After running my own online business for years, I kept running into the same frustrating problem:
analytics told me where traffic came from, A/B tests told me what variation won — but neither told me who was actually trying to buy or where I should focus next.
Clicks looked great. Revenue didn’t always follow.
Most tools optimise for engagement or last-click attribution. Ad platforms optimise for signals that don’t always reflect real buying intent. And experimentation tools treat every visitor the same, regardless of where they came from or how close they are to purchasing.
So I built Zyro to solve this problem.
Check out Zyro — revenue-first attribution & A/B testing for e-commerce
Zyro is a revenue-first attribution and A/B testing platform for e-commerce. It detects high-intent behaviour on a website in real time (things like pricing engagement, offer interaction, and key conversion signals) and sends those signals back to ad platforms to help optimise toward buyers instead of low-quality traffic. This helps reduce CAC without increasing spend.
On the experimentation side, Zyro lets you A/B test offers, messaging, and experiences based on intent or traffic source — for example showing different variations to users coming from ChatGPT, Facebook, Reddit, Google, or email campaigns. Instead of running one-size-fits-all tests, you can tailor experiments to how and why users arrive.
Zyro also provides revenue attribution across 50+ traffic sources, giving a clearer picture of what actually contributes to sales so marketing budgets can be allocated with confidence.
I built Zyro from scratch as a solo founder, based on the pain points I experienced first-hand. I’m sharing it now to get feedback from other founders, marketers, and engineers who’ve dealt with attribution, experimentation, or conversion challenges.
Happy to answer questions or hear what others have struggled with in this space.
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