Dear list members:
I have a question and I hope you can help me.
I have a database with 22649 cases of clients who cancelled (I also have another
database with the clients that are still active, the clients that did not cancel
yet) their accounts that is modeled like this:
IDClient Month(n) Month(n-1) Month(n-2) ... Month(n-11)
Cancel Date
- IDClient is an identifier of the client (integer);
- Month(n) is how much the client spent is dollars on month n;
- Month(n-1) is how much the client spent is dollars on month n - 1;
- Month(n-2) is how much the client spent is dollars on month n - 2;
- ...
- Cancel Date is the date (mm/dd/yy) the client cancelled his account.
I need to design a model to predict, some months beforehand (maybe one or two),
that a given client will cancel its account, so I can try to get in touch with
him and try to change his idea.
What technique should I use ? Survival Analysis ? Any suggestion using SPSS 8.0
Professional ?
Can anybody help me ?
Best Regards,
Glauber Fonseca
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