I need o to implement survival analysis on conversion rates for a free trial product we provide. In general, I understand the applications on survival analysis along with dealing with right-censored data (e.g., if a customer is currently on subscription, we don't really know if they will or will not stayt in the future).
My question is,
How do you implement a survival analysis model in this context? So you may have a handful of customers that simply leave the early (these would indicate a 'death'), and you have many who are currently in the subscription (these are the censored customers). How would you go about modeling this knowing that the trial can't go on to some uncertain time in the future?
- i need a model for customer churn in R
- interpretation of the model
- follow up questions and corrections if needed
Thanks in advance
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