4
7 Comments

Why users get close to signing up… and then don’t

I’ve been looking at a lot of SaaS landing pages recently and kept noticing the same pattern.

Users don’t bounce.

They scroll, check pricing, maybe look at testimonials… get pretty far into the flow.

Then they just don’t sign up.

Feels like they’re almost convinced, but something breaks right at the moment of decision.

A few things I keep seeing:

people look for proof before committing, not just features
confidence builds, then drops right before signup
small friction points (timing of prompts, unclear next step, lack of specific ROI) kill it

What’s interesting is this doesn’t show up clearly in analytics. It’s not a bounce, and it’s not obvious where the hesitation actually happens.

I’ve been experimenting with simulating first-time users going through flows to see where they stall. Watching that has been more useful than just funnels or session replays.

If anyone’s curious, I put together a rough version here:
https://convertornot.com

Curious how others here debug this.

posted to Icon for group Growth
Growth
on April 10, 2026
  1. 1

    The 'confidence builds then drops right before signup' pattern is something I see consistently too. The problem is rarely the offer — it's the moment of commitment feeling higher-stakes than it should.

    Two things that seem to cause the drop:

    1. The user's mental model of what they're signing up for doesn't match what comes next. They've convinced themselves of one version of the product and the signup flow confirms a different one.

    2. The value they just talked themselves into requires a behavior change they haven't committed to yet. They're not doubting the product — they're doubting themselves.

    The 'simulating first-time users' approach is underused for this. Most founders look at click data. But the hesitation happens in the gap between 'I want this' and 'I trust I'll actually use it' — and that's invisible in analytics.

  2. 1

    This is so real, it’s always that last moment where something feels off and people drop. those small doubts matter way more than we think.

  3. 1

    This is the most studied problem in e-commerce and the answer is almost always the same. The confidence drop happens when the visitor has decided they want it but hasn't decided they trust you enough to act now. Three things fix it in DTC and they translate directly to SaaS: visible social proof at the exact moment of decision, risk reversal that removes the fear of commitment, and urgency that makes waiting feel more expensive than acting. If you can see them scrolling through pricing and testimonials, the testimonials aren't doing their job.

  4. 1

    This is exactly the gap heatmaps and funnels miss, the user was interested, they just hit an invisible wall. The 'confidence builds then drops' moment is usually a missing answer to an unspoken objection. How does your simulation surface what that objection actually is?

  5. 1

    Really relatable, I’ve seen this a lot too. At that stage, users aren’t unconvinced, they’re just unsure.
    It usually comes down to a last minute trust gap. They can’t fully see how it works for them, small friction like forms or unclear next steps breaks momentum, and the ROI or outcome isn’t concrete enough.
    Analytics don’t catch it well because it’s not a bounce, it’s hesitation.
    Your approach of simulating first time users makes sense. I’ve found asking “what’s stopping you right now?” often reveals more than funnels.

  6. 1

    That “almost convinced, then drop” moment is the hardest one to fix.

    We’ve seen similar where nothing is obviously broken, but something just doesn’t feel resolved enough for someone to commit.

    It’s often not a big issue, more like a small gap in confidence right at the end. Either they don’t fully trust it yet, or they’re not sure what happens next.

    One thing that helped us was making the next step feel lower risk and more defined, not just “sign up” but what actually happens immediately after.

    Did you notice if it was more about trust, clarity, or just timing when people stalled?

    1. 1

      Yeah this lines up a lot with what I’m seeing.

      It’s not one big issue. More like they almost get there, then something feels unresolved and they stop.

      From the runs, it’s usually more about lack of clear proof or “will this actually work for me” vs pure trust. And yeah timing matters too, especially when signup shows up too early.

      The “what happens next” point is interesting. Setting expectations usually helps esp with trust as first time visitor

Trending on Indie Hackers
I shipped a productivity SaaS in 30 days as a solo dev — here's what AI actually changed (and what it didn't) User Avatar 258 comments Never hire an SEO Agency for your Saas Startup User Avatar 107 comments A simple way to keep AI automations from making bad decisions User Avatar 71 comments 85% of visitors leave our pricing page without buying. sharing our raw funnel data User Avatar 39 comments Are indie makers actually bad customers? User Avatar 39 comments We automated our business vetting with OpenClaw User Avatar 38 comments