Hi there, we send 2 to 3 newsletters per week. Currently, we segment users based on their previous email interaction through segment extensions. For instance, we send one campaign per week to the full database, the second campaign only to users who have opened at least X emails in the last 3 months and the third campaign only to users who have opened at least Y campaigns in the last month or have clicked at least Z campaigns in the past month. Is there a way to build a scoring model based on (real) opens and clicks that also takes into account when the action has occurred? So that the score increases every time a user opens or clicks, but also decreases when a users does not engage for a certain period? Ideally, clicks should have a higher score than opens, and only real opens should be considered.
Every suggestion in much appreciated :)
