# Profile

Use **Profile** to analyze user attributes and their values across your audience.

This is useful when you want to understand who your users are, not just what they did.

### What you can analyze

Profile analysis helps you answer questions like:

* Which cities or countries are most common?
* How are loyalty levels distributed?
* Which user traits changed during a release or campaign period?
* Which attribute values define a high-value audience?

### Choose the time period

You can analyze profile data for:

* **Last Week**
* **Last Month**
* **Last Year**
* **Dates Between**

Use a custom range when you want to focus on a launch, campaign, or seasonal window.

### Select attributes and values

Start by choosing the profile attribute you want to inspect.

Examples:

* city,
* membership level,
* preferred store,
* subscription status,
* or any custom profile attribute.

Then narrow the analysis with specific attribute values when needed.

This lets you focus on a smaller part of the user base and compare distributions more clearly.

<figure><img src="/files/TjNa6Ot3bW6k1a3ZFahU" alt=""><figcaption></figcaption></figure>

### How to use the results

Use the output to:

* build better segments,
* personalize campaigns,
* compare user groups,
* and validate whether profile enrichment is working as expected.

For example, if a loyalty tier is missing for a large share of users, that usually points to a data quality gap.

<figure><img src="/files/ti4nO5BODv8vAHLG6vKF" alt="" width="563"><figcaption></figcaption></figure>

### Best practices

* Start with one important attribute.
* Use a clean date range.
* Narrow by value only when you need a sharper view.
* Compare profile findings with [People Insight](/netmera-user-guide/reports-and-analytics/analytics/people-insight.md) or [Event Insight](/netmera-user-guide/reports-and-analytics/analytics/event-insight.md) when behavior matters too.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://user.netmera.com/netmera-user-guide/reports-and-analytics/analytics/profile.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.