The absence of direct bidirectional communication between the user and the developer has established in most cases the user’s analysis as a way of understanding the behavior of the main user. As the application development industry continues to feel the pressure of the competitive environment, user analysis services are becoming increasingly important.
Let’s quickly look at the three main types of analytical tools that application developers often use.
Google Mobile App Analytics
Google Analytics is one of the most used analysis tools and is considered the most powerful and powerful of its kind. It started with web analytics and gradually expanded its support for mobile applications:
Google Mobile App Analytics.
Google Mobile App Analytics runs on others when it comes to an in-depth analysis of e-commerce and revenue. It can help you track payments in the application of the transaction data and recognize the areas that generate the maximum revenue.
Unlike the data capture of user behavior, Mobile App Analytics has an advanced user budget, which gives it an advantage over the rest. With its advanced categories, the advanced segment offers developers the opportunity to take advantage of it by using their own customized segments, which allows them to customize the reports that relate to their commercial area.
Although it is compatible with Android and iOS platforms, there is more information related to Android than iOS.
It has excellent e-commerce reporting capabilities.
It has a keen sense of the user’s demographics.
Integration with Google Play for conversion tracking.
It comes as a free service
Missing Mixpanel retention analysis capabilities.
It does not provide an easy way for the a / b mobile test.
Only for Android and iOS
An exclusive analytical tool created for mobile applications, Flurry Analytics is another widely used alternative for tracking mobile conversions. Flurry Analytics is compatible with almost all major mobile platforms such as iOS, Android, Windows Phone, Blackberry and Java ME.
Although Flurry tends to seem a bit more complicated than Google’s analysis of mobile applications, the complex structure leads to deeper data access, making it a popular alternative for many others.
For each application you look at here, you can use the Flurry Classic board or build up to 10 custom panels. The data collected through the characteristics of the panel are more detailed, for example, they offer a better vision of the scenario of acquisition of traffic in different marketing channels, such as mobile advertising networks, the mobile web and email campaigns.
In addition to monitoring the types of users and user behavior based on the applications used, Flurry Analytics will also follow the types of devices, operating systems, etc.
Not only limited to iOS and Android.
Free service for mobile applications.
It offers multiple panels.
It has no retention capacity / cohort analysis.
Unlike Google Analytics, locks are not easily identified.
Strictly limited to mobile applications.
Mixpanel is another popular analysis tool that is used to calculate user engagement for both mobile devices and the web. Compared to Google Mobile App Analytics and Flurry Analytics, Mixpanel has the simplest user interface.
The Mix Panel SDK has segmentation tools that are capable of analyzing essential and complex questions. This allows you to retrieve more of your data, for example. how users of your app invite their friends, which AdWords campaign gives you the largest number of paying users, and so on. The Mix Panel funnel analysis can follow where the user is deleted during each event.
Mixpanel has unique retention capacity or cohort analysis that gives it an advantage over the rest. This allows you to track when and how often your customers return and relate to an application.
Your targeting system can also group users of a client into similar profiles and show their activity feed.
The only downside of this tool is the restriction of 25,000 data interactions for the free service, which forces users to purchase the Premium service for more visibility.
-Data segmentation can answer complicated questions.
– You can follow the retention of user involvement.
More focused on measuring user involvement.
– It meets both the mobile communication media and the web.
Payment Service It has a monthly price based on how many data points and profiles have been used.