The vice president of Appsee believes that the developers of mobile applications will be better able to draw any conclusions about the behavior of users – heat maps.
Illustration: Appsee The development of social and mobile platforms has become a catalyst for a large number of new markets.
One of which, of course, is the big data market. If in 2010 it was estimated at $3.2 billion, then in 2015, according to IDC forecasts, it will earn about $16.9 billion (we are talking about software, excluding hardware).
Today, without services that collect and catalog arrays of data, it is impossible to imagine shareware games, largely based on analytics and analysis of the behavior of tens of thousands of users.
The problem is that today you can easily drown from the received data array. You can collect anything, and even catalog it, but work with them, especially if we are talking about really large volumes received from a wide disparate audience. And to draw conclusions from this is a completely non-trivial task.
Elon IvanThe solution is to start taking a different approach to data collection.
To proceed not from the question “what”, but from the question “how”, – says the vice-president of Appsee Elon Even (Alon Even).
Imagine a situation when a developer receives information that the retention of a project is falling. Looking at the numbers, you can get the answer “why” only by experimenting with content, with working with the community.
Existing analytical tools that display all statistics in a pleasant way are also unlikely to give a specific answer. Yes, they will make it easy to compare the most important figures on the project with each other, to make any assumptions. Or here, as it is possible within the App Annie, to look at the key indicators of competitors after updates. But, again, it will be possible to build only assumptions on what we have seen.
At the same time, if we collect information, including in the form of heat maps, the problems in our own application will be demonstrated more clearly,” Elon believes. Moreover, tracking the logic of behavior with the help of such tools (and the results of interaction with the application, such as clicking on such a button caused such users to freeze, which led to the closure of the application) will allow you to quickly correct the most obvious errors without having to fill the nth number of bumps.
Although, to be honest, we are not sure that such an approach will change the situation much. Perhaps it will help to arrange buttons “wisely” after the first trials on the screen, but whether it will be able to radically help developers is a big question.
Anyway, Elon predicts that soon there will be offers on the market that can also offer ways to improve performance. Although, as it seems to us, this is unlikely to go beyond any checklist embedded in the program, checking for the presence of application bindings to social networks, the size of the description, and so on.