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Hey guys.
I need help with this solution. 😥
I have a sales funnel and I would like to calculate the conversion rate between stages.
So the idea would be to add a new column with the conversion rate of lead counts from SAL stage to SQL for example. I've always done this type of calculation but in the context of date, using previous month for example.
In my head the solution seems simple, but I couldn't find a working measure.
Solved! Go to Solution.
Hi @LelaRc ,
Here are the steps you can follow:
1. Create calculated column.
conversao =
var _Index=CALCULATE(SUM('Table'[Count]),FILTER(ALL('Table'),'Table'[Index]=EARLIER('Table'[Index])))
var _Index1=CALCULATE(SUM('Table'[Count]),FILTER(ALL('Table'),'Table'[Index]=EARLIER('Table'[Index])-1))
var _Index2=CALCULATE(SUM('Table'[Count]),FILTER(ALL('Table'),'Table'[Index]=EARLIER('Table'[Index])-2))
return
IF('Table'[Index] in {7,9},DIVIDE(_Index,_Index2),DIVIDE(_Index,_Index1))
2. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hi @LelaRc ,
Here are the steps you can follow:
1. Create calculated column.
conversao =
var _Index=CALCULATE(SUM('Table'[Count]),FILTER(ALL('Table'),'Table'[Index]=EARLIER('Table'[Index])))
var _Index1=CALCULATE(SUM('Table'[Count]),FILTER(ALL('Table'),'Table'[Index]=EARLIER('Table'[Index])-1))
var _Index2=CALCULATE(SUM('Table'[Count]),FILTER(ALL('Table'),'Table'[Index]=EARLIER('Table'[Index])-2))
return
IF('Table'[Index] in {7,9},DIVIDE(_Index,_Index2),DIVIDE(_Index,_Index1))
2. Result:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
It worked perfectly, thank you very much for your help. 😄
It would be a simple division of the current step, over the previous step, according to the index. For example, it should have this result.
@LelaRc
Great! Can you please provide sample dummy or insensitive data or otherise provide screenshots or your tables (not matrix report) and your data model with the relationships if you have any.
have a great day!
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