Most e-commerce stores don’t have a traffic problem. They have a decision problem.
I’ve been looking at a lot of e-commerce stores recently, and there’s a pattern I didn’t expect.
Most of them don’t have a traffic problem.
They have a decision problem.
On paper, everything looks fine:
• traffic is coming in
• ads are running
• people are landing on the site
But then nothing happens.
No errors. No complaints. No obvious issue.
Just… no conversions.
What’s actually happening is much quieter.
Visitors land on the store and in the first few seconds they’re trying to answer:
“Is this for me?”
“Can I trust this?”
“What should I do next?”
If those answers aren’t immediately clear, they don’t think about it.
They leave.
The tricky part is:
You don’t see this in analytics.
You just see:
• bounce rate
• low conversion
• “underperforming traffic”
So most founders try to fix the wrong thing:
- more traffic
- better ads
- more content
Instead of fixing the moment where the decision happens.
The biggest shift I’ve seen is when stores stop asking:
“How do we get more visitors?”
And start asking:
“Why aren’t current visitors converting?”
Curious how others here think about this:
When something isn’t converting, do you first look at traffic…
or at what happens in the first few seconds on the page?
The decision problem framing is right, and paid ads amplify it when the creative-to-page story breaks down. The version I see constantly: a Meta ad promises something specific -- a discount, a feature for a specific role, a before/after transformation -- and the landing page hero doesn't continue that story. Visitor lands, does the 'is this for me?' check in under 3 seconds, fails it, leaves. Ad account reads 'underperforming traffic' so the founder pulls spend, when the actual problem was message mismatch.
Before touching traffic volume or page structure, check whether the first sentence of your landing page hero matches exactly who your top ad creative is speaking to. Not the product -- the person. Most of the time they're misaligned and that gap is what's creating the dropout. DM me if you want a second pair of eyes on the ad-to-page sequence -- happy to look at it.
This is exactly it. What’s interesting is that most people think of it as a “message mismatch” problem… but underneath, it’s still a decision problem. The ad creates a very specific expectation in the visitor’s mind. So when they land, they’re not evaluating the product from scratch-they’re checking: “is this the same thing I was promised?” If the answer isn’t immediately yes, the decision collapses.
What we’ve been seeing is that even small breaks in that continuity (different angle, different audience, even slightly different wording) are enough to trigger that “this isn’t for me” reaction.
So it’s less about traffic quality…
and more about whether the story survives the click.
This “decision problem” framing is really sharp.
One thing I’ve been noticing:
even when people see the problem, they still hesitate — because they’re not sure what to do specifically in their case.
So it’s not just:
“is there a problem?”
but:
“what exactly should I change here, right now?”
Curious — have you seen that too? Where awareness is there, but action still doesn’t follow?
Yes, and I think that’s the next layer of the same problem. Awareness alone doesn’t create action. What actually drives conversion is when the visitor can see:
“this applies to me” + “I know exactly what happens next”
Most pages stop at: “here’s the problem” or “here’s the solution”
But they don’t bridge it to: “this is what changes for you, right now”
So the visitor ends up in this state:
they understand… but they don’t move.
And that hesitation is where conversion dies.
The highest converting flows we’ve seen remove that gap completely-the user doesn’t have to decide what to do.
They’re already in it.
That “they understand… but don’t move” part is exactly the pattern I keep seeing too.
What’s interesting is that most solutions still try to explain better or simplify the funnel…
but not actually remove that moment where the user has to decide what to do.
I’m curious how you’re approaching that in practice:
when you say “they’re already in it” — what does that actually look like?
Are you showing them something based on their own data / context, or more like guiding them step-by-step?
that “they’re already in it” is the key shift, what we’ve been testing around that is removing the need to interpret anything. Instead of telling the user what’s wrong
we show them their own situation directly, so there’s no gap between “this is a problem” and “this is happening to me”
for example: instead of a generic explanation - highlight the exact part of their page where the drop-off likely happens.
or
instead of describing the issue - show what a visitor experiences in those first seconds. At that point there’s no decision left because they’re already looking at their own case.
curious: are you applying this more on the landing side
or deeper in the flow?
That example makes it much clearer — especially the shift from explaining → showing their own situation directly.
It feels like the real unlock is removing the need to interpret anything.
One thing I’m curious about:
how are you actually generating that “this is happening to you” view?
Is it something automated based on their input, or more like manually constructed per case right now?
I’ve been thinking that layer is where most of the real value sits, but also the hardest to get right.
right now it’s mostly manual. That’s actually where most of the insight comes from.
Because you start seeing the same patterns repeat across completely different stores.
The interesting part is that the issue is almost never hidden. It’s usually visible in the first few seconds.. just not obvious to the founder.
Once you point it out in their own context the reaction is almost always immediate
like “oh… I didn’t even see that”.
We’re working towards making that layer more automated
but keeping that same “this is your situation” clarity.
Are you working on something in this space as well?
Yeah — I’ve been exploring something very similar, especially around that “insight → action” gap.
The pattern you described (people seeing it and going “oh… I didn’t even notice that”) is exactly what I’ve been noticing too.
What I keep running into is that most tools either:
– give generic insights (too abstract)
or
– require the user to interpret everything themselves
So I’ve been thinking a lot about how to make that “this is your situation” layer more direct and immediately actionable — without turning it into a complex setup.
Still early, but trying to stay very close to that moment where it clicks for the user.
Curious what kind of use cases you’re focusing on right now?
that makes sense-that “insight → action” gap is exactly where things break
What we’ve been seeing on e-commerce specifically is that even when the issue is obvious once pointed out. Most teams still don’t know what to actually change without second-guessing it.
So the value ends up being not just spotting it, but translating it into a very concrete fix in their exact context.
we’ve been doing a few deep dives where we break down a store and show:
– where users drop in the first seconds
– what the visitor actually experiences
– and what to change to recover that revenue
the interesting part is that once it’s framed that way
it usually turns into a very clear “we should fix this now” moment
Happy to run one on something you’re working on if that’s useful.