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Weighted Average by Customer and Product

Hi all, 


Sorry if this has been answered elsewhere, but looking for some hopefully easy help. I am new to Power BI having extensive knowledge in QlikSense. I know the logic around how this should be done (AGGR in QS) but am not finding the right/best way in DAX to handle.


Basically I would like to have the weighted average cost by customer and by product. A sample table and expected results are below. I'd like to pull this value in a whisker table with just one dot per customer and product - doing a straight average of Cost is misleading.


One small caveat - in the source data, there are different amount of rows per "cost per unit" per Customer as this is actually distribution customers, meaning Customer A might have 10 end-customers who buy through them at $1.00, 5 customers who buy through them at $0.80, etc. So we have to be careful about summing up Unit Cost and likely should use average/distinct instead.


I'm sure this is a mix of sumx, calculate, evaluate, etc but proving fruitless so far. Below is a table that I hope comes through ok.


Thank you for your help!


Product Customer Cost per Unit        Units     PurchasedTotal      Cost Weighted Average Cost 

AAdams $                   1.00 50 $         50.00 
AAdams $                   0.80 100 $         80.00 
AAdams $                   1.24 10 $         12.40 $                                       0.90
ASmith $                   1.25 50 $         62.50 $                                       1.25
ARussel $                   0.90 25 $         22.50 $                                       0.90
BAdams $                25.00 21 $       525.00 
BAdams $                30.00 10 $       300.00 $                                     26.61
BSmith $                25.00 100 $   2,500.00 
BSmith $                15.00 75 $   1,125.00 $                                     20.71
Super User
Super User



This is a measure but could also be a calculated column

View solution in original post

Super User
Super User



This is a measure but could also be a calculated column

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