For Shopify Plus brands investing in traffic, small gains in conversion rate translate directly to significant revenue growth. We start with a full-funnel audit analyzing your analytics, session recordings, heatmaps, and checkout data to surface the friction costing you conversions. From there, we build a prioritized roadmap and run structured A/B and multivariate tests to validate improvements before they go permanent. Everything we do is measured, documented, and designed to compound.
Half of all A/B tests don't reach significance. A third produce false positives. Most agencies celebrate movement on whatever metric trended this week.
Seedcms runs CRO as an engineering discipline: pre-registered hypotheses, sample-size math up front, Bayesian decision rules, and instrumentation that survives the test going to 100%.
We work in two-week sprints, ship 4–8 tests a month, and report against the metric you actually care about revenue per session, not click-through on a banner.
What a Conversion Rate Optimization engagement covers the scope, the deliverables, and the operational reality of shipping each piece.
Hypotheses tied to a business metric, built and shipped to production. PDP, cart, checkout, navigation, on-site search wherever the traffic concentrates.
Server-side and client-side event tracking that survives ad-blockers and SPAs. GA4, Heap, Amplitude, your warehouse pick your stack, we'll wire it.
Ranking, search, recommendations, and collection logic tuned to behavior. Plus the operational program to keep it tuned as the catalog evolves.
How we run a Conversion Rate Optimization engagement. Sequenced so each phase de-risks the next.
Funnel diagnostic, instrumentation review, friction inventory. We map every step from impression to repeat purchase and surface the leak points worth testing.
Pre-registered test backlog ranked by ICE (impact / confidence / effort). Each hypothesis ties to a business metric and a sample-size estimate before we touch code.
Test variants built by senior engineers production-quality code, not Shoplift drag-and-drop. Performance budgets enforced. Accessibility holds.
Live in production with proper randomization, segment guardrails, and SRM monitoring. We watch for early-stopping bias and never call a winner inside a peri-launch window.
Bayesian and frequentist read-out. Effect size, credible interval, segmented impact. Honest about null results they teach us more than wins.
Winners promoted to 100%, losers killed, instrumentation kept. Quarterly meta-analysis to find compounding patterns across the program.
The questions we get about Conversion Rate Optimization before brands sign. If yours isn't here, ask us directly.
First test live in week two. First decisive result (winner shipped or hypothesis killed) usually inside the first month. Compounding revenue impact builds from there most retainers are paying for themselves in revenue lift by month three.
We're transparent up front: if your traffic doesn't support meaningful tests at sub-4-week cadence, we'll tell you that in the audit and recommend a different engagement model.
Yes. We're stack-agnostic on the analytics layer GA4, Heap, Amplitude, Mixpanel, your warehouse, whatever you've standardized on. We instrument tests so the events land cleanly in your existing dashboards.
If your instrumentation is the problem (it often is), we'll fix that as part of the engagement.
Always segmented in analysis, often segmented in test design. Mobile behavior is different enough that what wins on desktop frequently doesn't win on mobile, and vice versa. We protect against that with separate samples and Bayesian decision rules per segment.
Both, sequenced. We start with high-confidence quick wins to build velocity and trust. Once the cadence is established, we run the bigger architectural bets checkout overhauls, PLP redesigns, search reranking with the test discipline already in place.
No, and you should be suspicious of agencies that do. We guarantee cadence (4–8 tests a month), rigor (pre-registration, proper stats), and transparency (every test reported, including the losses).
Across our active retainers the program-level ROI is between 4x and 11x. But guaranteeing a specific lift on a specific test is selling fiction.
Tightly. We don't ship a test without brand approval on creative, and we don't pick a hypothesis without product alignment on the metric. Most CRO failures we see are organizational, not statistical we work to prevent that.
30-minute intro call. No deck, no sales theater just senior people, your roadmap, and an honest answer on whether we're the right fit.
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