BookmarkSubscribeRSS Feed
Question
Fluorite | Level 6

Hi All,

 

I would like to predict in which month the individual customer is more likely to transact or to miss transactions. I have 2 years data (I have attached a sample). 

 

What is the right technique to use in this case? 

 

In case you can't see the attached spreadsheet, please see below how the data looks like..

 

Thank you so much for your help

 

customer_id WEEK_START_DATE WEEK_END_DATE No_trans Tot_sales
50026 30-Aug-15 05-Sep-15 . .  
50026 06-Sep-15 12-Sep-15 . .  
50026 13-Sep-15 19-Sep-15 . .  
50026 20-Sep-15 26-Sep-15 . .  
50026 27-Sep-15 03-Oct-15 . .  
50026 04-Oct-15 10-Oct-15 . .  
50026 11-Oct-15 17-Oct-15 . .  
50026 18-Oct-15 24-Oct-15 2 4
50026 01-Nov-15 07-Nov-15 1 2
50026 08-Nov-15 14-Nov-15 2 4
50026 15-Nov-15 21-Nov-15 3 6
50026 22-Nov-15 28-Nov-15 . .  
50026 29-Nov-15 05-Dec-15 . .  
50026 06-Dec-15 12-Dec-15 . .  
50026 13-Dec-15 19-Dec-15 1 2
50026 20-Dec-15 26-Dec-15 . .  
1 REPLY 1
Ksharp
Super User

Poisson Regression Model ?

Check 

1) PROC GENMOD + REPEATED 

2)PROC GLIMMIX 

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

Register now!

How to choose a machine learning algorithm

Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.

Find more tutorials on the SAS Users YouTube channel.

Discussion stats
  • 1 reply
  • 641 views
  • 0 likes
  • 2 in conversation