> For the complete documentation index, see [llms.txt](https://help.citrusad.com/retail-media-interface/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.citrusad.com/retail-media-interface/advertiser-reporting/category-reporting.md).

# Category reporting

Understanding how shoppers engage with categories over time can make it easier to optimize strategy, budget allocation, and overall campaign performance. **Category Reporting** gives you full visibility into category‑level performance, using the latest standard KPIs in the New UI so you can quickly identify high‑performing categories and areas for improvement.

### How to View the Category Report

1. Open the navigation bar on the left
2. Open the **Insights** menu item
3. Click **Category Report**

It’s that easy!

{% hint style="info" %}
**Selected availability:** This is only rolled being rolled out to selected retailers. If you are a retailer that is interested, please reach out to our team, integration updates may be required.
{% endhint %}

Learn everything about the Category Report in the clickable guided tour below:

{% embed url="<https://epsilon.storylane.io/share/category-reports>" %}

Want to view more guided tours? Check out the [**Demo Hub**](https://epsilon.storylane.io/hub/demo-hub)**.**

{% hint style="info" %}
Want to view campaign-level history reporting? Filter to the campaign's name, or use the [Campaign-level reporting](/retail-media-interface/advertiser-reporting/campaign-level-reporting.md) page to filter further on a specific campaign.
{% endhint %}

### What You Can Do with Category Reporting

Category Reporting is designed to help you analyse, compare, and optimise performance across retailer categories:

* **Analyse category performance over time**\
  Review historical category performance using consistent, standard KPIs to understand trends and seasonality.
* **Filter by category**\
  Quickly isolate performance for specific categories to identify top‑ and under‑performing areas.
* **Slice performance across key dimensions**\
  Refine your analysis by filtering on:
  * **Retailer catalog**
  * **Campaign type**
  * **Wallet**
  * **Date range**


---

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