Conversion Rate Optimisation

Increasing conversion rate has the same revenue effect as increasing traffic — but typically costs a fraction of the price. If your site converts at 2% and you improve it to 4%, you’ve doubled your output from the same ad spend, the same SEO investment, and the same audience. CRO is the only marketing discipline that makes every other channel more efficient at the same time.

Who this is for

Business owners spending $5,000 or more per month on paid ads to a landing page that converts under 3% are in a position where every percentage point improvement means hundreds of additional leads at zero extra ad spend. The traffic is already there; the page is the constraint.

E-commerce brands with steady traffic but flat revenue often have a funnel that’s leaking at cart, checkout, or product page level — and don’t have enough structured data to know which fix will have the biggest impact. Without a proper measurement foundation and a hypothesis-driven testing approach, changes get made on intuition and results remain unpredictable.

Marketing managers who’ve been running A/B tests ad-hoc without a structured hypothesis framework — ending up with inconclusive results because tests are underpowered or testing the wrong variables — are experiencing the most common failure mode in CRO programmes. The solution isn’t more tests; it’s better-designed tests run against a prioritised backlog.

What's included

• Funnel Analysis & Conversion Audit — End-to-end audit using GA4 funnel reports, scroll depth data, click tracking, and form analytics. We identify where users drop off, which pages have the largest gap between intent and action, and what the data suggests is causing friction.
• Heatmap, Session Recording & User Research — Microsoft Clarity and/or Hotjar data reveals how users actually behave on your site. Scroll depth shows whether users reach your CTA. Click maps reveal whether users are clicking on non-clickable elements. Session recordings surface specific friction points at scale.
• Hypothesis Backlog & Prioritisation — Research findings converted into structured hypotheses, each specifying the observed problem, proposed change, expected outcome, and confidence level. Prioritised using PIE or ICE scoring so high-impact, high-confidence tests run first.
• A/B Test Design & Management — Tests designed to reach statistical significance before conclusions are drawn — which means correct sample size calculations upfront. We manage test setup, QA, traffic allocation, and monitoring. Tests are not called early to chase positive results.
• GA4 Funnel & Goal Configuration — Accurate GA4 funnel data is the foundation of CRO. We audit and rebuild conversion events, funnel steps, and goal configurations as part of onboarding. Wrong data in means wrong hypotheses out.
• Optimisation Recommendations & Implementation — For managed clients, winning test variants are implemented directly. For advisory engagements, we deliver a prioritised optimisation report with specific changes, rationale, and implementation instructions.

Our approach

Before analysing anything, we verify that GA4 conversion events are firing correctly, funnel steps are configured, and session recording tools are capturing the right pages. This takes 1-2 weeks and is not optional — CRO built on bad data produces wrong conclusions.

The research phase combines quantitative data (GA4 funnels, goal completions, traffic sources) to find where the funnel is leaking, with qualitative data (heatmaps, session recordings, on-site surveys where applicable) to understand why. Research drives hypotheses; opinion doesn’t.

Every identified friction point becomes a structured hypothesis: “We believe that changing X will result in Y because the data shows Z.” The backlog is prioritised by potential impact and confidence. High-impact, high-confidence hypotheses run first; speculative tests wait.

Tests are designed with required sample size calculated upfront, based on your baseline conversion rate, expected minimum detectable effect, and a 95% statistical significance threshold. Underpowered tests — run too briefly or with insufficient traffic — produce unreliable results. We only call a test when the data warrants it.

Winning variants are implemented and documented: hypothesis, method, results, confidence level, and action taken. Losing tests are documented too — knowing what doesn’t work has real value. The backlog is updated with new hypotheses generated from each test cycle. CRO is a programme, not a one-off project.

What this looks like in practice

An e-commerce brand running $8,000 per month in paid ads to a product page converting at 1.8% engages for CRO. The measurement audit reveals the GA4 checkout funnel is misconfigured and missing one step. Heatmaps show 60% of mobile users never scroll to the add-to-cart button. Session recordings reveal a confusing size guide interaction that causes users to abandon. Three hypothesis tests are queued: a sticky add-to-cart bar on mobile, a simplified size guide, and a reordered product page layout. After eight weeks of testing, two of the three tests produce statistically significant improvements — bringing the conversion rate to 2.7%, a 50% relative gain that effectively adds the equivalent of $4,000 per month in output from the same ad spend.

Common questions

What tools do you use for CRO research?

Microsoft Clarity (free, strong session recording and heatmap capability), Hotjar where clients prefer it, and GA4 funnel and path exploration reports. For A/B testing, we work with VWO, Convert, or Optimizely depending on traffic volume and budget. We advise on what’s appropriate for your traffic levels.

Do I need a lot of traffic for CRO to work?

A/B testing requires sufficient traffic to reach statistical significance in a reasonable timeframe. A page with fewer than 1,000 sessions per month will take months to produce valid test results. For lower-traffic sites, qualitative research and expert-led optimisation deliver faster improvements than formal testing — and they’re just as valuable.

What's the difference between CRO and UX design?

UX design improves overall user experience; CRO focuses specifically on improving conversion rates using a research and testing methodology. Good UX underpins CRO — a confusing experience converts poorly regardless of how well the copy is written. In practice, CRO programmes often surface UX issues, which then get addressed through design changes.

What conversion rate should we be targeting?

It depends on your industry, traffic source, and offer. Rather than benchmarking against generic averages, we establish your baseline and target meaningful relative improvement from it. A 20% relative gain (2.0% to 2.4%) has significant revenue impact and is a realistic goal without overpromising.

Can CRO work alongside paid advertising?

Yes — and it’s one of the highest-leverage combinations available. Improving landing page conversion rate improves Google Ads Quality Score (which reduces CPC) and lowers cost-per-lead from Meta Ads. Efficiency gains from CRO compound across every paid channel running to the same landing page.

How long before we see results?

Qualitative research and expert-led changes can produce measurable improvements within 4-6 weeks. A/B testing programmes take longer because tests need statistical significance — typically 4-8 weeks per test on moderate-traffic sites. The first 30-60 days are research-heavy; from month two onwards, tests run continuously.

Ready to talk?

A CRO audit shows you exactly where the funnel is leaking and what each fix is worth in revenue terms. Get in touch and we’ll scope what’s needed.