I have a large data set of sales leads that are in the form of a lead_id, a sequence of binary integers that denote the order of emails and phone calls made to a sales lead, and the binary outcome of that lead (whether the lead was converted to a sale or was lost).
As an example, rows may look like:
LEAD_ID- 1 , PHONE/EMAIL_ORDER- [01101001], OUTCOME- 0
LEAD_ID- 2 , PHONE/EMAIL_ORDER- [01110], OUTCOME- 1
My goal is to find the sequence of emails and calls that maximizes the probability of getting a sale while minimizing the cost of emails/ calls. Does anyone have any ideas or algorithms to use that could output the best sequence given these parameters?