98% of Shopify visitors leave without buying. We find out why — through heatmaps, session recordings, A/B tests, and checkout teardowns — then fix it. The result is more revenue from the traffic you already paid for.
Most stores spend 90% of their budget on ads to bring in more traffic. Then they let that traffic bleed out at the checkout. CRO fixes the bleed first.
Let's say your store does $100k/mo at a 2% conversion rate. To grow 50%, most brands ask: "how do I get 50% more traffic?"
Wrong question. The right question is: "how do I convert more of the traffic I already have?"
Lifting your conversion rate from 2% to 3% does the exact same thing as buying 50% more traffic — except it costs a fraction of the price, and the gains compound forever after the test wins.
That's why every dollar spent on CRO returns 3–10× more than the same dollar spent on paid ads. We've run the numbers across hundreds of Shopify stores. The math doesn't lie.
We don't guess what to change. We let your visitors tell us through behavior data, then we test rigorously. Every change is backed by statistical significance — never opinions.
We watch what your visitors actually do, not what we think they do. Real data beats opinions every time.
Hypothesis-driven, statistically rigorous. We test what matters, not what's easy. Every winner gets shipped, every loser gets killed.
Your checkout is where 70% of the revenue is won or lost. We rebuild it to remove every point of friction between intent and purchase.
People buy from brands they trust. We weave proof into every part of the journey — from PDP to checkout to post-purchase.
A glimpse at the kind of tests we run for clients — and what wins. Every result here is statistically significant.
CRO is a system, not a project. The first 90 days are about installing the system — then it keeps paying off forever.
A few quick numbers from Shopify brands we've optimized in the last 12 months.
"We doubled revenue without spending an extra dollar on ads. The CRO work paid for itself in the first 3 weeks."
"The checkout rebuild alone added 20% to monthly revenue. Then the test winners kept compounding from there."
"Post-purchase upsells + cart drawer redesign. Two changes, massive AOV lift. Wish we'd done this years ago."
Our flagship CRO package. Full discovery, 12+ rigorous A/B tests, complete checkout rebuild, trust signal overhaul, and a dedicated CRO strategist in your Slack — designed to lift your conversion rate by 40% minimum, or we keep working until it does.
For statistically significant A/B tests, you generally need at least 10,000–15,000 monthly visitors and 200+ orders per month. If you're below that, we focus more on UX teardowns, qualitative research, and best-practice deployments — which still produce big lifts even without high-volume testing.
If your conversion rate doesn't improve by at least 40% from baseline by day 90, we keep working for free until it does. We can promise this because we've run this playbook 100+ times. Most clients hit 40% by week 6.
Yes — with your approval. We use proper version control, staging environments, and full rollback ability. For A/B tests we use Convert.com or VWO so live changes only deploy after winners hit statistical significance.
Absolutely. We can either implement everything ourselves, hand off detailed dev briefs to your team, or split the work. Most of our clients prefer we handle implementation so the cycle stays fast.
Then this is exactly the right package — the full checkout rebuild is included. We'll move it to a single-page flow, optimize Shop Pay / Apple Pay placement, remove field friction, and add post-purchase upsells. This alone typically adds 15–30% to revenue.
Web design is about how it looks. CRO is about how it converts. We don't redesign for aesthetics — we change specific elements based on what your data shows, then test whether those changes actually make people buy more. Looks pretty is a happy side effect, not the goal.
You can continue with a monthly retainer (recommended — CRO compounds month over month), upgrade to a full-service growth package, or take the system in-house with the playbook we built. Either way you keep every winning test, every learning, and the documented system.
