Looking at trying to determine the dependent variable in a customer churn problem for a car dealership.

Right now my customers make two types of purchases (oil changes, maintenance) and big ticket purchases (purchase of a car).

Trying to determine the probability that a customer has left for good if I have not seen them in a month, in 6 months, etc. Looking at this at the most basic level (just if the customer shows up for a service etc.)

Thinking that this involved looking at the time in between events at the minimum but a little stuck on how this translates into "the customer never showing up again."

Requesting advise in terms of the approach (bayesian, frequentist, etc) and a method for measuring.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.