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+10% Revenue Per Visitor in 90 days. Or we refund the engagement. This is the exact CRO loop we run on $50M-$300M Shopify brands, with the real wins it produced. Steal the moves that fit your store.
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Run a full CRO program end to end: audit the funnel, design the test, launch it, read the result, and feed every learning into the next swing. Every number on this page is from a test we shipped on a real brand.
We run experimentation programs for $50M-$300M DTC Shopify brands. 1,000+ tests across 150+ brands. This page is the entire loop in one place, written for you to run on your own store: how you audit a store, turn that audit into a falsifiable hypothesis, launch the test, and read the result so it compounds instead of evaporating.
Most operators treat their store like a slot machine. Ship a redesign, hope it helps, never actually measure it. The brands pulling ahead run a tight loop instead: find the biggest leak with evidence, change one thing, prove the lift, write down why it worked, and let that learning sharpen the next test. The four stages are audit, design, launch, analyze. Here is each one, then the wins the loop put on the board.
Everything here runs on a single pattern. You find where your funnel leaks, you form a hypothesis you can actually disprove, you ship one clean change, and you read the result by segment before you roll anything out. The discipline is the asset, not any single test.
| Stage | What happens | The input | The artifact you get |
|---|---|---|---|
| 1. Strategy + audit | Score the page on 10 dimensions, quantify the biggest leak, rank fixes by impact | Screenshots, funnel data, heatmaps, reviews | A prioritized test backlog with evidence attached |
| 2. Design | Turn a finding into a falsifiable hypothesis, spec the variant, size the test | The audit output plus your traffic numbers | A dev-ready brief and a runtime estimate |
| 3. Launch | Build the experiment, gate it behind your own QA, send it live | Your A/B testing platform | A clean test live in minutes |
| 4. Analyze | Check significance, segment the lift, decide ship/kill/iterate, log the learning | The result data plus your test log | A decision and a learning that makes the next test smarter |
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Steal this: before you queue another test, write these four stages on one line each for your last shipped change. If you cannot fill in "the leak it fixed" and "how we measured it," you redesigned on a hunch. Start the next one with evidence.
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A good audit is evidence-led. You assemble the same research stack a senior CRO would, then score the page against it so every weakness points back at a real signal instead of a vibe.
The stack you assemble for every page:
Then you score the page 1 to 5 on ten dimensions: value-proposition clarity, headline strength, above-the-fold CTA visibility, information hierarchy, friction at the form and checkout, motivation from offer and urgency and proof, trust signals, message-match to the ad that sent the visitor, mobile legibility, and page-speed perception. For each weakness you write what is wrong, why it costs conversions, the specific fix, and the exact signal in the data that proves it.