Revived customer

[Rohan459]

Hi,

I'm trying to define customers according to whether they have "woken up". We have done some marketing campaigns and want to review their results. For this I would like to see the following: customers who have bought products before 2019 and have stopped and who have made another order afer july 2022.

So imagine you have been a customer to our company and for whatever reason stopped purchasing, but after you have seen our marketing campaigns you decided to place an order again. 

The datamodel is really simple. I have 2 tables, 1 with order lines with orderNo_, customerId, itemNo_, amount, orderDate and one with customer data.

Does anyone from the Power BI community have any ideas on how to tackle this?

[v-xiaotang]

Hi @Rohan459 

Thanks for reaching out to us.

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If you need more help, please let me know.

Best Regards,

Community Support Team _Tang

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[speedramps]

Try these measures ...

HasPre2019 = NOT(CALCULATE ( ISEMPTY(sales), Sales[orderdate] < DATE(2019,01,01)))

HadStop =  
CALCULATE ( ISEMPTY(sales), 
Sales[orderdate] >= DATE(2019,01,01) && Sales[orderdate] < DATE(2020,07,01))

HasPostJuly2020 = NOT( CALCULATE ( ISEMPTY(sales), Sales[orderdate] >= DATE(2020,07,01)))

HasReturned =

IF([HasPre2019] && [HadStop] && [HasPostJuly2020], 1, 0)

then add a blank report page canvas with a report visual with the Customer and HasReturned

How it works:-

the CALCUATE command changes the filter context using the order date

the ISEMPTY command is good method of checking if data exist or not and is much faster than counting and then checking for > 0

the NOT command reverses the ISEMPTY from false to true.   
i.e. returns true if it has data for the order date filter context,  and false if it does not.

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