I'm finding it difficult to create a measure to find the percentage between the difference of new clients every months.
Let's say I have two tables: a date table and a client table. The date table is the usual table with date key, year, month and day. The client table is a table that has a client id and the date he joined.
What I would like to do is a measure that allows me to see the growth percentage of clients each month.
I've tried to do this:
Update on this topic.
I was able to do this by doing 4 measures:
Hi @Anonymous ,
This article may help you to write the correct measure so as to solve your problem : https://www.daxpatterns.com/new-and-returning-customers/
If not, please consider to share some sample data and an expected output so we can help you better.
I don't think this helps since its not about the purchases. Is just when they joined.
To clarify it better what I have is basically a table with
clientid | joined
1 | 30/1/2020
2 | 30/1/2020
3 | 25/2/2020
4 | 25/3/2020
5 | 30/3/2020
What I would like to have is a table with.
Month | Growth
Jan | 100% (or zero)
Feb | -50% (since we have 50% less new joiners)
Mar | 50% (since we won 50% more new joiners in comparison to last month)
For March, shouldn't the answer be 100%?
You may download my PBI file from here.
Hope this helps.
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