> For the complete documentation index, see [llms.txt](https://docs.adalysis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.adalysis.com/tools/performance/where-to-find-performance-insights.md).

# Where to find performance insights

Track the KPIs that matter to you

{% embed url="<https://youtu.be/VE9lMTuVwtU>" %}

Performance data is integrated on most screens across the platform. It's a key aspect of how you can save time and make data-driven decisions with Adalysis.

**Performance** > **Overview** shows a summary of your account KPIs:

* Filter campaigns by type, label, or name.
* Select up to four KPIs to compare in your chart, from a comprehensive list of 20+ metrics.
* Click **View campaign breakdown** for the same chart at the campaign level.

<figure><img src="https://3203600314-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGlXujWJyreRidNjZDCw2%2Fuploads%2FFwflbw9xhromimQq2HQF%2F%7BE071141B-BF78-422C-B94A-4F29529E7091%7D.png?alt=media&amp;token=245f26de-fc99-42e2-ac90-86784718187d" alt=""><figcaption></figcaption></figure>

Scroll down for a breakdown of your **search impression share** by day and budget/rank, as well as **search impression position** data. While Google uses lost impression share to report on the percentage of lost impressions, Adalysis also analyzes daily performance data and traffic fluctuations.

<figure><img src="https://3203600314-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGlXujWJyreRidNjZDCw2%2Fuploads%2FlE2Y46egT8N53eDLFVJv%2F%7B4EE2F52A-44B3-4149-A95A-750C2FD41A32%7D.png?alt=media&amp;token=39772c81-bbb5-43f1-b3b5-80fd211a1a47" alt=""><figcaption></figcaption></figure>

<figure><img src="https://3203600314-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGlXujWJyreRidNjZDCw2%2Fuploads%2FT2V6BW5hQkMvUDSJPusi%2F%7B8B95E175-9F11-434F-8E69-5CD4656321C3%7D.png?alt=media&amp;token=c135383d-eb27-473a-b41c-9589a66387a2" alt=""><figcaption></figcaption></figure>

To dig deeper into trends, choose **View root cause analysis**. You can also click on any data point in the chart — both will activate the [Performance Analyzer](#root-cause-analysis).

<figure><img src="https://3203600314-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGlXujWJyreRidNjZDCw2%2Fuploads%2FeZNSp6JMFBrlrdmM04nj%2F%7BB2413BF8-B37B-4739-BD0C-3ACB7C246B9D%7D.png?alt=media&amp;token=a58b6d4b-ffaa-49f9-8f33-7f0e3dc731ce" alt="" width="249"><figcaption></figcaption></figure>

Next steps:

* Set up your own [performance monitors](/tools/performance/how-to-create-performance-monitors.md)
* Get to the [root cause ](/tools/performance/root-cause-analysis-with-the-performance-analyzer.md)of performance changes