# Performance by Promo Code Report on the Mobile App

The *Performance by Promo Code* report shows you specific tracking data related to promo codes you've used to promote brands.

#### Manage the report

1. From the navigation bar at the bottom of your screen, select ![](https://347878556-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fb2rE79d9UhOKZQLgzSqx%2Fuploads%2Fgit-blob-1425865942cf33b5d7c46072459dc76e44d37fe8%2F0699fd8327d9458deb32c35f5d6608740cf7bdba42106c05b1bb9d5e634bfae2.svg?alt=media) **\[Reports]**.
2. In the *Reports* section, select **Performance by Promo Code**.
3. In the upper-right corner, select the date ![](https://347878556-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fb2rE79d9UhOKZQLgzSqx%2Fuploads%2Fgit-blob-c2cb550b55c51ea1eeff0acbd6f437a03b621a2c%2F60d033ae8a04c14498d5229c3c0160ac05feea7f605dbd770741793c900469f0.svg?alt=media) **\[Drop-down menu]** to select the date range of the promo codes' performance data.
4. In the upper-right corner, select ![](https://347878556-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fb2rE79d9UhOKZQLgzSqx%2Fuploads%2Fgit-blob-7cfd25b971c29a0610f2e298c20fbd9fd30ae9e6%2Fb9fc56922a355ba3112ddf49588fbe3cb2030c765ff244dd14a06eda4c9bf555.svg?alt=media) **\[Filter]** to filter for the data you want to view.
   * View the *Filter reference table* below for more information.

<details>

<summary>Filter reference table</summary>

| Filter  | Description                                                                                                                                                                                                                                                                                                                                                         |
| ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Sort By | Sort promo codes in *Ascending* or *Descending* order of the date they were launched, or in alphabetical order.                                                                                                                                                                                                                                                     |
| Brands  | Filter for promo codes associated with specific brands by selecting the relevant ![](https://347878556-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fb2rE79d9UhOKZQLgzSqx%2Fuploads%2Fgit-blob-d2954616dc486c3e12c9211e20ff376bda0ab1af%2F7586e04e82e7c7203e5c82320dd417f8ac564cae5035024fdf0eb2ed017e6376.svg?alt=media) **\[Check boxes]**. |

</details>

5. View a breakdown of your promo codes' performance data.
   * Refer to the *Report data column reference* for more information.

<details>

<summary>Report data column reference</summary>

| Column         | Description                                                                                                                                                             |
| -------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Total Earnings | See total earnings for your selected promo codes during the chosen date range. This is all of the daily earnings from all of your promo codes with the chosen programs. |
| Sales Amount   | This is the total amount of sales you have generated for your partnered brand from promo code sales.                                                                    |
| Actions        | This metric shows you your earnings per conversion (sales, app installs, etc.) per promo code during the chosen date range.                                             |

</details>
