260 people wanted the free audit. 16 signed up. Nobody paid.
Free interest can be the most expensive signal to misread.
I saw a public case recently where someone offered free landing page audits.
They expected maybe 10-20 replies.
They got 260+ people raising their hand.
They got DMs, comments, feedback, bug reports, comparisons with other tools.
They got 16 signups.
They got $0 revenue.
That sounds like traction for about five minutes.
Then it becomes a harder question:
Did people want the audit badly enough to pay for a better one, or did they just want a free opinion on their page?
Those are very different signals.
If I were reviewing that attempt, I would not start with the landing page or the price.
I would look at what happened after people received the free audit.
Did anyone ask for a deeper review?
Did anyone ask how to implement the fixes?
Did anyone mention ad spend, lost revenue, client work, or a deadline?
Did any of the 16 signups come back a second time?
Did the most serious users behave differently from the curious ones?
If the answer is mostly no, then the problem may not be pricing.
It may be that the free offer attracted people who were curious enough to look, but not in enough pain to buy.
That is a brutal lesson, because the numbers feel encouraging at first.
Hundreds of comments can make the direction feel validated.
But a free yes is cheap. A paid yes tells you something else.
The next test I would run is not another broad launch.
I would pick the 10 warmest people and make a very plain paid ask:
"I can do a deeper manual review for X. It will include the verdict, the evidence behind it, and what I would not fix next. Interested?"
This is not about selling manual work forever.
A paid ask separates polite interest from real demand faster than another dashboard, pricing tweak, or launch post.
For people who have used a free audit, free tool, or free trial as a lead magnet:
What made you believe it was real demand, not just curiosity?
Sample memo in my profile — it shows the actual verdict, evidence, and next steps for a stalled offer.
The distinction between curiosity and commitment really stood out.
It's surprisingly easy to mistake engagement for demand when the cost of saying "yes" is zero. The harder question is whether someone's behavior changes once there's real commitment involved.
Yes. And the behavior change is what most people don't track — they count signups, not what people do after.
That's exactly what I was thinking.
I think there's one business decision that quietly follows from that distinction, but it's probably too much to unpack properly in a thread.
Happy to explain what I mean if it's useful. What's the best email to reach you on?
What's the decision?
If it fits in a few lines, worth putting it here — others reading the thread would probably get something from it too. If it needs more room than that, the link in my profile is the better route.
I think the decision comes one step before measuring commitment.
It's deciding which behavior deserves to become the company's definition of commitment in the first place.
A payment, a workflow change, a referral, a repeated action, or a habit can all signal commitment—but they create very different businesses if you optimize around them.
That's why I don't think the first question is "How do we measure commitment?" It's "Which commitment is actually worth designing the business around?"
The interesting part is what that choice quietly changes throughout the product, positioning, and even customer conversations. I don't think I can do that reasoning justice in a thread, but hopefully this gives a better sense of the direction I was pointing.
The part that makes this hard to diagnose is that the same data can support more than one story.
260 requests, 16 signups, 0 payments can mean "not enough demand."
It can also mean "the business was built around the wrong commitment signal."
Same numbers. Very different next move.