How can I use the Adobe clickstream data and then run correlation analysis or segmentation to identify factors causing friction?
Idea is to define deviation as moving to any path that doesn’t lead to an app start( product application page), I thought of using application page as one focus node and backtracking and capturing the data in csv to define frictions. Does anyone have any other approach which is efficient as well, mine would be brute force looking all the way down.
Thanks @LoveeshK , what would be the ideal way or formula if I would want to define friction score in terms of deviation rate and exit rate. Consider an example:
A -> B -> C: Ideal journey
A -> B -> D -> C : Deviated Path
Can deviation rate be defined as total people following deviated path/ total people who reached C from A?
