# Anomaly Detection Summary Report

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The **Anomaly Detection Summary** report compares forecasted figures to actual performance figures per partner and shows a summary of the anomalies detected for a chosen time period. If the figures are above or below the forecasted range, they will be flagged as anomalous.

#### Accessing and running the report

![](https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2Fgit-blob-1acc17264ae0dccc2bd47ee2c717a6a23388ed9e%2F17426f082e8e9619a9c94d5932c4cd29eaad4717cd665bf2845e520dd781da6d.svg?alt=media) This feature is only available with the Optimize add-on. [Click here](https://app.impact.com/secure/advertiser/fr/upgrade.ihtml?u=/secure/advertiser/optimize/landing-page.html) to get the add-on!

1. From the left navigation bar, hover over ![](https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2Fgit-blob-1e02b2659c94fa0756772cc6c1880977fc9aba73%2F6ad16bf9b7edb0a28ab3574d313014f32392aa7f9508686b63bfacfafc7a9735.svg?alt=media) **\[Optimize]**.
2. Select **Forecast → Anomaly Detection**.
3. Select filter criteria to customize the report using the filter bar near the top of the report. Refer to the *filter descriptions* section below for help with understanding the filter options.

<details>

<summary>Filter descriptions</summary>

| Filter                   | Description                                                                                                                                                                                            |
| ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Date Range               | Filter for a specific date range of data.                                                                                                                                                              |
| Anomalous Threshold % >= | Should the actual figure compared to the predicted figure for the chosen date range have a greater variance percentage than this chosen percentage threshold, the figure will be flagged as anomalous. |
| Partner                  | Select the partner(s) for whom you want to see data.                                                                                                                                                   |
| Group                    | Select for which group of partners you want to see data.                                                                                                                                               |
| Currency                 | Select the currency that you want to view revenue in.                                                                                                                                                  |

**Show**

You can add additional columns to your report, namely the date range and the predicted figures.

| Date                         | The date range, as selected by the *Date Range* filter.                        |
| ---------------------------- | ------------------------------------------------------------------------------ |
| Partner                      | The Partner account to which the data belongs.                                 |
| Actual Clicks                | The reported number of clicks for the date range.                              |
| Anomalous Clicks             | The number of clicks, greater or less than the predicted figure.               |
| Anomalous Clicks %           | The percentage difference between the actual and predicted low or high clicks. |
| Actual Actions               | The reported number of actions for the date range.                             |
| Anomalous Actions            | The number of actions, greater or less than the predicted figure.              |
| Anomalous Actions %          | The percentage difference between the actual and predicted figure.             |
| Actual Revenue               | The reported revenue for the date range.                                       |
| Anomalous Revenue            | The amount of revenue, greater or less than the predicted figure.              |
| Anomalous Revenue %          | The percentage difference between the actual and predicted figure.             |
| Predicted Clicks (Low)       | This is the lower bounds predicted figure for clicks.                          |
| Predicted Clicks (High)      | This is the higher bounds predicted figure for clicks.                         |
| Predicted Actions (Low)      | This is the lower bounds predicted figure for actions.                         |
| Predicted Actions (High)     | This is the higher bounds predicted figure for actions.                        |
| Predicted Revenue (Low)      | This is the lower-bounds predicted figure for revenue.                         |
| Predicted Revenue (High)     | This is the higher bounds predicted figure for revenue.                        |
| Predicted Action Cost (Low)  | This is the lower bounds predicted figure for action cost.                     |
| Predicted Action Cost (High) | This is the higher bounds predicted figure for action cost.                    |

</details>

4. Select ![](https://4048883401-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FwMLlMoFBtKJa8ptd3zaw%2Fuploads%2Fgit-blob-3c5971fb7b03a98375488e97a4317afd60621298%2Fd0fbb4c2c189cdc83bc0eb8e906fa3cb66818d0a9daa1491ea48042160714ed2.svg?alt=media) **\[Search]** to run the report. Refer to the Report data section below for help with understanding the report data.
