Analytics

Analytics that tells you what to change, not just what happened.

Most teams have analytics installed and still can't answer the one question that matters: which spend actually made money. We engineer the measurement layer the whole system runs on (one clean line from click to customer) so every growth decision becomes something you can see, trust and tune. Scoped to your existing analytics, CRM and ad tools, not bespoke data engineering.

The problem

Why most analytics setups can't be trusted

Analytics rarely fails loudly. It fails as quiet doubt: numbers everywhere, a different total in every tool, and no answer you'd bet a budget on.

01

Installed, never architected

A tag dropped in, a few events fired, called done.

The cost · Numbers everywhere, answers nowhere.

02

Vanity metrics up front

Sessions, impressions, bounce rate: none pay a bill.

The cost · Teams optimise what moves easiest.

03

Attribution that flatters the last click

Credit goes to whatever touch came last.

The cost · You defund the work driving growth.

04

Consent and tracking at war

Banners, blockers and browser rules eat events.

The cost · You decide on a sample whose blind spots you can't see.

05

Every tool tells a different story

Ad platform, CRM and analytics each count their own way.

The cost · Decisions stall in dashboard arguments.

06

Data with no owner

Tracking breaks in a release and no one notices.

The cost · You act on numbers that were wrong.

Our methodology

How we engineer measurement

Not a tag install, a measurement layer. We start from the decisions you need to make, then engineer each stage so the line from spend to revenue holds up.

  1. Spend

    What you put in

  2. Behaviour

    What people do

  3. Event

    Captured cleanly, or not

  4. Attribution

    Credit where it's due

  5. Revenue

    What came back

Measurement is one connected line from spend to revenue. Trust breaks where a real action must be captured as a clean, attributable event.
  1. Define what's worth measuring

    Questions before tags

    Start from the decisions you need to make.

  2. Design the measurement plan

    Architecture first

    A documented map of every event and definition, agreed before a tag is placed.

  3. Instrument events, consent-aware

    Capture the truth

    Tracking that respects consent and survives blockers and browser changes.

  4. Model attribution honestly

    Credit where it's due

    Past last-click to a fair read you can act on.

  5. Build dashboards that drive decisions

    Answers, not vanity

    Each view points at an action, not a number to admire.

  6. Govern and keep it honest

    Data you can trust

    Automated checks and one clear owner.

Deliverables

What you get

Concrete artefacts, not a slide deck. Everything is documented and handed over cleanly, nothing is locked to us.

  • Measurement plan

    A documented map of every event and definition, agreed before a tag is placed.

  • Consent-aware tracking

    Capture that respects consent and survives blockers and browser changes.

  • Attribution model

    An honest, consistent read past last-click that you can act on.

  • Decision dashboards

    Views that point at an action, not a number to admire.

  • Spend-to-revenue reporting

    One clean line from what you spend to what came back.

  • Data quality monitoring

    Automated checks and one clear owner, so broken tracking surfaces fast.

Not sure this is your highest-leverage move?

A Growth Audit shows you where the biggest opportunity actually is, whether it's this or something else entirely.

Book a Growth Audit

The process

How we work together

Sequenced so what's measured is agreed before a tag is placed, and you always know what's next and why.

  1. Growth Audit

    Week 0

    We find the decisions you can't currently answer and agree what must be measured.

  2. Measurement plan

    Weeks 1–2

    Every event and definition documented and signed off before instrumentation.

  3. Instrument

    Weeks 2–5

    Consent-aware tracking built to survive blockers and browser changes.

  4. Reconcile & launch

    Launch

    Tools reconciled against one another so a number means the same thing everywhere.

  5. Tune

    Ongoing

    We monitor data quality and extend the model on an agreed cadence.

Is this for you

Where this is the right call, and where it isn't.

We'd rather tell you it's not the right time than sell you the wrong thing.

A strong fit if

  • You spend on growth but can't tie it to revenue
  • Your tools each report a different number
  • You're about to scale and need to trust the data
  • You want measurement you can act on

Probably not yet if

  • You want a vanity board dashboard
  • You're pre-traffic
  • You can't grant access to your data tools
  • You'd rather not know which spend isn't working

FAQ

Questions, answered.

No. Installing takes ten minutes; deciding what to measure, capturing it so it survives consent and browser changes, and tying it to revenue is the actual work.

Usually. We're tool-agnostic and build on your existing analytics, CRM and ad platforms. The value is in the architecture and reconciliation.

Consent-aware from the start: we capture what you're permitted to and use server-side methods where they help the signal hold up.

Attribution is a model, not perfect truth. We build an honest, consistent read that reflects how demand is actually created, so channels compare on the same basis.

Ad platforms grade their own homework. A neutral measurement layer reconciles their numbers against what reached your CRM and bank.

See where analytics fits your growth system.

Start with a Growth Audit. We'll show you whether this is your highest-leverage move, or where the bigger opportunity actually is.