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Guide

Conversion rate optimisation guide

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What does conversion rate optimisation actually mean?

Conversion rate optimisation is the practice of improving the percentage of visitors who complete a valuable action — an enquiry, a booking, an add-to-cart, a signup — through evidence, not guesswork. It is a diagnosis-then-test discipline: find where real visitors are dropping off, form a specific hypothesis about why, then test the change rather than assuming a redesign will fix it.

CRO is not the same job as a redesign. A redesign changes structure and templates; CRO works within a living page, usually with much smaller, targeted changes — a clearer headline, a shorter form, a stronger proof point above the fold — measured against a defined outcome.

How do you find out where visitors are actually dropping off?

Start with the numbers you already have: analytics funnels, scroll depth, form abandonment and page-level bounce rates tell you where people leave, not why. Session recordings and heatmaps fill in some of the why — confusing navigation, a form field nobody wants to fill in, a call to action people scroll straight past.

The most reliable signal is usually the simplest one: read your own enquiry forms and sales call notes for the objections and questions that come up repeatedly. If prospects consistently ask a question your page never answers, that is a conversion leak analytics alone will not show you.

What should you test first?

Test the change most likely to move the outcome that actually matters — usually the primary call to action, the clarity of the offer above the fold, or friction in the enquiry/checkout path — before cosmetic changes like colour or imagery. Big, structural hypotheses (does removing a form field increase completions? does a clearer headline reduce bounce?) tend to produce clearer results than small visual tweaks.

Prioritise pages with real traffic and a defined goal. Testing a page that gets a handful of visitors a month wastes time on statistical noise instead of a real signal.

How much traffic do you need before testing makes sense?

This is the honest limit most CRO pitches skip: formal A/B testing needs enough visitors and enough conversions per variant to reach statistical confidence, which usually means thousands of monthly sessions to a specific page, not dozens. Below that volume, structured qualitative review — heatmaps, session recordings, direct user feedback, expert heuristic review — produces more reliable improvements than a "test" that will never reach significance.

Lower-traffic sites still benefit from CRO thinking; the method just shifts from statistical testing to evidence-based iteration: change one specific thing, watch the qualitative and directional numbers for a defined period, and keep or revert based on the evidence you actually have.

What's the difference between CRO and a redesign?

CRO diagnoses and improves within a living page or funnel. A redesign changes the underlying structure and templates. Many businesses jump straight to a redesign when the real problem is one confusing step in an otherwise sound page — diagnosing first is usually cheaper and faster than rebuilding first and hoping it helps.

FAQ

Conversion optimisation questions

Only once traffic volume supports statistically valid testing. Below that threshold, structured qualitative review — heatmaps, session recordings, funnel analytics and direct user feedback — produces more reliable improvements than a test that will never reach significance.

Depends on traffic volume and what is being tested. High-traffic pages can show a directional signal within weeks; lower-traffic sites need longer observation windows because the sample size is smaller. There is no honest fixed timeline that applies to every business.

Yes, but the method changes. Formal split testing needs volume most small-business pages do not have. Evidence-based iteration — one specific, hypothesis-driven change at a time, reviewed against qualitative and directional data — is the realistic path for lower-traffic sites.

No. CRO improves a page within its existing structure using evidence and testing. A redesign changes the structure and templates themselves. Diagnosing the actual problem first often shows that a redesign is not the fix a business assumed it needed.

Analytics and funnel review, qualitative research (heatmaps, session recordings or direct customer feedback), a prioritised list of hypotheses, and either structured testing or evidence-based iteration depending on traffic volume — plus a clear read on what actually moved the outcome.

Let's collaborate

Know where visitors drop off? Let's fix it with evidence.

Share the current problem, your constraints and what a useful result would look like.

What happens next
  1. 01You send the messy versionCurrent site, workflow or rough idea — no brief required.
  2. 02We reply by the next business dayFrom the people who would do the work, not an account manager.
  3. 03You get a written scope and quoteFixed, itemised, with exclusions stated. No obligation.