or partially refunded in Shopify. Each refund transaction is counted as one event, synced in real-time from your Shopify order data.

***

## When to Use

| Scenario               | Action                                                            |
| ---------------------- | ----------------------------------------------------------------- |
| High refund volume     | Investigate product quality or fulfillment issues                 |
| Refund rate increasing | Review customer feedback and return reasons                       |
| Channel comparison     | Compare refund rates by traffic source to identify quality issues |
| Seasonal analysis      | Track refund patterns around peak shopping periods                |

***

## Related Metrics

| Metric                                                             | Relationship                      |
| ------------------------------------------------------------------ | --------------------------------- |
| [Purchases](/reference/metrics/funnel/conversions/purchases)       | Total orders before refunds       |
| [Revenue](/reference/metrics/funnel/conversions/revenue)           | Gross revenue impacted by refunds |
| [Refund Value](/reference/metrics/funnel/conversions/refund-value) | Monetary amount of refunds        |

[See all Conversions metrics →](/reference/metrics/funnel/conversions)