Отчеты Google Analytics о поведении пользователей на экранах мобильного приложения

Now that you know what Behavior reports can offer, let’s take a more detailed look at screen tracking:



Introduction

Screen tracking measures the various screens that users visit within your app. This includes
  • what screens users are seeing, 
  • which ones are the most popular, 
  • how long users stay on each screen, 
  • and how they navigate from one screen to the next. 

In apps, screens are often used as containers that hold interactive content. Your app may use just one screen that it pushes different content into or it might have separate screens for different sections of the app.
Screen tracking can help you in a number of ways. For example, if each level of a game used a different screen, you could track what percentage of people pass through each level. If there’s a level that has massive user drop-off, that may indicate that there’s a technical issue associated with a level or that a level is too hard. You might also find a screen that captures users’ attention and decide that it’s a good candidate to host ads. Keep in mind that screen tracking collects data about the screen itself, rather than the individual elements contained within the screen. For that, you can use event tracking, which we’ll discuss in the next lesson.

Go Fish! screen tracking

The Go Fish! app uses different screens for each level in the game. It also uses separate screens for sharing high scores and for its in-app bait and tackle shop where users can buy virtual fishing equipment. The Great Outdoors tracks these screens to better understand how users move in between levels, and from which levels they bought equipment in the game. Screen tracking can also help the business discover which screens drive the most traffic to their in-app store.
Now let’s look at the Screens report for Go Fish! within AdMob. This report breaks out screen usage metrics like the number of total screen views, unique screen views, average time spent on a screen, and the percentage of users that exited the app from a specific screen.
Looking at this data, we can see that the average time spent on the in-app store screen is relatively high and has a low exit percentage. This indicates that users are highly engaged with the in-app store and that this screen might make a good candidate for advertisements or for real-life fishing equipment offers from The Great Outdoors’ retail store.
We can also see that the exit rate on the “Game Over” screen is particularly high. This could mean that The Great Outdoors isn’t incentivizing users to play the game again. They may want to add a button that lets users easily restart the game or offer some assistance to get them past their current level.

Conclusion

Screen tracking data can help you design a better app experience for your users and provide insight into what screens engage them the most.

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