Check your eligibility for this 50% exam voucher offer and join us for free live learning sessions to get prepared for Exam DP-700.
Get StartedDon't miss out! 2025 Microsoft Fabric Community Conference, March 31 - April 2, Las Vegas, Nevada. Use code MSCUST for a $150 discount. Prices go up February 11th. Register now.
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.
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Check out the January 2025 Power BI update to learn about new features in Reporting, Modeling, and Data Connectivity.
User | Count |
---|---|
23 | |
20 | |
13 | |
10 | |
10 |