Platform Mobile Analytics Tools For Efficient App Management

Analytics is crucial for an effective app management. Modern app analytics tools let you know whether your app is functioning as it should or there is a need for upgrading. Nowadays, the selection of these tools is impressive. The choice of the right tool helps not only speed up your return on investment for, let’s say, the cost of outsourcing app development or any other development expenses but also arrange future business outgoings. So, how to figure out the best ones? Read a brief review of top cross platform tools for analytics.

Kinds of Mobile Apps Analytics 

To make the right choice of an analytic tool for a particular task fulfillment, one needs to understand what he is going to analyze right now. Analytics is a general term, which covers different criteria of apps’ functioning. Commonly, seven types of mobile app analytics are distinguished, 

  1. Analysis of monetization helps to estimate the entire marketing efficiency and understand the needs of your customers.
  2. App store. This is an important sector of analytics, which allows for comparison of your app to your competitors’. With app store analytics tools you’ll estimate your ranking in stores, your overall income, customer reviews and so on.
  3. App interaction. This type of analysis helps to see how a user utilizes the app, why and on what stage he closes it. Thanks to the data collected, you’ll find out whether you need to improve usability or design.
  4. App performance. Another crucial scope of analysis, which is necessary for timely bugs and other problems detecting throughout various operating systems. These tools are used on a regular basis by serious developers. There are certain types of apps, where the possibility of bugs should be zero, as even a small mistake can become fatal.
  5. Tools of this analytics sector allow for tracking of advertising efficiency, evaluating expenditures for ads and overall revenue from it.
  6. Mobile browsers. Analytic tools of this section help to assess users’ behavior and their interaction with your products via browsers. Also they are used for calculating conversion rates.
  7. In-app engagement. Analytics of this type shows all users’ actions within the app – how frequently and for how long the app is used, how many times it was downloaded and so on.

Your choice will depend on the particular task you are going to fulfill. But the majority of apps developers, first of all, want to estimate app performance and its profitability (i.e. in-app investment). The list of analytical tools of this type is probably the most impressive. Let’s review the best cross platform instruments, which are without-doubt worth looking at. Most of them are iOS and Android app analytics tools, though there are some options that support other platforms.

App Performance 

Firebase Analytics

A multi-purpose tool for iOS and Android, which is based on Google Analytics. It provides a large variety of tools for app functioning estimation and users’ behavior assessment. In particular, you can get crash reports, detailed in-app purchase information and even export data to BigQuery. Firebase Analytics is a must-have for mobile developers, especially for those with big data bulk. 

Appsee

This software has a free trial period of 14 days and runs on both iOS and Android. It allows for making a good qualitative and quantitative app analysis. Qualitative data is represented with the help of heat sensor maps and standard reports of user sessions. As for quantitative analysis, Appsee offers the ways for these indicators improvement. It is a great and very convenient tool for all types of apps. 

In-App Engagement

Tools for in-app analyses are much more diverse – you’ll find a lot of instruments with similar functionality. Let’s review the most efficient ones. 

Amazon Mobile Analytics

You are provided with a fee-free account for the first year of the software utilizing; after that you’ll need to pay for the access to your account. It works not just with Android and iOS, but with FireOS and Unity as well. As for capabilities, Amazon mobile analytics lets measure income and user activity, track user behavior and major trends. 

Facebook Analytics

The good news is that you can use it for free on iOS, Android, Web and Mobile Web. It provides comprehensive data of all app users who have Facebook accounts. With Facebook analytics, you can measure such indicators as conversion and retention rates, full demographic data and detail of user in-app behavior. 

Adobe Analytics

This is an advanced powerful instrument, which is available for corporate customers only. It has no free of charge accounts and costs a lot. Among the benefits of Adobe analytics, there is a very detailed real-time analysis of user behavior. With it, you'll really be able to detect all strong and weak points of your app and understand how to raise conversion and reduce rejection rate as well as conversion channels. 

AppAnalytics

A very interesting platform with a free trial account. It is really packed-up with features. Some of them are sensor/heat maps, push-notification and gesture recognition. It lets analyze conversion funnel, overall app’s usability, and many other parameters. Finally, it is really small. 

Amplitude

This platform obviously falls into the category of advanced analytics tools. Distinctive features of Amplitude include API support, an opportunity to working with SQL databases and tracking a large number of events. It also tracks and displays the most common users’ ways to “buy” or “order” buttons, which allows for more efficient analysis. Unfortunately, you can use it for free for 10 million events per month only. A corporate account is rather expensive. 

Devtodev

An advantage of this platform is its versatility – it works on the majority of OS and has both free and paid versions. Its usability is superb – for example, it has an adjustable toolbar with an opportunity of dashboards segmentation in accordance with your projects. Another benefit is an opportunity of adjusting metrics according to your needs. It shows user LTV, user retention, daily trends and a lot of other parameters. 

It was a brief review of the best mobile analytics tools. For the best result, you may need to use more than one tool. Try several platforms, using this mobile analytics tools comparison review, and find your ideal combination. Keep in mind that more instruments give more data for analysis.

X

Build smarter apps with Machine Learning, Bots, Cognitive Services - Start free.

Start Learning Now