Service 09 · Convert
Our CRO process applies 300+ factors to ecommerce and lead-generation sites, bounce rate, time on site, speed, checkout flow, upsells, cross-sells, and average cart value. Traffic is expensive; conversion is where it pays back.
We diagnose the full funnel: where visitors enter, what they believe, where they hesitate, and what the data says stops them. Fixes are prioritized by revenue impact, speed and checkout friction usually before anything cosmetic.
For AtmosRx, pairing CRO with SEO turned 115% more traffic into 75% more revenue: the sessions were engineered to buy. The funnel is also collapsing into new surfaces: buyers arrive pre-sold by AI answers and comparisons, so the pages they land on must close, fast.
Behavioral data keeps showing the same shape on commercial pages: around 80% of clicks land in the intro and the overview table, and roughly half of revenue goes to the top listed product. So calls to action go in the introduction, the highest-value offer sits first, and the comparison table lives above the fold, then testing argues with the layout instead of opinions.
Engagement diagnostics run on thresholds: decent traffic with under 60 seconds on page signals intent mismatch, speed, or UX failure, diagnosed in that order before anything gets redesigned. Social proof and urgency get built from real inventory, honest counts, real deadlines, nothing invented.
SEO layouts and paid layouts conflict: one leads with context and authority, the other with the product. High-spend pages get purpose-built variants per channel instead of one page failing at both jobs.
The biggest conversion lever often isn't on the page. Renegotiating the offer itself, commission rates, bundle economics, pricing structure, can multiply revenue on identical traffic; documented programs have run as high as 3X from the same sessions. We bring the data to that table: conversion rates, growth trends, and the competitive alternatives that justify better terms.
The funnel has also collapsed into the chat: buyers increasingly compare inside an AI conversation and arrive with the decision nearly made. Pages must close a pre-sold visitor fast, which means answering dealbreakers explicitly, integrations, compliance, support, pricing by company size, because those are the criteria assistants probe before recommending anyone.
Where revenue leaks: entry, engagement, cart, checkout, with sub-60-second pages flagged for diagnosis first.
Speed, UX, trust, copy, forms, and checkout against our full checklist.
Fixes ranked by revenue impact and implementation cost.
Structured experiments where traffic allows; confident fixes where it doesn't.
Upsells, cross-sells, and bundling, plus offer terms renegotiated with data when that's the bigger lever.
Winners locked in, learnings fed back, next constraint attacked.
CRO here follows the money backward: where revenue leaks, what the data says stops visitors, and which fix pays back first. Testing runs where traffic supports it, evidence-based fixes run where it doesn't, and sometimes the biggest lever sits above the funnel in the offer itself.
What we do
What you get
What we do
What you get
What we do
What you get
What we do
What you get
What we do
What you get
Weeks 1–4
Every week
Every month
Every quarter
The stack we run for this
Google Analytics 4
Looker Studio
HubSpot
Google Search ConsoleFunnel analytics, UX and speed review, copy and trust-signal evaluation, form and checkout friction analysis, testing where traffic supports it, and AOV engineering (upsells, cross-sells, bundles), against our 300+ factor framework.
A/B testing needs volume; CRO doesn't. Below testing thresholds we apply evidence-based fixes from analytics, session behavior, and our factor framework, measured by before/after cohorts rather than split tests.
Checkout and speed fixes often show within the first month. AtmosRx saw revenue up 75% across the engagement, CRO compounding on top of SEO growth.
Adjacent disciplines
