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Pricing

Clear starting points for complex growth and measurement work.

Pricing here is transparent at the starting-point level. The final scope depends on your business model, current infrastructure, data quality, required integrations, implementation depth and organisational complexity.

The objective is not to sell the largest package. It is to define the smallest credible engagement that solves the actual problem — then grow the system from there.

Discuss your projectCompare engagements

Engagement architecture

Diagnose, build, then operate and optimise.

Most measurement work follows one path — but you don't have to start at the beginning. You can enter at the stage that matches the system you already have.

  1. Diagnose01

    Find where growth decisions are being made on unreliable measurement.

    Measurement gapsFunnel issuesData qualityEconomicsPriorities

    Enter here with

    Growth Analytics Audit

  2. Build02

    Design and implement the agreed measurement, tracking and data foundation.

    ArchitectureTrackingCRM attributionData pipelinesReporting

    Enter here with

    Analytics & Tracking Implementation

  3. Operate & optimise03

    Keep the system reliable and turn it into ongoing growth decisions.

    MonitoringExperimentationDecision supportGrowth prioritisationOngoing improvement

    Enter here with

    Growth Analytics Partner

Enter at any stage. An audit can lead into implementation, and implementation can continue as an ongoing partnership.

Engagement models

Three ways to work together.

Each model plays a different role in the same system. They are not tiers of the same product — pick the one that matches where your measurement is today.

DiagnoseCommon starting point

Growth Analytics Audit

Clarity before you invest in analytics implementation.

Starting from $1,000

Best for

Businesses that suspect their measurement is unreliable and want a clear, prioritised plan before spending on implementation.

Objective

Diagnose measurement, funnel, acquisition, CRM, data-quality and unit-economics gaps, then prioritise what to fix first.

Includes

  • Marketing measurement audit
  • GA4 and GTM review
  • CRM and attribution review
  • Tracking architecture
  • Product analytics assessment
  • BigQuery readiness
  • Prioritised implementation roadmap
  • Executive presentation

Principal outcome

A prioritised implementation roadmap and an executive presentation of the findings.

Final scope depends on the number of systems, current tracking quality and how many channels are in play.

Discuss an audit
Build

Analytics & Tracking Implementation

An end-to-end measurement system, implemented.

$2,500–$10,000+

Custom project

Best for

Companies that need a measurement system built across marketing, product, CRM and revenue data — not another disconnected dashboard.

Objective

Design and implement the agreed measurement, tracking, attribution, data and reporting foundation.

Includes

  • GA4 and GTM implementation
  • Server-side GTM
  • Cloudflare and Stape configuration
  • CRM integration
  • BigQuery implementation
  • Offline conversion tracking
  • Identity resolution
  • Data modelling
  • Dashboard foundation

Principal outcome

A validated, documented measurement system spanning tracking, attribution, data and reporting.

A custom project: the range reflects that scope is set by systems, integrations and implementation depth — the upper figure is open-ended, not a cap.

Discuss implementation
Operate & optimise

Growth Analytics Partner

Ongoing analytics leadership and optimisation.

Starting from $2,000/month

Best for

Teams that need continuous analytics leadership, maintenance and implementation support to keep decisions reliable.

Objective

Provide ongoing analytical, measurement, experimentation and growth decision support.

Includes

  • Continuous analytics support
  • Tracking maintenance
  • KPI and performance reviews
  • Experimentation support
  • Reporting and dashboards
  • New integrations
  • AI analytics workflows
  • Executive consulting

Principal outcome

An ongoing partnership that keeps measurement reliable and feeds growth decisions.

A monthly engagement scoped to your priorities, cadence and the systems under active measurement.

Discuss a partnership

Compare engagements

Which engagement fits your situation?

A decision-oriented view of how the three models differ. Full inclusions are on each model above.

Primary objective
DiagnoseDiagnose gaps and prioritise
BuildBuild the measurement system
OperateOperate, optimise and decide
Best starting situation
DiagnoseUnsure what to fix first
BuildPlan agreed, needs building
OperateSystem in place, needs to keep working
Diagnostic review
DiagnoseFull review across measurement, funnel and economics
BuildScoped review of what will be built on
OperateOngoing monitoring and review
Measurement architecture and implementation
DiagnoseAssessed and planned
BuildDesigned and implemented
OperateMaintained and extended
CRM and revenue attribution
DiagnoseReviewed
BuildImplemented, incl. offline conversions
OperateMaintained and refined
Data infrastructure
DiagnoseBigQuery readiness assessed
BuildBigQuery and data modelling implemented
OperateExtended with new integrations
Reporting and experimentation
DiagnoseAssessed and prioritised
BuildDashboard foundation built
OperateOngoing reporting and experimentation support
Ongoing support
DiagnoseNot included
BuildThrough project handover
OperateContinuous, on a monthly basis
Principal output
DiagnoseRoadmap and executive presentation
BuildValidated, documented measurement system
OperateReliable system and growth decisions
Engagement model
DiagnoseFixed-scope project
BuildCustom project
OperateMonthly partnership

What determines the final investment

Why two projects with the same name cost differently.

Final pricing depends on scope, the number of systems, data quality, access availability and implementation complexity. Not every project involves all of the factors below.

The final proposal confirms the exact scope, deliverables, dependencies, timeline and commercial terms for your project.

  • Number of systems

    The count of websites, products, applications, channels and markets under measurement is the single biggest driver of scope.

  • Current tracking quality

    A clean existing GA4 and GTM setup is faster to build on than one with historical inconsistencies that need untangling first.

  • CRM and offline workflows

    Connecting CRM data, offline conversions and identity resolution back to marketing adds scope beyond front-end tracking.

  • Data infrastructure depth

    BigQuery, data modelling and combining marketing, product and CRM data into one place expand the work considerably.

  • Server-side measurement

    Server-side measurement requirements add configuration, testing and validation compared with client-side tracking alone.

  • Reporting requirements

    The number of dashboards, stakeholders and reporting views affects both design and delivery effort.

  • Access and coordination

    How quickly platform access is provided, and how many stakeholders need to be aligned, changes the timeline and scope.

  • Documentation and enablement

    The depth of documentation and team enablement required for your team to own the system afterwards.

Optional implementation modules

Individual pieces of work, when that's all you need.

Some clients need a single, well-defined piece of implementation rather than a full engagement. These are the most common, with their starting prices.

  • GA4 Implementation

    A reliable analytics foundation you can trust.

    From $600

  • Google Tag Manager Setup

    Clean, maintainable tag management.

    From $500

  • Server-Side GTM Setup

    More accurate data and less reliance on client-side tracking.

    From $500

  • CRM Integration

    Connect closed deals and revenue back to marketing.

    From $700

  • BigQuery Setup

    Marketing, product and CRM data in one place for analysis.

    From $800

  • Product Analytics Implementation

    Measure activation, engagement and retention in the product.

    From $900

  • Dashboard Development

    Decision-ready reporting instead of scattered numbers.

    From $700

  • Tracking Audit

    A focused check of what your current tracking is really capturing.

    From $500

Final pricing depends on scope, number of systems, data quality, access availability and implementation complexity.

How the engagement works

A clear path from first conversation to a system you own.

Every project starts with a discovery call to understand your current infrastructure and business goals.

  1. 01

    Discovery

    We review your goals, business model, current data stack and measurement problems.

  2. 02

    Scope

    You receive a clear scope, deliverables, project timeline and proposed price.

  3. 03

    Implementation

    The agreed analytics architecture is audited, designed or implemented.

  4. 04

    Handover

    You receive validation, documentation, recommendations and practical next steps.

What every engagement includes

The standards behind every engagement.

Regardless of which model you choose, the way the work is done stays the same.

  • Defined scope and assumptions

    Clear boundaries and stated assumptions, so everyone knows what the engagement covers.

  • Clear deliverables

    Specific, agreed outputs rather than open-ended effort.

  • Transparent dependencies

    The access and inputs the work relies on are named up front.

  • Privacy-conscious data handling

    Data and access are handled carefully and only for the agreed purpose.

  • Documentation appropriate to the engagement

    Enough documentation for your team to understand and run the system.

  • Validation before handover

    Data quality and attribution are tested before the work is handed over.

  • Explicit limitations and open issues

    Known limitations and anything still open are stated honestly, not hidden.

  • Recommendations prioritised by business value

    Next steps ordered by impact, so the highest-value work is clear.

Frequently asked questions

Questions before we start.

Which engagement should I start with?

Most businesses start with a Growth Analytics Audit. It gives you a clear, prioritised picture of what to fix before committing to implementation, so you invest in the right work rather than another disconnected dashboard.

Can an audit be followed by implementation?

Yes. The audit produces a prioritised roadmap, which becomes the scope for an Analytics & Tracking Implementation engagement if you decide to proceed. You are never obligated to continue.

How long does an analytics implementation take?

Most implementations take between two and six weeks depending on scope, the number of systems involved and how quickly access is provided. Simpler engagements such as a single GA4 or GTM setup can be completed faster, while multi-system projects involving CRM, BigQuery and server-side tracking typically take longer.

Do you work with existing GA4 and GTM properties?

Yes. Every project starts with a review of your existing GA4 and GTM setup so we can build on what already works, fix what is broken and avoid disrupting historical data wherever possible.

Can you connect CRM data with advertising platforms?

Yes. This typically involves offline conversion imports, server-side event forwarding and identity resolution so that closed deals and revenue data can be matched back to the marketing activity that generated them.

Do you implement BigQuery?

Yes. This includes setting up the GA4 to BigQuery export, structuring raw data for analysis and building models that combine marketing, product and CRM data in one place.

Do you provide server-side GTM implementation?

Yes. This includes server container setup, Cloudflare and Stape configuration, and migrating relevant tags to a server-side environment to improve data accuracy and reduce reliance on client-side tracking.

Do you offer ongoing support?

Yes, through the Growth Analytics Partner engagement. This covers tracking maintenance, KPI reviews, new integrations and continued analytics leadership on a monthly basis.

How is final pricing confirmed?

After the discovery call you receive a clear scope, deliverables, project timeline and proposed price. Final pricing depends on scope, the number of systems, data quality, access availability and implementation complexity.

Do you guarantee specific performance improvements?

No. The work builds reliable measurement and better growth decisions, but specific performance outcomes depend on many factors beyond measurement, so they are never guaranteed.

Next step

Not sure which engagement fits?

Share your current acquisition, analytics, CRM and measurement context. I'll identify the most credible starting point and whether the project is a good fit.

Discuss your project