Digital Analytics · Measurement · Experimentation

Analytics and experimentationbuilt around your decisions.

Independent digital analytics, measurement and experimentation consultancy helping organisations understand what's really happening, identify opportunities and prove what works.

From measurement strategy and analytics implementation through to insight, experimentation and optimisation, the aim is simple: build better evidence for better decisions.

19+ years in data and analytics Independent senior consultancy Best Digital Consultancy Leeds 2025 & 2026
Start with the evidence

You don't need more data. You need better evidence.

Most organisations already have analytics platforms, dashboards, KPIs, reports and plenty of numbers.

The problem is rarely a lack of data. It's knowing whether you're measuring the right things, whether the data can be trusted, what it actually means and what you should do next.

That's why Conversions Matter doesn't start with optimisation for the sake of optimisation. We start with the evidence behind the decision.

The question behind the work

Do you have enough reliable evidence to make this decision with confidence?
From measurement to measurable improvement

Five questions. One connected approach.

Analytics, insight and experimentation shouldn't operate as separate disciplines. Each stage should strengthen the next.

01 Measure

Are you measuring the right things?

02 Trust

Can you trust the data?

03 Understand

What is the evidence telling you?

04 Experiment

Can you prove the idea works?

05 Improve

What should you do next?

Services

Fix the foundations. Find the opportunity. Prove the impact.

Support can start with one specific problem or cover the full journey from measurement through to experimentation and improvement.

01 · MEASURE

Digital Analytics & Measurement

Make sure your measurement reflects the decisions your organisation actually needs to make, rather than simply collecting everything a platform allows you to track.

  • Measurement strategy and planning
  • KPI and measurement frameworks
  • Analytics implementation
  • Event and parameter specifications
  • GA4 and tag management
  • Tracking documentation and governance
03 · UNDERSTAND

Analytics, Insight & Reporting

Move beyond reporting what happened and understand what the evidence means, why it matters and where the real opportunities are.

  • Digital performance analysis
  • Customer and behavioural insight
  • Reporting frameworks
  • Dashboard design and requirements
  • Segmentation and journey analysis
  • Decision-focused insight
04 · EXPERIMENT

Experimentation & CRO

Replace opinion, hierarchy and "best practice" with controlled experimentation that tells you whether an idea actually improves performance.

  • Experimentation strategy
  • CRO programme development
  • Hypothesis development
  • Experiment prioritisation
  • A/B test design and analysis
  • Experimentation maturity and governance
05 · IMPROVE

Optimisation & Capability

Turn what you've learned into measurable improvements while building the internal capability to keep making better decisions after the engagement ends.

  • Journey and landing-page optimisation
  • Opportunity prioritisation
  • Analytics and experimentation training
  • Team coaching and capability building
  • Ways of working and governance
  • Knowledge transfer
Why Conversions Matter?

Senior expertise without the agency layers.

The person helping define the strategy is also the person interrogating the data, challenging the assumptions and working with your team.

Senior expertise throughout

No handing the work down the chain. Strategy, analysis and delivery stay connected.

Independent thinking

Recommendations aren't influenced by media spend, technology partnerships or another service we're trying to sell.

Evidence over opinion

Decisions are grounded in measurement, analysis and experimentation rather than assumptions or generic best practice.

Capability, not dependency

The goal is to strengthen your team's ability to make better decisions, not make you permanently dependent on a consultancy.

19+ Years in data and analytics
1,000+ Experiments
£500m+ Annualised experimental value
14 Years in experimentation
Experience across organisations of very different shapes and sizes

Enterprise scale. Public-sector complexity. Digital-first businesses.

I've worked across global businesses, digital-first brands, financial services and some of the UK's largest public-sector organisations. Different environments create different problems, but the need for reliable evidence and better decisions doesn't change.

Private & commercial
Rackspace Farnell Provident Financial Group Hitachi Capital DFDS Eurostar Saga Manchester Airports Group Technogym In The Style Glasses Direct
Public sector
NHS HMRC Home Office Cabinet Office Defra
How I work

Start with the problem, not the platform.

You don't need a predetermined package or another tool added to the stack. The engagement should fit the problem you're actually trying to solve.

1

Define the decision

What are you trying to understand, prove, improve or decide?

2

Interrogate the evidence

Establish what evidence exists, whether it can be trusted and what's missing.

3

Focus on what matters

Prioritise the problems and opportunities that can materially affect the decision or outcome.

4

Prove what works

Where possible, use experimentation and measurement to separate genuine impact from assumption.

5

Leave you stronger

Transfer the thinking, frameworks and knowledge so the capability stays with your team.

Responsible AI

Responsible AI belongs in the decision-making process too.

AI increasingly plays a role in analytics, insight and experimentation. The S.P.I.D.E.R. Framework provides six practical checks for responsible AI-assisted work: Sourced, Private, Inclusive, Disclosed, Evaluated and Reversible.

Explore the S.P.I.D.E.R. Framework →
The S.P.I.D.E.R. principle If you can't tick all six, you're not ready to ship.
Let's talk

Got a data, measurement or experimentation problem?

You don't need to know which service it fits into. Bring the problem. We'll start there.

How we work together

Defined products or flexible consultancy.

There are three practical starting points: Analytics, Behaviour and Conversion. For anything broader, we agree a scoped project or ongoing consultancy days.

Analytics: Measurement Trust and diagnostics

From £3,000: full analytics audit and implementation. Scope and deliverables are agreed before work starts.

Free · Measurement Trust Check: 10 questions in around 3–5 minutes for teams who want to challenge the evidence behind their analytics. Covers tracking, KPIs, documentation and QA, with an emailed result and a suggested next step. Based on your answers; it does not independently test your setup.

£19 · Measurement Gap Scorecard: Identify the biggest gaps in your analytics measurement, understand where confidence is weakest, and get a prioritised plan for what to address first.

£99 · Measurement Foundations Kit: Take the next step after the Gap Scorecard and start building your own KPI framework. Align measures and KPIs with your goals and objectives using templates, guides to completion and an interactive walkthrough.

For scoped consultancy: measurement and KPI review, event and parameter validation, conversion QA, prioritised gaps and remediation recommendations. The precise audit deliverables are agreed before commissioning.

Start with the Measurement Trust Check →

Behaviour: Customer-journey investigation

From £3,000: Identify barriers, hesitation and unmet expectations using available funnel evidence, behavioural tools, voice-of-customer material and journey context.

Prioritised backlog: Ideas to test, research or implement, prioritised using the evidence from the investigation.

Two fully scoped experiments: Two experiment ideas developed into clear scopes for the next stage of delivery.

The pages, journeys, research depth and final fee are agreed before work starts.

Discuss the Behaviour product →

Conversion: Experimentation process and delivery

From £4,000: Establish or strengthen your experimentation process and take two experiments through planning, build and launch.

Experimentation process: A full audit of your existing process, or implementation of an experimentation process.

Analytics tool: Setup or audit of your analytics tool to support the programme.

Two experiments: Planning, building and launching two experiments.

The scope, deliverables and final fee are agreed before work starts.

Discuss the Conversion product →

Free starting point: Try the Landing Page Optimisation Diagnostic →

Engagement options

Projects, days and retainers. No mystery packages.

Defined projects

For a specific challenge with agreed objectives, deliverables, timeline and a proposal before work starts. Suitable for analytics reviews, research, measurement frameworks and experimentation programmes.

Fee: Quoted to scope.

Day rate or ongoing retainer

Senior support for teams needing regular access to analytics, CRO and experimentation expertise, including ongoing prioritisation, analysis, programme leadership and delivery.

Fee: Agreed day rate or retainer, quoted to requirements.

Schedule a meeting

Methodology behind the numbers

What £500m+ annualised experimental value means.

£500m+ annualised experimental value combines estimated annual commercial uplifts from measured experiments across engagements. It is a projection, with possible overlap and performance decay, rather than realised revenue.

Read the full methodology →