The success of any app depends on the number of downloads and user satisfaction. Both can be boosted via a wise analytical strategy. Learn how to make your app more visible and successful. Here is your basic guide to efficient analytics.
To ensure success, you need to know how many users install your app and how they find it in the first place. Modern methods of app analytics for Google Play deliver instant results. You can easily see whether the original goals are being attained. The system answers multiple questions, which helps you to increase engagement and retention.
Main Reasons to Use Google Analytics
- This system allows developers to monitor interactions between the users and their website and app. This is absolutely crucial for online retailers, as their apps are their sales channels.
- Google Analytics is the leading tool of this kind, so there are more guides and experts to help you.
- The service is free.
- The service is easy to use.
The Google Analytics environment includes a range of native integrations. These include Google Adwords and Google AdSense. If you upgrade to the paid version (Google Analytics 360), you can also establish a connection to DoubleClick products and obtain more in-depth results. All the incoming data like costs, RPM, download counts, etc., can appear in Google Analytics automatically. Here are four critical sections.
1.Β Β Number of Installations
The number of installs reflects the customersβ sentiment. You can identify channels generating the most traffic. This information is available through the Acquisition reports in Google Analytics. You can see which ad strategies are the most effective, which OS and devices your customers prefer, and how loyal they are.
2.Β Β Customer Profile Analysis
The data reflects such key characteristics as age, preferences, frequency of use, length of sessions, etc. This will help you optimize the app for the target audience.
For instance, the βOverviewβ section provides the number of users, both new and loyal, the screen view count, etc. Meanwhile, the βBehaviorβ section shows how many people have opened your app within a certain period, how much revenue each of them brought, and more.
3.Β Β Interaction Analysis
The behavioral analysis highlights bottlenecks in the sales funnel. For example, it shows the number of screen views and exits, the length of viewing each screen, the sequence of viewing, etc. If you see that the average user exits after the first 5 seconds, your content needs work. It clearly fails to attract attention.
4.Β Β Events Analysis
The term refers to all interactions with app elements like buttons or ads. The data includes the total number of events and their value, the screens used the most and least often.
Final Words
These are the crucial assessment insights available through Google Analytics. However, the most efficient way to boost your appβs growth is through third-party services. These systems can monitor and summarize all ratings and reviews of your product. They allow you to respond in seconds, manually or automatically.
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