Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi there,
I would like to to calculate the total of repeats/returning customers for a certian period.
So my first measure for the below "Distinct email Count", I use = CALCULATE(DISTINCTCOUNT(Table[Column]
Then a simple = IF([Distinct email Count] > 1, "Returning", "Not")
How will I be able to get the total of value for Returning and for Not?
I know there are a couple of articles on New, Lost Customers but just looking for a simplified version of identifying returning customers for a sanity check.
Any ideas?
Kind regards
Solved! Go to Solution.
@amitchandak - thanks for your reply. I might not have been clear with question, however, I managed to get it working with
Hi @Axiomite ,
If the problem has been solved you can mark the reply for the standard answer to help the other members find it more quickly. If not, please point it out.
Looking forward to your feedback.😊
Best Regards,
Henry
Returning = countx( filter(summarize(Table, Table[Year], Table[Month], Table[email], "_1", CALCULATE(DISTINCTCOUNT(Table[Column] )) ) , [_1] >1) ,[email] )
not = countx( filter(summarize(Table, Table[Year], Table[Month], Table[email], "_1", CALCULATE(DISTINCTCOUNT(Table[Column] )) ) , [_1] <=1 ) ,[email] )
@amitchandak - thanks for your reply. I might not have been clear with question, however, I managed to get it working with
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 52 | |
| 37 | |
| 35 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 72 | |
| 70 | |
| 39 | |
| 34 | |
| 23 |