Types of app Analytics
There are seven types of mobile Analytics solutions which we need to mention as the most efficient ones, which will help you get a thorough analysis of an app. They are app monetization, App Store, app interaction, app performance management, mobile advertising, mobile browsers and in-app engagement Analytics.
App monetization Analytics
It helps understand a user of an app better, as well as marketing and advertising efficiency, including message settings an app, pricing models and advertisement.
App Store Analytics
This type of collected data shows key efficiency indicators of your product and your competitors' product, as it shows the rate and income in different stores. It comes down to issues like ranking when a user comes to a store, downloads, in-app purchases comparison, and many other factors. The information helps choose the best monetization strategy, increase return on investment and engage acquiring users.
App interaction analytical tools
They are needed to know how a user interacts with an app, why and when he closes it. Data is needed to improve the design and increase productivity.
App performance management
It lets you measure different parameters concerning performance and detect defects. The tool also informs you of all crashes and cases when your app slows down throughout various devices and operating systems.
Mobile advertising Analytics
This Analytics calculate usefulness of advertising expenditures and displays its effectiveness. It also reflects the users' behaviour and their attitude towards the ads, like clicks, for instance.
Mobile browsers' analytical tools
The tools are needed to increase users experience of interaction with a browser and to understand their behaviour, monitor the conversion and other parameters.
In-app engagement Analytics
It shows a number of downloads, a frequency of use and the duration of each session. These tools display everything that a user does inside the app.The data is vital, it helps determine the list of analytical tools you require exactly. For instance, if you make an in-house app for a company or an enterprise you need a performance management analysis more than in-app engagement analysis. Or, imagine, that your app is very extraordinary. In this case, standard app Analytics tools won't give you broad understanding of what is going on with your app.
So, when you are choosing the best mobile Analytics platform, you need a data decoding feature which will explain why you have this statistical facilitation.
When you are choosing advanced Analytics tools, make sure that they are completely compatible with your application and are easy to use. Otherwise, they can influence download speed and performance in general.
We have chosen the best mobile app Analytics platforms for you that work seamlessly and are easy to implement.As the main criteria, we will consider two types: in-app engagement and profit-making capacity Analytics and app performance management Analytics. These are the types that cover the majority of categories.
