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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))

 


@ me in replies or I'll lose your thread!!!
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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!!!
Become an expert!: Enterprise DNA
External Tools: MSHGQM
YouTube Channel!: Microsoft Hates Greg
Latest book!:
Learn Power BI 2nd Edition

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