What type of Analysis is needed?


New Member
I am trying to find out which variables in my database can help predict if a person will have a loyalty card with Company A, B or C.
I basically have data on each person : socio-demo, information on the loyalty card they have, the number of time they use it for, what they have bought etc.
I am trying to find a way to predict that if a person has varaible 1, 2, 3 > 10 then they will have loyalty card with Company A. If they have varaible 4, 6, 8 > 50 then Company B.
I just want some thoughts on this and different statistical way to do this. I thought of Clustering, but I don`t know if in clustering you can force one variable to be the cluster and then see what the differences are.
Any ideas would help,
Thank you,
I'm assuming you can have multiple loyalty cards, each with different companies. Then it seems to me that a logistic regression model for each company might be the way to go.