CRO with Claude

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The full conversion loop in one place: audit the funnel on evidence, score the backlog, write a test you can be wrong about, launch it through Convert.com, and read the result honestly. Claude does the work. You hold the QA gate and the verdict.

This is the cluster most AI guides skip. They stop at "ask Claude for landing-page ideas," which is the easy 5%. The hard part is the loop: you turn evidence into a ranked backlog, a backlog into a test you can trust, a test into a live experiment, and a result into a learning that makes the next test smarter. Here is that loop, self-contained, with copy-paste prompts at every stage.

CRO is a hit-rate game. Most tests do not win. Run the loop properly and you raise the share of tests that produce a real, shippable lift.

The loop at a glance

Stage	What Claude does	What you do
1. Audit	Scores the page against evidence, quantifies the biggest leak, returns a ranked backlog	Assemble the research stack (screenshots, GA4, heatmap, reviews)
2. ICE + hypothesis	Scores each issue, writes a falsifiable hypothesis for the top picks	Pick the test to run first
3. Variant brief	Specs the exact change so design and dev build it without a meeting	Sanity-check the spec
4. Launch (Convert.com)	Builds the experiment via its official MCP: location, goal, variations, split; returns preview URLs	QA both variants, then say "start it"
5. Post-test analysis	Reads significance, segments the result, writes the verdict and the learning	Decide: ship, kill, or iterate; log the PTA

Claude is the brain. The Convert.com MCP is the hands. The output is a test live in minutes instead of a designer-developer-analyst relay over days.

1. Audit: evidence in, ranked backlog out

A good audit runs on evidence, not vibes. You feed Claude the same research stack a senior CRO would assemble, and it returns a prioritized roadmap with a reason attached to every line.

The research stack to assemble:

Full-page screenshots, desktop and mobile, of every key template: home, collection, PDP, cart, checkout.
GA4 funnel export (sessions through product view, add-to-cart, checkout, purchase), split by device and source. GA4 connects read-only via Google's official MCP.
Heatmaps plus 5 to 10 session recordings for the highest-traffic pages. Microsoft Clarity is free.
Voice of customer: 50 to 200 reviews (yours plus competitors), support tickets, post-purchase survey responses. Apify scrapes the reviews if you do not have them in hand.
One or two competitor pages for the same product type.

The audit prompt (copy verbatim, swap the brackets):

You are a senior CRO strategist. Audit my [page type] for [BRAND], a DTC [category] brand.
Goal: increase [metric]. Audience: [WHO] who struggle with [PAIN].
Inputs attached: page screenshots (desktop + mobile), GA4 funnel data, heatmap, 8 session
recordings (summarized), and 100 reviews.
Audit against these dimensions and score each 1-5: value-proposition clarity, headline
strength, above-the-fold CTA visibility, information hierarchy, friction (form/checkout),
motivation (offer, urgency, proof), trust signals, relevance/message-match to the ad,
mobile legibility, page speed perception.
For each weakness: what's wrong, why it costs conversions, the specific fix, and the
evidence from the data that supports it. Then quantify the biggest funnel leak in lost
revenue at my AOV of $[X]. Finish with a prioritized roadmap.