> For the complete documentation index, see [llms.txt](https://academy.gopersonal.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://academy.gopersonal.ai/en/admin-ui/analytics/recommendations.md).

# Recommendations

Step into Recommendations Analytics, your gateway to a wealth of insights into the effectiveness of your recommendation strategies. This module empowers you to dissect the performance of your personalized recommendations, providing a detailed examination of user engagement, conversion rates, and the impact on your overall business objectives. Uncover the nuances of how different recommendation approaches contribute to your success and leverage data-driven decision-making to fine-tune and optimize your recommendation strategies.

<figure><img src="https://2635939301-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6jDsmHXQ0gdSKhPuXFMw%2Fuploads%2FKzoOZkHtWkQF7BXsSQm4%2FScreenshot%202024-01-03%20at%209.10.20%20PM.png?alt=media&#x26;token=11890aea-c427-4b74-bf4b-f61389e2734b" alt=""><figcaption></figcaption></figure>

### Overview&#x20;

* **Total impressions:** Total number of recommendations impressions for the selected date range.&#x20;
* **Sessions:** Number of sessions where the customer saw at least 1 recommendation-type impression for the selected date range.
* **Click Through Rate:** Rate of sessions where the customer viewed the details of a recommended product, taking into account the attribution window and the selected date range.&#x20;
* **Conversion Rate:** Rate of sessions where the customer purchased a recommended product, considering the attribution window and the selected date range.&#x20;
* **Direct Revenue:** Revenue generated from the purchase of recommended products, considering the attribution window and the selected date range.&#x20;
* **Assisted Revenue:** Revenue generated from the purchase of products after the customer interacts with recommended products, considering the attribution window and the selected date range.

### Trends

For each of the above metrics, you can also visualize how these values have evolved over time. You have the flexibility to view this data on a daily, weekly, or monthly basis. Tailor your analysis to different timeframes, allowing you to gain a granular or high-level perspective on the evolution of metrics.&#x20;

### Date Filter&#x20;

You can narrow down your analysis to specific time ranges, allowing for a more focused examination of the performance of recommendations.&#x20;

<figure><img src="/files/ciG392SmIGaQDq9KACCc" alt="" width="331"><figcaption></figcaption></figure>

### Attribution Window&#x20;

The attribution window is the time allowed for an end user to complete the purchase of a clicked product. It can be same session, 7, 14 or 30 days.&#x20;