Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi
Im trying to construct a formula for calculating the conversion ratio. So i have a data set containing three years data and also have their sales column. Can someone please help me. thank you
1 year conversion = Count of companies who had sales > 0 in the year after the product launched / Count of companies who had sales< 0 in the year before the product launched
o 2 year conversion = Count of companies who had sales > 0 in any of the 2 years after the product launched / Count of companies who had sales in the year before the product launched
o 3 year conversion = Count of companies who had sales > 0 in any of the 3 years after the product laucnhed / Count of companies who had sales < 0 in the year before the product launched
Solved! Go to Solution.
Hi @sks2701 ,
You can create measures like this:
1 year conversion =
VAR a =
CALCULATE (
COUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] > 0
&& 'Table'[Have launched] = "Yes"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
VAR b =
CALCULATE (
COUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] < 0
&& 'Table'[Have launched] = "No"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
RETURN
a / b
2 year conversion =
VAR a =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] > 0
&& 'Table'[Have launched] = "Yes"
&& 'Table'[Year] <= YEAR ( TODAY () )
&& 'Table'[Year]
>= YEAR ( TODAY () ) - 1
)
)
VAR b =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] < 0
&& 'Table'[Have launched] = "No"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
RETURN
a / b
3 year conversion =
VAR a =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] > 0
&& 'Table'[Have launched] = "Yes"
&& 'Table'[Year] <= YEAR ( TODAY () )
&& 'Table'[Year]
>= YEAR ( TODAY () ) - 2
)
)
VAR b =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] < 0
&& 'Table'[Have launched] = "No"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
RETURN
a / b
Best Regards,
Community Support Team _ Yingjie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @sks2701 ,
You can create measures like this:
1 year conversion =
VAR a =
CALCULATE (
COUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] > 0
&& 'Table'[Have launched] = "Yes"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
VAR b =
CALCULATE (
COUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] < 0
&& 'Table'[Have launched] = "No"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
RETURN
a / b
2 year conversion =
VAR a =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] > 0
&& 'Table'[Have launched] = "Yes"
&& 'Table'[Year] <= YEAR ( TODAY () )
&& 'Table'[Year]
>= YEAR ( TODAY () ) - 1
)
)
VAR b =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] < 0
&& 'Table'[Have launched] = "No"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
RETURN
a / b
3 year conversion =
VAR a =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] > 0
&& 'Table'[Have launched] = "Yes"
&& 'Table'[Year] <= YEAR ( TODAY () )
&& 'Table'[Year]
>= YEAR ( TODAY () ) - 2
)
)
VAR b =
CALCULATE (
DISTINCTCOUNT ( 'Table'[Company] ),
FILTER (
'Table',
'Table'[Sales] < 0
&& 'Table'[Have launched] = "No"
&& 'Table'[Year] = YEAR ( TODAY () )
)
)
RETURN
a / b
Best Regards,
Community Support Team _ Yingjie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
102 | |
53 | |
21 | |
12 | |
12 |