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,
I need to calculate the average spend for new customers in the previous month. However, it needs to be only for customers that have had at least 2 visits in that previous month.
Formula: Spend of new customers with >=2 visits in previous month / no. of new customers with >=2 visits in previous month
Fact table below - it also has a column for spend
Fact table:
Date dimension is joined on visit date.
New customer is defined by their reg date. So the dax should count customers that registered and had two visits in the previous full month.
From the above, only customer 1 should be counted, as customer 2 didn't have a registration date in the previous month.
Any help would be appreciated. Thanks!
Solved! Go to Solution.
Hi @pbi_baller ,
Maybe you can try this code:
AVG =
AVERAGEX (
FILTER (
CALCULATETABLE (
SUMMARIZE (
FILTER ( 'FactTable', MONTH ( [Reg_date] ) = MONTH ( [Visits date] ) ),
[Customer_ID],
"count", IF ( COUNTROWS ( 'FactTable' ) >= 2, 1, 0 ),
"spend", SUM ( FactTable[Spend] )
),
PREVIOUSMONTH ( 'Calendar'[Date] )
),
[count] <> 0
),
[spend]
)
Result:
Pbix file in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @pbi_baller ,
Maybe you can try this code:
AVG =
AVERAGEX (
FILTER (
CALCULATETABLE (
SUMMARIZE (
FILTER ( 'FactTable', MONTH ( [Reg_date] ) = MONTH ( [Visits date] ) ),
[Customer_ID],
"count", IF ( COUNTROWS ( 'FactTable' ) >= 2, 1, 0 ),
"spend", SUM ( FactTable[Spend] )
),
PREVIOUSMONTH ( 'Calendar'[Date] )
),
[count] <> 0
),
[spend]
)
Result:
Pbix file in the end you can refer.
Best Regards
Community Support Team _ chenwu zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Bumping the post. Can anyone help? Thanks
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 |
---|---|
47 | |
24 | |
20 | |
15 | |
13 |
User | Count |
---|---|
51 | |
46 | |
39 | |
19 | |
19 |