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Frequent Visitor

Churn with Dax

I would like to see the number of customers lost each year by comparing the number of active customers from the last 12 months who were already active the 12 months before. So you need to identify the customer IDs of 2022 for example and check which ones returned in 2023, and have this data over 24 floating months. So for example for January: Look at customers who came between January 31, 2022 and January 31, 2023 who returned between February 1, 2023 and January 31, 2024.

Can you help me?


Frequent Visitor


 I want to see in the last column if a client id is inactive or if it is a new client. The date table starts from April 2021 to frebruary 2024. thanks

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Capture d’écran 2024-02-28 à 09.41.28.png

That's a screenshot. Please provide data in usable format.

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@lbendlin  so I have a list of customers, if the customers do not order for a year they become an inactive customer. example if the customer had an order in 2022 and did not place an order in 2023, it becomes inactive. thanks

Super User
Super User

yes, DAX has just the right command for that - EXCEPT.


Please provide sample data that covers your issue or question completely, in a usable format (not as a screenshot).

Do not include sensitive information or anything not related to the issue or question.

If you are unsure how to upload data please refer to

Please show the expected outcome based on the sample data you provided.

Want faster answers?

id customerlast_interaction_date 
915$100jeudi 10 décembre 2015 
915$1006vendredi 10 janvier 2003 
915$1008lundi 18 juillet 2016 
915$1019mardi 16 décembre 2003 
915$1023mardi 10 mars 2020 
915$1029lundi 12 septembre 2005 
915$1032mardi 8 mai 2007 
915$1036vendredi 4 août 2006 
915$1037mercredi 4 avril 2007 
915$104lundi 2 juillet 2012 
915$1042mercredi 27 octobre 2021 
915$1043lundi 28 août 2006 
915$1053vendredi 31 janvier 2003 
915$1054lundi 3 mars 2003 
915$1060mercredi 25 août 2010 
915$1062jeudi 6 février 2003 
915$1065lundi 1 juillet 2013 
915$1067jeudi 13 janvier 2022 
915$1068lundi 27 novembre 2017 
915$1073jeudi 12 avril 2018 
915$1074mardi 12 septembre 2017 
915$1075lundi 23 septembre 2013 
915$1076vendredi 21 novembre 2014 
915$1082jeudi 17 novembre 2022 
915$1083samedi 15 février 2003 

Sorry, your sample data is insufficient for that




Please provide sample data that fully covers your issue.
Please show the expected outcome based on the sample data you provided.

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