As it stands the report seems to be of very limited use. The attribute report just shows the overall attributes that had the highest impact on your KPI (in our case clicks) and our list just has the Target basics all the way out to the top 10—time of day, browser type, etc, not much actionable that a business could do with that information.
The Segment report shows the segments but no information why the system created different segments (in our case there were about 216 segments made by the AI engine). Is there some way to understand why the system created different segments? We are curious how when we only get 9,444 clicks a month on the spot where we are using Sensei, how the system can draw statistically significant distinctions between 216 segments for those clicks? That’s only 44 clicks per segment on average.
The report doesn’t show any relation between the segments and their component variables on one side, and the creative variations on the other, other than going line by line and having to parse each group of segment variables for each creative offer separately—an almost impossible task with 216 segments (you can’t see anything about the creative offers in aggregate). What we would strongly recommend as an enhancement to this report is a creative focused report, that, for each piece of different creative, shows 1.) the attributes that caused folks to convert on that creative, and 2.) what the top segments that clicked on that creative were, etc. And then 3.) some sort of explanation of what causes a new segment to be created by the AI engine.