We stopped tracking pageviews and started tracking revenue paths. Conversion analysis changed completely
For 6 months I used GA4 and Plausible side by side for my SaaS. Both told me which pages got the most traffic. Neither told me which traffic actually paid me.
So I built revenue attribution into my own analytics tool. Two months of using it on my own site changed how I think about marketing entirely.
Three things I now know that I did not know before:
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My second highest traffic page (/blog/cookieless-analytics) drives almost zero paying customers. The visitors love the content, comment, share. They never convert. I was over investing in that content.
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A page with 4% of my total traffic (/integrations/stripe) drives 31% of my paying customers. The path is: someone Googles 'stripe analytics', lands on that page, signs up the same session. I was under investing in similar pages.
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The 'free trial' CTA outperforms 'start free' by 2.3x in conversion to paid, even though 'start free' has higher click rate. Click rate optimized the wrong thing for 6 months.
None of this is visible in pageview analytics. The traffic looked fine. The revenue didn't.
My take: every SaaS founder using pageview analytics is flying blind on the only metric that matters.
If anyone wants to see how it's set up: zenovay.com. Free tier has revenue tracking on 1 site.
What channels are working for your SaaS that you would not have guessed from traffic alone?
Valerio
The Stripe integration page at 4% of traffic but 31% of paying customers shows up across most SaaS products once founders start attributing by revenue instead of visits. High-intent pages punch above their weight because the visitor is already in solution mode, not discovery mode. The CTA finding is equally instructive: 'free trial' outperforming 'start free' by 2.3x in paid conversion even with a lower click rate is a six-month reminder that click rate and conversion rate optimize different things. What made the cookieless analytics page get comments and shares but never convert? That persona gap is probably your most useful signal.
This is a strong insight because it moves analytics from “what got attention” to “what actually created revenue.”
The Stripe page example is the real hook. Most SaaS founders think they have a traffic problem, but the bigger issue is usually that they are optimizing around the wrong signal. Pageviews make noisy content look important, while quiet high-intent pages often create the actual paid customers.
The one thing I’d pressure-test is the brand layer before more founders start associating this with Zenovay. The product is not just analytics. It is revenue-path intelligence for SaaS decisions. That is a sharper and more valuable category than “cookieless analytics” or normal page tracking.
Beryxa .com would fit that direction well because it feels more like a serious SaaS intelligence platform than a lightweight analytics tool. If the product keeps moving toward attribution, paid conversion paths, Stripe/integration insights, and decision-making for founders, the name should help carry that bigger promise early.
The product’s strongest angle is already clear: stop tracking attention and start tracking revenue paths. I’d make sure the brand feels that serious too.