From today's webinar, the user retention columns in the demo looked cool.
The example was more or less like this:
Sept 2023
Oct
Nov
Dec
...
100%
56%
39%
26%
...
The drop from 100 to 56 was quite easily summarized: about half of the people dropped off.
And the long tail was more or less stable.
But the drop from 56 to 39 or whatever is not quite half, and I noticed that it was not as easy to summarize in words how many that were :)
I would struggle in my day to day looking-at-graphs as well! I'd love to have the tool calculate this for me. 39% are absolute, right? So 39% of the original September cohort are still active in November. But how many users from October are active in November? From 56% to 39% would be 69% if I don't mess this up, so that'd be cool. ("Don't make me think" UX etc.)
From today's webinar, the user retention columns in the demo looked cool.
The example was more or less like this:
The drop from 100 to 56 was quite easily summarized: about half of the people dropped off.
And the long tail was more or less stable.
But the drop from 56 to 39 or whatever is not quite half, and I noticed that it was not as easy to summarize in words how many that were :)
I would struggle in my day to day looking-at-graphs as well! I'd love to have the tool calculate this for me. 39% are absolute, right? So 39% of the original September cohort are still active in November. But how many users from October are active in November? From 56% to 39% would be 69% if I don't mess this up, so that'd be cool. ("Don't make me think" UX etc.)