We built a free CRO analysis tool last week. Here's what happened.
Partly an experiment, partly a funnel, we wanted to see if a free tool could pull in the right people and teach us how they interact with automated website feedback.
One week in, the numbers are promising:
246 visitors
125 analyses completed
~50% visitor → usage conversion
18 new beta signups
That conversion rate surprised us honestly. We were bracing for something much lower, so seeing half of visitors actually run an analysis felt like a signal that the idea lands.
A few things we noticed though, about 6% of people started an analysis and didn't finish it. There's friction somewhere in the flow. We've already fixed a few rough edges from the past few days, so some of those early exits might just be on us. (We do send an automated follow-up email either way, so not all is lost.)
One other thing that stood out: ~90% of visitors only tested a single page and domain. Not sure yet if that's just how people naturally try a new tool, or if they're not seeing the value of going deeper. Something to dig into.
What we're fixing next:
Making the value obvious before someone starts an analysis — right now I think people figure it out as they go, which isn't ideal
Making reports feel actionable, not just informative
Smoothing out the remaining rough spots in the flow
Tightening the funnel to get more of the right beta users
If you're up for trying it and have 5 minutes to share honest feedback (brutal is fine), here it is: https://spectry.io/analyze
We're also building in public and sharing the messy bits on LinkedIn as we go: https://www.linkedin.com/company/spectry-io/
One thing I'm genuinely curious about: how do you all figure out whether a free tool is attracting the right users vs just random traffic? We're seeing good volume but still trying to get a read on intent and fit.
50% visit→usage on a new free tool is strong — most land under 20%. The 6% start-but-don't-finish is almost always a copy problem, not UI: the promise earlier in the flow doesn't match what the report actually delivers at the end. Worth auditing the "you're about to get X" line right before the analysis kicks off — gap between that and the output is where drop-off clusters.
Minor on your own hero: "More than analytics, a decision engine" is a category. Your post shows you iterate on specifics (246 visitors, 50% conversion, 90% single-page) — the founders in your beta list don't arrive thinking "I need a decision engine," they arrive thinking "my conversion is 2% and I don't know why." The gap between hero-phrasing and in-post phrasing is probably costing some of that 6%.
was wondering the same about the right users or random traffic do you know of any tools to know ?
Looks interesting.
Quick question — how well do you think AI tools (ChatGPT, Perplexity) can understand and describe what Spectry does from the site?
Feels like that’s becoming an underrated discovery channel.
50% usage conversion usually means the hook is strong.
The next challenge isn’t traffic, it’s proving that usage turns into qualified intent, not just curiosity.
"Great timing on this — free tools are one of the best ways to build trust before asking for anything. I built a free utility site with the same principle: give value first. How did you handle the traffic spike after launch?"
Thanks For Sharing Looks very Interesting.
Thanks for sharing you experience! Very valuable data!