Andrew S.

The % sign shows automatically if it's something they calculate like “compare to overall” feature.

To my knowledge there isn't. I always just do *100 in the formula so it's 55 not 0.55 and put % in the title of the insight.

I like to think of it this way.

If I am reading your question and images correctly, in image 1 (left), you are getting the total events of "level_end" where level status is win OR level status is wine and >0. In practical terms, that will be "level status is win" since the OR makes the broader filter cover the narrower filter. In your second example (on the right), Metric A will return the same as your first example, since it's just level_end where level status is win. But you will also get a second result with Metric B which is just the narrower case of level_end where level status is win and hint used is greater 0.

I just checked the last time I did it and I only see the "last seen" data on a profile object. Obviously I can export the events an get that data to do a join and find the first event date, but the engage profile export itself did not have the first event date in it.

Ugh. If I needed more specifically the “tie in” I'd probably do the export, import to Sql and then do a group by ID to see where ids have 1 event vs 2.

How many times does an average user do this event? It would be very annoying, but you could do a cohort where event one equals zero and event two is greater than zero. Then a separate cohort where event one equals one and event two is greater than one. And so on. Then you could look for situations where any of those cohorts are involved.

In a separate but related note, I have noticed instances in our data where the timing of events does not coincide with the timing of the actions. In other words, B comes before A in Max panel, but in reality the user did A before B.

Could you do a cohort that identified users that had a count greater than one for completion, but equal to zero for started