> For the complete documentation index, see [llms.txt](https://rosetta-ai.gitbook.io/help-center/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://rosetta-ai.gitbook.io/help-center/dashboard-and-data/analytics.md).

# Analytics

This section will explain how to view and use the analytics to gain insights into the profiles of your website's products and consumer preferences. Utilize first-party data to plan your brand operations.

## Product Analytics

{% hint style="success" %}
This feature is available for users with the **Professional** plan and above.
{% endhint %}

This analysis provides detailed data insights into product characteristics and attributes. It helps you understand the sales performance of products with different attributes, and provides more precise data support for activities like product development, design, and selection.

{% content-ref url="/pages/jGYmsqZVCkYhQ5IH6Auc" %}
[Product Analytics](/help-center/dashboard-and-data/analytics/product-analytics.md)
{% endcontent-ref %}

## **Preference Analytics**

{% hint style="success" %}
This feature is available for users with the **Visionary** plan and above.
{% endhint %}

We use the K-means clustering machine learning method to automatically grouping your customers into four groups based on their spending patterns: High-Spenders, Medium-Spenders, Low-Spenders and also Non-Spenders. You can use this grouped data to enhance your marketing and advertising strategies, increasing conversion rates and average order value (AOV).

{% content-ref url="/pages/YlOFeWhKl0AMMryRaLcH" %}
[Preference Analytics](/help-center/dashboard-and-data/analytics/preference-analytics.md)
{% endcontent-ref %}


---

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