Hi @Simon Hilton 

You can do this in couple of ways based on the context of your app event schema

• Create a cohort combining the new user definition + did not clause
  • e.g.

    

     

• Use an unbounded retention chart and create a cohort out of the D1 Dropped Off users
  
  
  Hope this helps.

Thanks. I was wondering whether it was a cohort but wasn’t sure. I have the mindset that cohorts are long running things you shouldn’t be creating on the fly but maybe thats something to update. 

I find that cohorts are somewhat restrictive with the time period sometimes, so I have been using segments instead and saving them so that if I decide to look at 60 or 90 days or any period in particular, I can easily adjust the period for the segment within the same screen (although there are limitations for both cohorts and segments when using them in segmentation chart or data table vs funnels. This is why I also choose to have saved segments, so I can make necessary tweaks based on the chart I am using). 

To save a segment and access it later on, you just need to click on ‘saved’ (you can even set it up as default if you want this segment to always show up in the chart)

In regards to the login event you have, I was wondering if you might have a sign up event instead that is unique to the first time use so that using ‘did not login’ wouldn’t exclude people logging in for the first time within the period selected but not the first time prior to that period? For example, let’s say that someone created an account and logged in in January 2023 and they only login once every 45 days; if you are looking at the last 30 days of data and you say ‘did not log in’, you would be excluding this user from your analysis even though they have logged in a few times in the year.

If you had a unique event that can only be triggered once, you could use a segment like this (https://app.amplitude.com/analytics/demo/chart/new/d683d739)

The unbound retention chart that @Saish Redkar recommended looks promising! Good luck!