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3 Comments

What users do before they leave?

If you're building a product, how do you usually tell when users are not finding value?

Do you look at specific actions, drop-offs, or something else?

One thing I keep noticing:

Users don’t leave immediately.

They explore more, click more, try different things before dropping off.

This usually means they are trying to find value but not getting there.

That also impacts growth.

If users don’t reach value, they don’t convert or stay.

Things I check:

what actions increase before they leave
where they spend time without moving forward
what they repeat

Curious if others have seen similar patterns.

Trying to understand how early-stage teams think about this without complex setups.

on May 1, 2026
  1. 1

    The pattern you're describing — exploring more before dropping off — matches almost exactly what I've seen on a small iOS memo app I've been building solo. The clearest pre-churn signal in my data isn't a single drop-off event, it's a loop: users open the same screen 3+ times in one session without taking the primary action. They're literally hunting for value and not finding it. What changed things was tagging "value moments" (in my case: first send-to-email) and plotting time-to-first-value distribution. Anyone past the long tail almost never returned. PostHog session recordings cost me 30 minutes and explained more than two weeks of dashboard staring. Have you tried watching even 5 recordings of the users who repeat actions before leaving? The "why" is often embarrassingly obvious in 90 seconds.

  2. 1

    If you have a lot of visitors and they don't convert to paying customers, that's a big sign.

    I think you would adjust the value proposition based on your product.

  3. 1

    The spike before churn is usually not engagement.
    It’s search behavior.
    More clicks, more exploration, more repeated actions usually means the user is still trying to locate the promised value and failing to reach it cleanly.
    That pattern is useful because it usually shows up before churn, before cancellation, and before support tickets.
    The mistake is reading “more activity” as engagement when it’s often confusion with effort.
    Users rarely leave on the first miss.
    They leave after the second or third failed attempt to make the product click.

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