> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.2-data-types/global-mobile-app-average-sessions-ios-and-andriod.md).

# Global Mobile App Average Sessions (IOS and Andriod)

#### Overview

Global Average Sessions measures the average length of time users spend in an application each time they open it across iOS and Android globally. This metric provides insight into user engagement by showing how long users actively interact with the app during a typical session.

#### Historical Length

Historical coverage varies by application depending on data availability, with multi-quarter to multi-year history available for supported apps.

#### Granularity

Data is available at a periodic aggregated level, showing average session duration over time across supported operating systems and markets.

#### Update Frequency

Updated regularly as new app engagement estimates become available.

#### Methodology

Global Average Sessions estimates the average duration of a user session, defined as the amount of time a user actively spends in the application during a single app open.

This metric captures engagement quality rather than adoption, helping users understand how much time consumers are actually spending within an app once installed.

Because session duration reflects depth of interaction, it can be especially useful for evaluating retention strength, content engagement, and monetization potential across app-based businesses.

#### Use Cases

* Measuring user engagement trends over time
* Comparing session quality across competing applications
* Identifying increases or declines in consumer engagement
* Evaluating retention strength and app stickiness
* Tracking engagement ahead of earnings or major product launches
* Assessing monetization potential for ad-supported or subscription-based apps

#### Example Visualization

<figure><img src="/files/GRrfJleJPswCLob4CEg3" alt=""><figcaption></figcaption></figure>


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