Forum Discussion
Google analytics to Power BI - counters mismatch with adding new metrics and dimensions
- Hi there I have had the same issue. And it appears to be because you are using the GA cube that when you put in certain metrics it is cross referencing the data, which causes the numbers to inflate.
What I did was to have different queries where the data matches GA.
It did take me some time to read through the GA definitions to understand what the one value was which was causing the numbers to inflate. As soon as I put those metrics into their own query (table) everything matched back to GA.
The GA documentation is not very helpful in this regard.
Hey, i am trying to do the same thing and am not getting the correct value for Users.
I have tried to pull the User data alone with only a date range. The number is closer to what it should be, but still isnt correct what else can i do to get the correct User value?
The query you are trying to run should give correct values. Though in terms of users I always get little bit of disperity, but try doing the same with sessions and you should get exact values.
Issue arises when you combine User based vs session based metrics ie say Users & sessoin in one query.
In your example, Try running similar query (just users & time) in GA to see how much difference you are getting - though it should be pretty clode.
Thank you, i have run the same query in GA - the result in GA is 1726 users from 1st - 6th November - when i run it in power BI, same date range - value is 1886
So it is still out - i cant seem to figure out how to get the same value.
Try doing same may be on couple other metrices like Session, and seperately for pageviews.
If you are getting accurate results then you might have to live with the results in terms of users.