I love mixpanel, and this looks really promising. There&#x27;s still a bit too much magic to my liking here. Not entirely sure how accurate this thing is... I asked their support how their algorithm calculates the grades, and this is what they said:<p>&gt; <i>&quot;In essence, it analyzes users who have converted and not converted on the specified event in the past, and attempts to construct a few default profiles based on the characteristics of those users, both in their events behavior and their people properties. Then, it compares these default profiles to your actual people profiles, and places each profile in the bucket that that profile most resembles. So that&#x27;s how we end up with the grades A, B, C, and D, and place users in those buckets.&quot;</i><p>It sounds good in theory, but I&#x27;d be quite interested in false positive &#x2F; false negative rates or something a bit more transparent.<p>Still, this can potentially be a big differentiator for Mixpanel. I guess we&#x27;ll try to target those &#x27;high confidence&#x27; users and see how well they convert...