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Anonymous
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## Sum of count in a new column/table?

Hello everyone,

Currently i am working on a customer churn dashboard. It's almost finished except for one thing which I cant solve. I want to calculate for each customer for how long he or she has been a subscriber in the last 3 years (My dataset contains only 3 years of data). What i did so far is that I entered the count of churners in the value slot and the ID's of customer in the axis slot. With this graph I can see for how many years each customer has been subscribed. however, I want to convert this data to a table. This is what I had in mind:

 ID Count of churn by ID 2100005 3 2100006 1 2100007 1

Im kind of new to PowerBI so i'm not sure how to convert this sum of count per ID in a new column/table.

1 ACCEPTED SOLUTION
Super User

@Anonymous

How many year  or  Count of churn by ID

one seems like

datediff(min[subscribe Date]), Max(Date[Date]),Year)

averaged(Values(Table[Customer]),datediff(min[subscribe Date]), Max(Date[Date]),Year) )

Where Date[Date] is date from date table used in slicer

In case you need bucketing  - https://www.youtube.com/watch?v=CuczXPj0N-k

Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

refer if needed

Customer Retention Part 1:
https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-1-Month-on-Month-Retention/ba-p/1361529
Customer Retention Part 2: Period over Period Retention :https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-2-Period-over-Period-Retention/ba-p/1377458

Super User

@Anonymous

How many year  or  Count of churn by ID

one seems like

datediff(min[subscribe Date]), Max(Date[Date]),Year)

averaged(Values(Table[Customer]),datediff(min[subscribe Date]), Max(Date[Date]),Year) )

Where Date[Date] is date from date table used in slicer

In case you need bucketing  - https://www.youtube.com/watch?v=CuczXPj0N-k

Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

refer if needed

Customer Retention Part 1:
https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-1-Month-on-Month-Retention/ba-p/1361529
Customer Retention Part 2: Period over Period Retention :https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-2-Period-over-Period-Retention/ba-p/1377458

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