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10 Best Mobile App Analytics Tools (Free Included)

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10 Best Mobile App Analytics Tools (Free Included)

Check out the 10 best mobile app analytics tools based on different criteria and discover how to use them to understand and improve your app's performance.

With so many mobile app analytics tools to choose from, which one is the best for you? This list of 10 will give you some great options, whether you’re looking for a free app analytics tool or something more robust. All of these tools offer different features, so be sure to read up on each before deciding which is right for your needs. With the insights these tools provide, you can fine-tune your app’s performance and make it even more successful. Let’s get started!

You’ve accomplished the impossible: you’ve created an app and begun selling it. While congratulations are due, developing the app is only the beginning of your journey to app success. Optimization is the next (and possibly most crucial) phase. With consumers spending an average of 4 and half hours a day on their phones, it’s essential to make sure your app captures some valuable time.

And having more visibility can pay off. Consumers spend an average of $120 billion in the app store and $190 billion on mobile advertising. To make your mobile application as successful as possible, employ mobile app analytics to track traffic and user stats.


How Do Mobile App Analytics Tools Work?

In-app data relevant to the mobile app’s functionality and the behavior of users within the app is collected and reported on by mobile application analytics tools. The following categories of app analytics: Operational analytics: Provides insight into mobile app availability and performance regarding the device, network, server, and other technical aspects. Unexpected app behavior (such as crashes, bugs, problems, and latency) can lead to user annoyance and app abandonment; hence operational analytics are critical.

Such analytics should be used during the app testing phase and after the app has been released into production. Behavioral analytics: Demonstrates how app users gather actionable insights, develop the software, and improve business outcomes. User profiles, segmentation/cohorts, retention, funnel/event tracking, and A/B testing can all be used to evaluate behavioral data by correlating clicks, swipes, views, and other valuable facts.



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