Most businesses treat conversion rate optimisation as something they do once — redesign the page, change the button colour, move on. That approach might produce a one-time lift. It does not produce compound growth.
A CRO process is different. It is a structured cycle that runs continuously: research what is happening, hypothesise why, test the hypothesis, learn from the result, and feed that learning into the next cycle. Each loop builds on the one before it. After 10-20 cycles, the cumulative effect is substantial — and it compounds in a way that one-off redesigns never do.
At Apexure, we have run this process across 300+ clients over the past decade. The eight steps below are the same ones we follow on every engagement, whether the client is a SaaS startup or a financial services enterprise. The steps are consistent. The specifics change based on the data.
The CRO process is a systematic approach to improving your website or landing page conversion rate through data collection, hypothesis building, controlled experimentation, and iterative learning. It is not “changing things and hoping” — it is the scientific method applied to marketing.
Two things make the CRO process different from a typical redesign or optimisation project:
Before you audit anything, define what “conversion” means for this specific page or funnel. A demo booking is not the same as a newsletter signup. An add-to-cart is not the same as a completed purchase. Each conversion type has different benchmarks, different traffic requirements for testing, and different upstream factors.
Set primary KPIs (conversion rate, cost per conversion, revenue per visitor) and secondary KPIs (form start rate, scroll depth, engagement rate). Without clear KPIs, you will not know whether a test won or lost — and your CRO process becomes guesswork dressed up as science.
The first step is always understanding your audience. Before any tweaks or changes, we dive into data to understand who is visiting our page and what they are looking for. This involves looking at analytics, customer feedback, and sometimes even running surveys to gather insights.
The quantitative audit tells you what is happening. Pull at least 30 days of data from GA4 to establish a reliable baseline. Focus on:
This audit does not tell you why visitors leave. That comes in Step 3.
Numbers tell you where the problem is. Qualitative research tells you why. Without this step, your hypotheses will be blind guesses — and your tests will produce inconclusive results.
Heatmaps and scroll maps (Hotjar, Microsoft Clarity) show you where visitors click, how far they scroll, and which elements they engage with. If visitors are clicking something that is not clickable, your visual hierarchy is misleading. If 70% of visitors never scroll past the hero section, your below-the-fold content might as well not exist.
Session recordings let you watch real visitors navigate your site. Look for rage-clicking, u-turns (scrolling back up after reaching a section), and form hesitation. We have found more conversion killers in 20 session recordings than in 20 reports.
Surveys and feedback give you the visitor’s own words. A single on-page poll — “What stopped you from completing this form?” — can surface objections that no amount of analytics will ever reveal.
Combine the quantitative and qualitative data into a picture of the visitor’s actual journey — not the journey you designed, but the one they experience. Where do they hesitate? Where do they get confused? Where do they abandon?
Build a simple journey map: Entry point → Key pages → Conversion point → Post-conversion. Annotate each stage with the data from Steps 2 and 3 — drop-off rates, friction points, user feedback.
The friction points you identify become the raw material for hypotheses in Step 5. Common ones we find in audits: message mismatch between ad and landing page, forms asking for too much too soon, trust signals buried below the fold, CTAs that blend into the page, and mobile experiences that were clearly an afterthought.
A hypothesis is not “let’s try a different headline.” It is a structured statement linking a specific problem to a proposed change and a measurable expected outcome.
Format: “Based on [data/observation], we believe that [change] will [outcome], which we will measure by [metric].”
Example: “Based on heatmap data showing 65% of visitors clicking the hero CTA but only 12% completing the form, we believe that reducing the form from 7 fields to 3 will increase form completion rate by 20-30%, measured by form submission events in GA4.”
This format forces precision. It prevents the team from testing changes based on gut feeling, design preference, or what a competitor is doing. Every test should trace back to a specific data point from Steps 2-4.
With a list of 10-15 hypotheses, you need to decide what to test first. Without a framework, the loudest voice in the room wins — which is how teams spend months testing hero images when the real conversion killer is the form.
At Apexure, we use the EPIC framework: each hypothesis is scored 1-5 on Experimentation, Priority, Impact, and Cost. The highest combined score runs first.
Choose your testing method based on traffic volume and the scope of the change:
| Method | Best for | Traffic needed |
|---|---|---|
| A/B testing | Single-element changes (headline, CTA, form) | ~1,000+ conversions/month |
| Multivariate | Multiple element combinations | ~10,000+ visits/month |
| Split URL | Completely different page designs | ~1,000+ conversions/month |
Testing discipline matters as much as test design:
Low-traffic CRO: If you have fewer than 1,000 monthly conversions, do not force A/B testing. You will never reach significance in a reasonable timeframe. Instead, implement proven best practices based on qualitative research, then test once traffic supports it.
Analysis is not “which version won.” It is understanding why it won, what that tells you about your audience, and how it shapes the next cycle.
After every test, answer four questions:
Document everything. Maintain a test log with the hypothesis, variant details, duration, sample size, result, confidence level, and the learning. After 20-30 tests, the patterns in that log become your most valuable CRO asset.
This step feeds directly back into Step 1. The cycle continues. Each loop is faster and more informed than the last because you are building on accumulated knowledge, not starting from scratch.
| Phase | Tool | What it covers | Cost |
|---|---|---|---|
| Steps 1-2: Analytics | GA4 | Traffic, conversions, funnel analysis, audience data | Free |
| Step 3: Behaviour | Microsoft Clarity | Heatmaps, session recordings, rage-click detection | Free |
| Step 3: Behaviour | Hotjar | Heatmaps, recordings, on-page surveys, feedback polls | From $32/mo |
| Steps 6-7: Testing | VWO | A/B tests, multivariate, AI-powered predictive segmentation | From $99/mo |
| Steps 6-7: Testing | Optimizely | Feature experimentation, AI variation agents | Custom |
| Steps 6-7: Testing | Convert | Privacy-first testing, flicker-free loading | From $99/mo |
| Step 8: Reporting | Looker Studio | Custom dashboards, GA4 + ads + CRM integration | Free |
We follow this exact 8-step process on every engagement. The specifics vary by client — a SaaS startup with 5,000 monthly visitors gets a different treatment than an enterprise with 500,000 — but the structure is always the same.
"Apexure has strong expertise in their space and their professional approach in executing the project and stakeholders management has been impressive. We have seen growth in our lead gen volume and also better quality leads."
We will audit your website and landing pages, identify the biggest conversion opportunities, and give you a prioritised testing roadmap — free of charge.
Book a Free CRO Audit →We will audit your website and landing pages, identify the biggest conversion leaks, and give you a prioritised action plan. Book a call to get started.
Read our Landing Page CRO Strategy Guide or explore 100+ articles on landing pages and conversion optimisation.
Our case studies show how we have helped clients lift conversion rates by 40-150%.
A CRO process is a structured, repeating cycle for improving your website’s conversion rate. It typically includes research (quantitative and qualitative data collection), hypothesis generation, test prioritisation, controlled experiments (A/B or multivariate tests), analysis, and iteration. The key word is ‘process’ — CRO is not a one-off project but an ongoing programme of compound gains.
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Founder & CEO of Apexure, Waseem worked in London's Financial Industry. He has worked on trading floors in BNP Paribas and Trafigura, developing complex business systems. Waseem loves working with Startups and combines data and design to create improved User Experiences. Read more
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