What Is Mobile Analytics?

Mobile analytics are designed specifically to monitor and understand how users are interacting with an app to gain a better comprehension of their behavior and the application’s performance.

Mobile analytics have become increasingly important as both web activity, and indeed most users’ interactions with the online world, happen on mobile devices.

Today’s mobile BI and analytics suites let you track a variety of different features, both on the user side and your own backend.

User metrics help you track behavior patterns as well as how users are reacting to your existing application and design.

Behavior-related data include monitoring aspects like page bounce rates opened, device information (what type of device, which operating system, etc.), how long users keep your app open or navigate your site, and more.

See Sisense in action:

Customer experience dashboard - digital marketing dashboards

On the performance side, mobile analytics let you comprehend how well your app is working every time it’s opened.

This includes understanding how each feature is working, as well as crash data, bug and glitch reports, and information about items like app installs, how many taps users are taking per visit, how many screens they move through, and more.

How Can I Use Mobile Analytics?

In today’s increasingly mobile-first world, there are multiple ways you can deploy mobile data analysis to understand your app and your customers’ preferences better.

One of the most common ways to deploy mobile data analysis is using A/B testing, which lets you track how different incremental variations of the same page or screen perform.

Mobile data analysis, or mobile analytics, grants you the ability to try multiple versions and identify how each performs with users and why.

Additionally, mobile analytics is often an umbrella term for a variety of more concise data analytics tools that shed light on different aspects of an app or mobile site.

For instance, marketing teams can track different user segments and demographics, grasp how advertising and marketing campaigns are performing in ROI terms, and even assist in automated campaigns.

One great example of this is tracking mobile attribution, which allows you to visualize how user events are connected to different marketing strategies and campaigns.

Product and UX/UI analytics track user behaviors and preferences to determine the best configurations of features and tools, as well as find errors and bugs which affect user satisfaction.

For instance, an app that has multiple crash reports and complaints can use mobile analytics to determine what is causing the problem, as well as how users are reacting.

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