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MPetramalo214
Helper I
Helper I

Loop Through Each Row of a Table to Determine If They Showed Up Again

I'm trying to come up with something to track the amount (or percentage) of "recurring" customers.

What I want to do, is check through a table of reservations that occured, and determine 

1) How many unique customers had reservations

2) How many of these customers, also had a reservation in the 90 days prior to their start date.

 

Example: 

MPetramalo214_1-1636397673286.png

I know how to get the count of the 8 distinct customers in the list shown above, but I'm stumped on how to loop through the table again to see if they had a different reservation no more than 90 days prior. 

1 ACCEPTED SOLUTION
Greg_Deckler
Super User
Super User

@MPetramalo214 Maybe:

 

Measure = 
  VAR __Table = 
    ADDCOLUMNS(
      ADDCOLUMNS(
        SUMMARIZE(
          'Table',
          [Owner Id],
          "__LastDate",MAX([Check-In Date])
        ),
        "__PreviousDate",MAXX(FILTER(ALL('Table'),[Check-In Date]<[__LastDate] && [Owner Id]=EARLIER([Owner Id]),[Check-In Date])
      ),
    "__Diff",([__LastDate] - [__PreviousDate]) * 1.
  )
RETURN
  COUNTROWS(FILTER(__Table,[__Diff]<90))

 


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View solution in original post

1 REPLY 1
Greg_Deckler
Super User
Super User

@MPetramalo214 Maybe:

 

Measure = 
  VAR __Table = 
    ADDCOLUMNS(
      ADDCOLUMNS(
        SUMMARIZE(
          'Table',
          [Owner Id],
          "__LastDate",MAX([Check-In Date])
        ),
        "__PreviousDate",MAXX(FILTER(ALL('Table'),[Check-In Date]<[__LastDate] && [Owner Id]=EARLIER([Owner Id]),[Check-In Date])
      ),
    "__Diff",([__LastDate] - [__PreviousDate]) * 1.
  )
RETURN
  COUNTROWS(FILTER(__Table,[__Diff]<90))

 


@ me in replies or I'll lose your thread!!!
Check out my External Tool for Power BI Desktop! Microsoft Hates Greg's Quick Measures
YouTube Channel! Microsoft Hates Greg
Check out my latest book!

View solution in original post

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