I need help to understand my data and to personnalize Flurry analytics.
- How can I have a view :
The new user I have acquired on Saturday, if the open the app on Sunday, and again on Monday, and again on Tuesday….
If I have 54,5 active device/day, and I have 294 sessions / days, it means that some players have launch 5 to more time the app on the same day. Sessions is : they open the app, they close the app,
How can I go deeper in the analytics, to understand the avg time / device / day, and isolate, while knowing the number of people they launch the app, they desinstall it and it counts 10 seconds of use.
Because My median session length is 8 seconds, and my Average time / device / day is 3 : 3 minutes, can i go deeper in this analysis ?
App Activity Dashboard example
- On this graph, session frequency, that means that 1 user has launch 9 times the app ? or the opposite, 9 users has launchs it 1 time…
MANY THANKS FOR YOUR HELP !!!!
The new user I have acquired on Saturday, if the open the app on Sunday, and again on Monday, and again on Tuesday….
//Navigate to the retention dashboard. The "Return Rate" metric will show you this. The "cohort" is the number of people who first launched an app on a given day.
If I have 54,5 active device/day, and I have 294 sessions / days, it means that some players have launch 5 to more time the app on the same day. Sessions is : they open the app, they close the app,
//Yes, with those numbers, at least some of your users opened the app more than 5 times.
How can I go deeper in the analytics, to understand the avg time / device / day, and isolate, while knowing the number of people they launch the app, they desinstall it and it counts 10 seconds of use.
//You could create a query in Explorer, and filter out users who only launched a single session within the time frame. You could also try using a session filter for "Duration", and eliminate very short sessions.
Because My median session length is 8 seconds, and my Average time / device / day is 3 : 3 minutes, can i go deeper in this analysis ?
//Looking at the number of sessions per person would help get an idea. In addition, as in the question above, you can filter/dimension over session length, which will let you get a better idea of the number of sessions that are very short, versus longer sessions.
#2: 9 users have launched it once