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How to choose the best cross platform mobile analytics tools

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Vlad Dm
How to choose the best cross platform mobile analytics tools
Analytics for mobile apps is a vital component needed to figure out how a mobile app works and what you need to do to enhance it and acquire users. Every year we get lots of new analytical tools and the decision-making process becomes more and more complicated. As a rule, developers use several analytical tools to get comprehensive data about the state of their app on the market. This article is about a research we've done to find the best analytical instruments to help developers create the best apps.  

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.
 
types of mobile apps analytics
Mobile Analytics types
 
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. 

App performance management Analytics

Here are some of the best tools to collect data connected with app performance management Analytics:

Firebase Analytics

Firebase Analytics is a tool with free and premium accounts and covers IOS and Android platforms. It is actually a set of applications from Google for mobile developers. Along with mobile app Analytics, it offers instruments for your own iOS or Android app development. The system has a built-in monitoring board to track users' behaviour and interconnected capacity. As well as that, you can export all raw data into BigQuery for users' requests.
 
Firebase mobile analytics
Mobile app Analytics platform - Firebase
 
The system has some peculiarities, such as crash reports, deep links capacity, in-app-purchase data, segments and behaviour explanation.

Appsee

If you want to try Appsee, you have fourteen days to do it for free. After that, you will need to pay. Just like the previous tool, Appsee covers IOS and Android platforms. The software provides quantitative and qualitative Analytics. They offer visual data about your application with heat sensor maps and user session reports. Apart from numerical data, the platform explains the nature of this data. Which means it optimizes the process data to information performance.
 
appsee mobile analytics platform
Mobile analytics platform - Appsee
 
The system is characterized with heat sensor maps, user session records, crash reports, group research of actions, data storage and navigation routes. 
 
 
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