> For the complete documentation index, see [llms.txt](https://everyday-digital.gitbook.io/analytics-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://everyday-digital.gitbook.io/analytics-docs/analytics-explained/audience.md).

# Audience

**Access audience analytics to interpret user app engagement.**&#x20;

{% embed url="<https://cdn.falkor.io/uploads/2019/12/cloud-file-2686/def208842e187c4e7d8b5b85b8a6c6d7.mp4>" %}

### **Frequency**

**Shows the number of unique users vs the number of sessions per day.** A session is recorded when the user returns to the app, or interacts with content. Filter options include: Daily, Monthly, Annually.&#x20;

### Top Locations

**Shows a location map of where users are based.** Select a country to see which regions contain the most users.

### **Age Ranges**

**Shows the average age group of your audience.**

### **Retention**

**Shows the** **user uptake in cohorts (groups) over the last 8 weeks**. This allows you to see how many new users were acquired (started using the app) each week, and how many of them used the app again over a 7 week period.

### **Adoption (App Only)**

**Shows the app versions & device types** that your users are on and the number of users on each version.

{% hint style="info" %}
**Tip: For retention, compare the rows to see how well users are retained in each cohort**. This can help you understand the retention results within the context of campaigns, seasons, holidays, etc.&#x20;
{% endhint %}

{% content-ref url="/spaces/qLCy59wJQ8F7TP3a1ARN" %}
[Data Privacy](https://everyday-digital.gitbook.io/data-privacy-docs/)
{% endcontent-ref %}
