Features & Models to compute the probability of certain customer accepting an offer/product from a bank? What are the features &amp; models that can be used to compute the probability of a certain customer accepting an offer/product from a bank? 

After some research, I came to know of what is called 'Propensity Scoring' and it's definition is very relevant to what I am trying to find. 

But I failed to find any technical papers going into any appreciable detail. I tried Google Scholar but reached a dead end because the term 'Propensity modeling' is actually a marketing term not exactly academic.

I also know from my search that a broader term is 'Campaign Response Models' but this turns out to be too broad and I am looking for something very specific. Any references/links that contain some technical details about the modeling process, the features or the choice of models will be very helpful.
I don't think anyone can help you with features without more information about your particular domain, but you could do worse than logistic regression for modeling:

https://en.wikipedia.org/wiki/Discrete_choice

https://en.wikipedia.org/wiki/Logistic_regression