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I have a data table that contains single Sessions and the Dimension ga:userType, that states if the Session is the first session of the identified user or a subsequent one ("New Visitor" vs. "Returning Visitor"). The ga:clientId dimension tells me the actual user, how ga identifies them.
I am now trying to create a measure, that calculates the number of one-time visitors vs. the number of returning visitors: It should therefore aggregate the distinct Client Ids for all the Users that only have a "New Visitor" session and no subsequent "Returning Visitor" Sessions.
How could I accomplish that? Thanks in advance!
Solved! Go to Solution.
Ok, i figuered it out:
I need two measures on the table AnonymousSessions
Returning Visitors = CALCULATE( DISTINCTCOUNT(AnonymousSessions[Client Id]); AnonymousSessions[User Type]="Returning Visitor" ) OneTimeVisitors = DISTINCTCOUNT(AnonymousSessions[Client Id]) - [Returning Visitors]
This yields the correct data; I can now slice/dice the sessions by channel or date and see 100% accurate the returning and one-time visitors in the respective context.
Hi @jlie,
Could you please share sample data of you table and post expected result here?
Assume that you have a data table as follows.
You can create two measures.
number of one-time visitors = CALCULATE(COUNTA('Session'[ClientID]),FILTER('Session','Session'[UserType]="New visitor"))
number of returning visitors = CALCULATE(COUNTA('Session'[ClientID]),FILTER('Session','Session'[UserType]="Returning visitor"))
Thanks,
Lydia Zhang
Of course, yes. So this is the relevant structure of my table. Of course, in reality the ClientIds are the GA Client Ids and the SessionID is calculated from Client-Id and the Session-Iterator. User Type is nothing more than a if [session count] = 1 then "new" else "returning"; wether I import it as a dimension from Google Analytics or calculate it myself.
My expected Result:
The "One Time Visitors" Measure counts Clients C and D, and therefore gives me a 2.
A "Recurring Visitors" Measure counts Clients A and B, and therefore also gives me the number 2.
I think I need some nested Calculations, because the formula needs to evaluate for every single Client-Id, if it is "New Visitor", if there are subsequent Sessions with "Returning Visitor" and only then make a DISTINCCOUNT on the [Client Id] Column.
Ok, i figuered it out:
I need two measures on the table AnonymousSessions
Returning Visitors = CALCULATE( DISTINCTCOUNT(AnonymousSessions[Client Id]); AnonymousSessions[User Type]="Returning Visitor" ) OneTimeVisitors = DISTINCTCOUNT(AnonymousSessions[Client Id]) - [Returning Visitors]
This yields the correct data; I can now slice/dice the sessions by channel or date and see 100% accurate the returning and one-time visitors in the respective context.
Hello,
I am using powerBI Desktop and using the GA connector provided by PBI. How do you get the client ID and the Session Id? I don't see them in the data. Thank you.
Fred
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