I have obtained the causality map for my data. I have an event of interest and the evidences for the event. How do I make the use of this information to come up with segmentation/clustering such that I can increase the values of the event.

Evidences are:

  1. Number of clicks by a subscriber on various products
  2. Subscriber's age in network
  3. Subscriber's spend on the website till date

My event is given an offer on a product will s/he accept that offer?

Now I want to segment my subscribers based on those three variables such that the likelihood of accepting from the segment is high. What approach should I follow to achieve this?


By assuming my evidences are 100% cause of the event, what should I do to increase/decrease (in turn they will affect the event values accordingly) their values?


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