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Conversion Rate Optimisation (CRO) Pricing.

Starter

For first CRO audit
What's Included
  • Heuristic CRO audit
  • GA4 funnel analysis
  • 5 prioritised recommendations
  • Heatmap setup (Hotjar / Clarity)
  • Audit report & call
$499/project/ 1 audit Β· 5 fixes
πŸ“… From 7 Days (Jul 28)

Premium

For full CRO programme
What's Included
  • Continuous CRO programme
  • Up to 8 experiments per month
  • Multivariate & sequential testing
  • User testing via UserTesting.com
  • Personalisation in VWO / Optimizely
  • Looker Studio dashboard
  • Dedicated CRO strategist
  • Monthly review call
$1999/project/ 8 tests/mo Β· personalisation
πŸ“… From 14 Days (Aug 6)
Convert more

CRO that turns existing traffic into more revenue

Conversion rate optimisation grows revenue without extra spend β€” and more alongside design and content. Combine CRO with web design, analytics and content in a growth-partner plan so every visitor is worth more.

Explore growth-partner plans β†’

What Is Conversion Rate Optimisation (CRO)?

Conversion Rate Optimisation (CRO) is the discipline of using data β€” quantitative analytics, qualitative research, and controlled experiments β€” to systematically lift the percentage of visitors who take a desired action on your website. CRO is not opinion-led design changes; it is a structured programme of audit, hypothesis, test, learn, and iterate, run against statistical significance thresholds.

Our CRO service combines a heuristic audit of your funnel, GA4 path and funnel analysis, heatmap and session replay review (Hotjar, Microsoft Clarity, FullStory), user testing via UserTesting.com, and competitor benchmarking to build a prioritised hypothesis library scored by ICE (Impact, Confidence, Ease) or PIE. Hypotheses are then tested in VWO, Optimizely, Convert, or Google Optimize successors with proper sample size calculations and statistical significance reporting.

Whether you need a one-off CRO audit, an ongoing experimentation programme, or a full personalisation strategy, our CRO specialists deliver tests that are documented, peer-reviewed, and reported with confidence intervals β€” not vanity metrics.

How It Works

How Our Conversion Rate Optimisation (CRO) Service Works

A simple 3-step process to deliver measurable results.

01

Audit & Research

Heuristic audit, GA4 funnel analysis, heatmap and session replay review, user tests, and competitor benchmarking β€” turned into a prioritised hypothesis library.

Step 1 of 3
02

Test & Measure

A/B and multivariate tests built in VWO or Optimizely, run to proper sample size, with Bayesian or frequentist significance and pre-defined stop rules.

Step 2 of 3
03

Document & Iterate

Every test documented with hypothesis, lift, and learning β€” feeding the next round and building a compounding CRO knowledge base.

Step 3 of 3

Stop Guessing. Start Testing.

A/B tests run with proper sample sizes and significance thresholds replace opinion with evidence β€” and lift conversion rates by double digits over time.

Why It Matters

Why You Need Professional Conversion Rate Optimisation (CRO)

Specialist execution that turns conversion rate optimisation (cro) into measurable revenue impact.

Heuristic + Data Audits

Funnel-stage audits combining UX best practice, GA4 path analysis, heatmaps, and session replays β€” every recommendation backed by evidence.

Hypothesis Library

A prioritised, ICE-scored hypothesis library so the team always knows which experiment is next and why it is worth running.

Statistical Significance

Sample size calculators, Bayesian and frequentist methods, and clear stop rules β€” no peeking, no false positives.

Test Documentation

Every test documented with hypothesis, screenshot, sample size, lift, confidence, and learning β€” building a compounding knowledge base.

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Stop Guessing. Start Testing.

Data-backed audits, hypothesis testing, and A/B experiments that turn visitors into customers.

Conversion Rate Optimisation (CRO) FAQs

What tools do you use for CRO?
We use GA4 for funnel and path analysis, Hotjar and Microsoft Clarity for heatmaps and session replays, FullStory for deeper session analytics, UserTesting.com for moderated and unmoderated user tests, and VWO, Optimizely, or Convert for running A/B and multivariate experiments.
How long does an A/B test take to run?
A typical A/B test needs 2-4 weeks to reach statistical significance, depending on traffic volume and the size of the lift. We calculate the required sample size before launch using your baseline conversion rate and minimum detectable effect, then commit to running the test for full business cycles to avoid weekly seasonality.
What is statistical significance and why does it matter?
Statistical significance tells you how confident you can be that an observed lift is real and not random noise. We typically run tests to 95% confidence (frequentist) or 95% probability to be best (Bayesian), and we never call a test before it hits both significance and minimum sample size β€” preventing false positives.
How do you prioritise CRO hypotheses?
We use the ICE framework (Impact, Confidence, Ease) and sometimes PIE (Potential, Importance, Ease) to score every hypothesis from research. The highest-scoring hypotheses go into the test queue first, ensuring we always run the test most likely to deliver the biggest measurable lift.
Do you do user testing as well as A/B testing?
Yes. Quantitative A/B testing tells you what changed, but qualitative user testing tells you why. We run moderated and unmoderated tests on UserTesting.com, Maze, or Lookback to surface usability issues that drive hypothesis generation.
Can you set up GA4 and tracking from scratch?
Yes. CRO is impossible without clean analytics, so we configure GA4, Google Tag Manager, custom events, conversions, and funnel exploration reports as part of every CRO engagement. Heatmaps and session replays are added via Hotjar or Microsoft Clarity (which is free and surprisingly capable).
How much lift can I expect from a CRO programme?
A mature CRO programme typically lifts overall conversion rate by 20-50% in the first year, with individual winning tests averaging 5-15% lift each. The compounding effect comes from running 4-8 high-quality tests per month and shipping the winners.

Higher Conversions. Lower Acquisition Costs.

CRO audits, hypothesis testing, and experiments backed by GA4, Hotjar, Clarity, and statistical significance reporting.

  • GA4 funnel & path analysis
  • Heatmaps & session replays
  • A/B tests with statistical significance
  • Hypothesis library scored by ICE
  • Documented test learnings
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