Every shopper lands on a page built for them.
One script tag scores every visitor in real time and swaps the zones that matter - headline, recommendations, urgency, cart - flicker-safe, without fighting your CDN. An always-on holdout proves it lifted revenue. Live in about 15 minutes.
Eight ways AXO works on a storefront.
Outcome-shaped, not feature-shaped. Pick the two that matter most to your store today; the rest stay available for when you grow into them.
Score, swap, prove. On every pageview.
No audiences to build, no rules to maintain, no A/B you have to babysit. Three things happen on the page, in order, in milliseconds.
Score every visitor
The tag reads what each shopper actually does - dwell, scroll, hover, cadence - and sorts them into a cohort. No login required, no audience to hand-build.
Swap the zones
Behavior maps to the headline, recommendations, urgency and cart treatment that fit - rendered deterministically, in milliseconds, with no flicker.
Prove it, then fire
An always-on 10% holdout measures the real incremental lift, and cart triggers fan out to the Klaviyo or Braze account you already run.
The holdout is not a report. It is 10% of your traffic.
A random tenth of your shoppers keep the standard storefront, permanently and by visitor, from the first impression onward. The gap between them and everyone else is the only number here that means anything – and it is the number AXO reports.
The personalized arm is ahead of the live control by more than the interval on the difference, so this one is safe to call. Note what is not being claimed: not that add-to-cart is up against last quarter, and not that AXO caused every conversion it touched – only the gap against a control group that ran the whole time.
Illustration – a worked example of the reading, not a customer's account. AXO does not publish customer results without their name on them, and there is no anonymous case study on this page for the same reason. The mechanic is real: a 10% holdout on by default, bucketed per visitor, reported as the difference against the control.
Reads the same whether you own the number or run the store.
Revenue you can defend in the QBR.
Ships on the stack you already run.
No hallucinating model in the decision chain.
Reproducible by design
Rules and classical ML decide what ships - same inputs, same experience. No generative text on the live path.
Skip the eval tax
Copy is drafted offline for a person to approve before it ever goes live. No brand-safety roulette at 2 a.m.
Caused, not correlated
A 10% control group measures real incremental revenue on every change, from day one.
The questions before the pilot, answered plainly.
Including the ones a storefront owner asks second, after the demo: what this does to the page, and what happens when the measurement disagrees with the pitch.