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andrewjmdata
Obsidian | Level 7

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 

 

3 REPLIES 3
PGStats
Opal | Level 21

Use option groups=3 in the proc ranks statement and variable month in the var statement.

PG
andrewjmdata
Obsidian | Level 7

Thanks PG. I'll give it a go.

Reeza
Super User

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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