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BloodBorne
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2 years ago
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Counting Subscription Users

Hi All,   Thanks for your help in advance.   This is my dataset below Customer ID Customer Registration Date Customer Subscription Date Customer Expiration Date 1 01/05/2024 01/05/202...
  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi BloodBorne ,

     

    According to your description, here are my steps you can follow as a solution.

    (1) My test data is the same as yours.

    (2) We can create a DateSlicer Table.

    DateSlicer = CALENDAR(MIN('Table'[Customer Expiration Date]),MAX('Table'[Customer Expiration Date]))

    (3) We can create a measure. 

    Count = 
    var _a= COUNTROWS(FILTER(ALLSELECTED('Table'),'Table'[Customer Expiration Date]>=MIN('DateSlicer'[Date])))
    var _b= COUNTROWS(FILTER(ALLSELECTED('Table'),[Customer Expiration Date]=BLANK()))
    RETURN _a+_b

    (3) Then the result is as follows.

    Best Regards,

    Neeko Tang

    If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly. 

  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi BloodBorne ,

     

    We can update the DateSlicer table.

    DateSlicer = ADDCOLUMNS( CALENDAR(DATE(2024,1,1),DATE(2025,12,31)),"Year",YEAR([Date]),"Month_num",MONTH([Date]),"Month",FORMAT([Date],"mmm"))

    Then we can create a measure.

    Count2 = 
    var _day= EOMONTH(DATE(MAX('DateSlicer'[Year]),MAX('DateSlicer'[Month_num]),1),0)
    var _a= COUNTROWS(FILTER(ALLSELECTED('Table'),'Table'[Customer Expiration Date]>=_day))
    var _b= COUNTROWS(FILTER(ALLSELECTED('Table'),[Customer Expiration Date]=BLANK()))
    RETURN _a+_b

    As of the last day of June 2024, there were six active users.

     

    Best Regards,

    Neeko Tang

    If this post  helps, then please consider Accept it as the solution  to help the other members find it more quickly.