In my Google Analytics account, the Users count is 0 while Active Users count is 1.
Why is the active user is not being identified as Unique User in Google Analytics?
I just checked after 21 hours of Account creation and still the User count is 0 while in graph it is one for yesterday data.
Here is attachment
If you look carefully you will see that the Users are set to 'Last 7 days' (which does not include today) while the Active User count is real-time. You can tweak the time period settings, but Users will never keep up with Active Users anyway because GA is always a bit behind re everything that isn't real-time.
Related
For a selected date range (last 3 days) I am getting a difference in Active Users and Total Users count. No segment or filter is applied, it is for overall events tracking. I am using Google Analytics 4. If I look for specific events using a filter the value matches. Why is the count different in this case?
If I'm not mistaken, I believe Active Users are the one who engaged (aka didn't bounce, aka did more than 1 request besides the page view to start a session.
This was what I understood from their API help (link here)
In firebase analytics: If I (as a user) uses an app three time in a day, then will it be counted as three user ? or one user with three session ? Please answer.
Thanks
Vipin
Active users reports count the number of unique users that were active in a given time period. So if a single user is active multiple times in a day, they'll count as a single active user.
I do not know if it is a mistake, but I did a test here in Google Analytics.
I went to Public > Overview, I ran from 09/12/2018 to 11/12/2018. I add the 'points' and in the end gave the result of 106 users, however, just below the graph appears the total, and he reports 102 users.
Detailing:
09/12 - 36 users
10/12 - 34 users
11/12 - 36 users
Total: 106 users.
Is it a bug in the Google Analytics report?
I'm using the Google Analytics API to show the access reports inside the client administration panel, the results reported by the API are correct adding the sum, already on the platform of Google Analytics itself there is this divergence.
this is not a bug. users are reported as the number of users for the whole time period. So if user a user had two visits on 09/12 and 10/12 she would be reported as 1 user for each daily row but only as 1 user for the whole period row
as from API docs:
ga:users
UI Name: Users
The total number of users for the requested time period.
I built an app and I would like to differentiate the behaviours of my users regarding their activity levels.
Objectives : make monthly users become daily users by understanding how daily users use the app vs monthly users and trying to narrow the gap between them.
I am well aware of the Daily / Weekly / Monthly active users Firebase offer but it is still a snapshot at a specific time.
Basically, if someone open a session at least one time during 20 days / month => highly active users, if someone opens it at between 7-20 times a month => medium active user, if someone opens it less than 7 times => low active users.
Do you have any clue on how to split these to then understand their behaviour?
because you are tagging your question firebase database that means you want to do it programmatically.
you can make a field in user node name it counter and every time the user login to the app you just increment the counter and make a query to bring the count that's it.
New to Google Analytics and couldn't figure out how to get this to show.
I would like to figure out how frequently a user visits our site after they've registered. The reason is I want track their engagement following their registration.
So let's say user registered at week 0, I want to figure out how many times they come back in week 1, week 2 and week 3. This way I can tell whether users tend to stay engaged for first 2 weeks, then slowly loses interests, or their interests grows as the weeks goes by after they've registered. Any idea on how to achieve this?
Thanks!
Set a custom variable at visitor level when your users register. Use that to build a segment for visitors that have at some point registered at your site. Apply that segment to the "frequency and recency" report (audience->behaviour->frequency and recency).
The custom variable will allow you to recognize visitors that have registered (even if they are not currently logged in) until they change browsers or delete their GA cookies.