To give a little more context: I am trying to model marketing campaign effects. The data contains several (discrete) campaign properties and effects in term of KPIs which are continuous (e.g. Revenue).
By doing inference, the goal is to see what type of campaigns are most likely to increase certain KPIs.
Any tips on how to proceed?