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Conversion Rate OptimizationConvert more of the traffic you already have.

Sales funnel planning and structured testing to convert more of the traffic you already have.

Discuss Conversion Rate Optimization See how it works
  • Funnel Planning
  • A/B Testing
  • UX Audits

01 Experiment design

A test starts with a reason.

Good optimisation tests a specific hypothesis rooted in evidence. Choose an area to see the problem, the control, the variant and what the test measures.

Observed problem Visitors leave the landing page quickly; recordings show them scrolling without engaging.

A · Control

Innovative solutions for modern businesses

B · Variant

Bookkeeping for small businesses — done monthly, VAT-ready

Hypothesis

Because visitors can't tell what we offer, a specific headline naming the service and audience will increase the share who continue to the pricing section.

Primary metric

Clicks to the pricing section

Illustrative test design — no outcome shown, because the outcome is what the test measures.

02 Formats

The evidence behind every test.

Tests come from research, not opinion. Select a method to see what it reveals.

LandingProductBasketCheckoutOrder
Illustrative mock-up

Funnel analysis

Where in the journey people drop off, from analytics.

Best for
Finding the biggest leaks first.
What it needs
  • Reliable analytics events
  • Funnel steps defined
  • Segment by device and source

03 Conversion journey

From insight to rollout.

Select a stage to see how a test is run properly.

Every result — winning, losing or flat — feeds the hypothesis backlog.

Stage 1 of 6

Research

Analytics, heatmaps and UX review show where and why.

  • Funnel drop-off by step
  • Behaviour recordings
  • Customer and sales feedback

04 Strategy to launch

Evidence, hypotheses, tests.

Optimisation is a repeatable process, not a list of best practices.

  1. Funnel & UX audit

    Analytics, heatmaps and an expert UX review to find where and why visitors drop off.

    Output Funnel audit report

  2. Hypothesis backlog

    Every opportunity written as a testable hypothesis with its evidence.

    Output Test hypothesis backlog

  3. Prioritisation

    Hypotheses ranked by impact, confidence and effort.

    Output Prioritised roadmap

  4. Build & QA

    Variants built — copy, layout or flow — and checked across devices.

    Output QA-checked tests

  5. Run & review

    Tests run to plan, then reviewed statistically.

    Output Test results log

  6. Roll out & retest

    Winners rolled out, learnings applied to the next round.

    Output Monthly optimisation report

05 Alignment

Evidence, change and metric — linked.

A good test connects what you saw, what you change and what you measure. Compare aligned and misaligned versions.

Evidence

Half of visitors abandon the form

Repeats the intent
Change tested

Shorter form with 4 fields

Repeats the intent
Metric

Form completion rate

Repeats the intent

Why this works: The change addresses the observed problem, and the metric measures exactly that.

Illustrative examples — fictional businesses, not client work.

06 Measurement

Reading tests correctly.

Most test mistakes are statistical. Select a concept to see how results are judged.

Report anatomyIllustrative layout · no account data
VisitorsStep completionConversionsRevenue
Reading the report

Conversion rate

Conversions ÷ visitors

Question it answers
The share of visitors who complete the goal.
Watch out for
Compare variants only within the same test period and audience.

07 Deliverables & onboarding

What you get, and how we get started.

A clear scope from day one, and a phased start so nothing goes live before tracking and approvals are in place.

What you get

  • Funnel audit report
  • UX audit
  • Test hypothesis backlog
  • Prioritised test roadmap
  • Built and QA-checked tests
  • Test results log
  • Monthly optimisation report
  1. Phase 1

    Audit

    We handle

    • Review analytics and funnels
    • Run a UX audit
    • Set up behaviour analytics

    We need from you

    • Analytics and site access
    • Customer and sales insights
    • Known problem areas
  2. Phase 2

    Plan & build

    We handle

    • Write the hypothesis backlog
    • Prioritise
    • Build and QA variants

    We need from you

    • Approve test ideas
    • Developer access if needed
    • Brand and legal checks
  3. Phase 3

    Test & roll out

    We handle

    • Run tests to plan
    • Analyse statistically
    • Roll out winners

    We need from you

    • Patience to let tests finish
    • Implementation of winners if in-house
    • Monthly review

08 FAQ

Conversion Rate Optimization questions, answered.

Do we have enough traffic to test?

It depends on traffic and conversion volume. Lower-traffic sites can still improve through research-led changes and bolder tests; the audit sets out what's realistic.

Why not just apply best practices?

What works for one audience can fail for another. Testing confirms a change helps your visitors before it's rolled out.

How long does a test run?

Until it reaches the sample size planned in advance — never stopped early just because it looks good.

What if a test loses?

A losing test is still a result: it prevents a harmful change and teaches something about your visitors. It's logged and informs the next hypothesis.

Ready

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Tell us where you're stuck — we'll map the fastest path forward.

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