brand switch analysis

[Anonymous]

Hi,

I want to do a brand switch analysis, 

i have following table, where in 2020/6 the brand "ABC" did an advertising campaign for their product "water".

I want to get 3 values:

1) new customer (during campaign) -> 1 (customer id no. 2)

2) brand switch (during campaign) -> 1 (customer id no. 1, switch from DEF to ABC)

3) repeat (no change in purchase behaviour)  -> 1 (customer id no.3 , no change before and after the campaign bought ABC's water)

year-month	customer id	product (bought)	brand name	advertising flag
2020/5	1	water	DEF
2020/5	3	water	ABC
2020/6	2	water	ABC	yes
2020/6	1	water	ABC	yes
2020/6	3	water	ABC	yes

[amitchandak · Accepted solution]

@Anonymous , for the new customer, you can column/measure rank of Month inside the customer , so rank one means new.

For Rank Refer these links
https://radacad.com/how-to-use-rankx-in-dax-part-2-of-3-calculated-measures
https://radacad.com/how-to-use-rankx-in-dax-part-1-of-3-calculated-columns
https://radacad.com/how-to-use-rankx-in-dax-part-3-of-3-the-finale
https://community.powerbi.com/t5/Community-Blog/Dynamic-TopN-made-easy-with-What-If-Parameter/ba-p/367415

[Anonymous]

thanks, these articles were helpful!

I thought I'd share my solution quickly.

new customer=

RANKX(

FILTER(

     'table',

          [product_name] = EARLIER([product_name])

   && [customer_id]=EARLIER([customer_id])

),

[date],,ASC

)

brand-change customer =

IF (

COUNTAX (

FILTER (

        'table',

              [customer_id] = EARLIER([customer_id])

       && [date] <= EARLIER([date])

       && [product_name] = EARLIER([product_name])

       && [brand name] <> EARLIER([brand name])

), [customer_id]

) = 1,

1,

0

)