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,
Good day to all,
I have been trying to create a measure to calculate number of repeated customers. To use in a matrix to filter for number repeated for each Item ID. I have used methods mentioned in the following links & been unfortunetly unsuccessful to get the accurate numbers confirmed using excel
count if $>0 (using pivot --> Num of orders: ([Rows: Item_ID, Customer_ID] [Columns: dates] [values: bookings_$]))
then ( # Reorder: sumifs # num of orders > 1 for each Item_ID)
I have included a sample of the data similar to dataset used.
The page is filtered for Bookings Only.
No date restriction.
https://p3adaptive.com/2014/12/repeat-customers-in-dax-three-flavors/
https://www.daxpatterns.com/new-and-returning-customers/
Booking Table
Customer ID | Date | Order ID | Shipping or bookeding | Item ID | Unit | $ | Net Vs Gross |
Brook_J | 02/13/2020 | Brook_J02/13/2020 | Booking | Z2345 | 5 | 15 | Gross |
John_A | 03/25/2020 | John_A03/25/2020 | Booking | E2525 | 10 | 30 | Gross |
Alice_M | 05/30/2021 | Alice_M05/30/2021 | Booking | M4045 | 8 | 40 | Gross |
Michael_T | 10/17/2021 | Michael_T05/30/2021 | Booking | G6065 | 3 | 25 | Gross |
John_A | 06/30/2020 | John_J06/30/2020 | Shipping | E2525 | -10 | -30 | Cancellation |
Brook_J | 05/20/2020 | Shipping | Z2345 | 5 | 15 | Gross | |
Alice_M | 10/15/2021 | Shipping | ZM4045 | 8 | 40 | Groos | |
Michael_T | 12/30/2021 | Michael_T12/30/2021 | Shipping | G6065 | -3 | -25 | Cancellation |
Caroline_D | 05/25/2022 | Caroline_D05/25/2022 | Booking | F9915 | 5 | 50 | Gross |
Caroline_D | 10/20/2022 | Shipping | F9915 | 5 | 50 | Gross | |
Alice_M | 01/25/2022 | Alice_M08/25/2022 | Booking | Z2345 | 20 | 60 | Gross |
John_A | 04/20/2022 | John_A04/20/2022 | Booking | G6065 | 10 | 30 | Gross |
Alice_M | 04/20/2022 | Shipping | Z2345 | 20 | 60 | Groos |
Date Table
Date | Month | Year |
01/01/2020 | Jan | 2020 |
01/02/2020 | Jan | 2020 |
01/03/2020 | Jan | 2020 |
01/04/2020 | Jan | 2020 |
Customer info Table
Customer ID | City | Country | Name | Last Name |
Brooke_j | Washington | US | Brooke | Janin |
John_A | Los Angeles | US | John | Abraham |
Alice_M | Miami | US | Alice | Morphy |
Michael_T | Texas | US | Michael | tenant |
Caroline_D | Torotno | CA | Carolin | Donway |
@ssaadat , in this blog, refer repeat and use customer and item inside summarize
example
Retained Customer This Month = sumx(summarize(Sales, Customer[Customer], Item[Item]), if(not(ISBLANK([MTD])) && not(ISBLANK([LMTD])) , 1,BLANK()))
Customer Retention Part 1:
https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-1-Month-on-Month-Retention/b...
Customer Retention Part 2: Period over Period Retention :https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-2-Period-over-Period-Retenti...
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 |
---|---|
49 | |
27 | |
20 | |
15 | |
12 |
User | Count |
---|---|
58 | |
50 | |
44 | |
19 | |
18 |