Hi, I have a table of 100,000 customers. I have the month when they started buying from my client. The range of months is 1-200.
What I want to do is break that down into 1/3rd's for example out put might be:
1st 1/3 (33%) of customers bought in months 1->12
2nd 1/3 (33%) of customers bought in months 13->124
3rd 1/3 (33%) of customers bought in months 125->200
I think the solution is to use proc rank but can't seem to get month breaks based on volume of customers.
Make sense?
Thanks
Andrew
Use option groups=3 in the proc ranks statement and variable month in the var statement.
Thanks PG. I'll give it a go.
It depends a bit on your data structure - quite a bit - and how your'e defining month. If months are 1 to 12 are the same for each customer for example, or do they relate to when a customer first joined the company.
Also you may want to use survival analysis instead of just times as that accounts for accounts still open/active more accurately than just just using accounts.
@andrewjmdata wrote:
Hi, I have a table of 100,000 customers. I have the month when they started buying from my client. The range of months is 1-200.
What I want to do is break that down into 1/3rd's for example out put might be:
1st 1/3 (33%) of customers bought in months 1->12
2nd 1/3 (33%) of customers bought in months 13->124
3rd 1/3 (33%) of customers bought in months 125->200
I think the solution is to use proc rank but can't seem to get month breaks based on volume of customers.
Make sense?
Thanks
Andrew
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