GA4 and conversion measurement
Defining and implementing the events and conversions that reflect real business goals.
Typical deliverables
- Measurement plan and event schema
- GA4 and tag configuration
- Tracking audit and fixes
- Test and validation log
Marketing Intelligence & Measurement
Turn Marketing Data Into Decisions You Can Act On
We build the measurement foundation and the analysis on top of it, so you know what is working, what is not, and what to do next.
Who it's for: businesses spending on marketing without a trusted view of which channels, campaigns and leads actually produce revenue, and teams whose reports disagree with the CRM.
Problems we solve
Plenty of data. Not enough clarity.
- 01
Platforms report different numbers
Ads, analytics and the CRM each tell a different story, and nobody is sure which to believe.
- 02
Conversions are tracked, but not the ones that matter
Form fills are counted, yet nobody knows which became qualified opportunities or customers.
- 03
Tracking is broken or incomplete
Missing events, duplicated tags and consent gaps quietly corrupt the data that decisions rely on.
- 04
Reports describe the past without guiding action
Dashboards show what happened but not why, or what to change.
Capabilities and deliverables
From tracking to insight.
Delivered as consulting and implementation work on your accounts. We do not sell packaged measurement software, and what is possible depends on the platforms and access involved.
Google Ads and Meta Ads reporting
Clear, consistent reporting across paid channels, tied to outcomes rather than clicks.
Typical deliverables
- Metric definitions agreed with you
- Channel and campaign reporting views
- Spend and efficiency analysis
- Commentary on what changed
CRM and pipeline visibility
Connecting marketing activity to leads, opportunities and revenue stages.
Typical deliverables
- Lead-source and stage mapping
- Pipeline reporting views
- Marketing-to-sales handoff review
- Data quality checklist
Attribution and lead-quality analysis
Understanding which sources and campaigns produce good leads, with honest limits on what attribution can show.
Typical deliverables
- Attribution approach and caveats
- Lead-quality analysis by source
- Findings and recommendations
- Follow-up measurement plan
Performance monitoring
Ongoing checks for tracking breaks and performance shifts.
Typical deliverables
- Monitored metrics and thresholds
- Alert and review routine
- Issue log and resolutions
Reporting automation and opportunities
Replacing manual reporting with automated pipelines, then using the time saved to find opportunities.
Typical deliverables
- Automated report builds
- Prioritised opportunity list
- Recommendations reviewed by a person
Our principles
Data quality, business context, human judgment.
Analysis is only as good as the data and the understanding behind it.
- 01
Fix the foundation first
We check tracking and data quality before drawing conclusions, and tell you where the data is not reliable enough to act on.
- 02
Start from your business model
Metrics are chosen around how you actually make money, not around what a platform makes easy to report.
- 03
Recommendations are reviewed by people
Automated analysis can flag patterns, but a person validates findings against context before we recommend action.
- 04
Honest about uncertainty
Attribution is an estimate. We state assumptions and limits plainly and do not overstate precision.
Example scenarios
Questions measurement helps answer.
Illustrative scenarios, not client results.
Which channels produce qualified leads?
- Situation
- Ad platforms report plenty of conversions, but sales says lead quality is inconsistent.
- Approach
- Connect lead source to CRM stage and compare channels by qualified outcome, not form fills.
- Human role
- Sales and marketing review the findings together before budgets move.
Why do two reports disagree?
- Situation
- Analytics and the ad platform show different conversion counts.
- Approach
- Audit tags and definitions, explain the differences, and agree one source of truth per metric.
Is tracking still working after a site change?
- Situation
- A redesign went live and nobody confirmed the conversion events survived.
- Approach
- Run a tracking audit, repair what broke, and add monitoring so it is caught sooner next time.
How it works
A practical sequence.
- 1
Understand goals and current setup
We review your business goals, accounts, tags and reports.
- 2
Audit data quality
We check tracking, definitions and CRM data, and report what can and cannot be trusted.
- 3
Implement and validate
We fix and configure measurement, then test that it records what it should.
- 4
Analyse and recommend
We analyse performance and prepare recommendations in business terms.
Reviewed by a person
- 5
Monitor and refine
We keep an eye on data health and revisit the plan as your marketing changes.
Engagement models
Choose the depth you need.
Measurement audit
Best when you doubt your data
A focused review of tracking, definitions and reporting with a prioritised fix list.
- Tracking and data-quality review
- Findings and fix list
- Walkthrough with your team
Implementation project
Best when you know what to fix
A defined project to implement measurement, reporting views or pipeline visibility.
- Written scope
- Build and validation
- Documentation and handover
Ongoing intelligence
Best for continuous decisions
Regular analysis, monitoring and recommendations as campaigns evolve.
- Recurring reporting and review
- Opportunity identification
- Planning input
Scope, timeline and pricing are agreed in writing before any engagement begins. No pricing is published on this page.
FAQ
Frequently Asked Questions
Do you sell measurement software?
No. We provide consulting and implementation using the platforms you already use or that we recommend. We do not claim packaged integrations for every system.
Can you connect to our CRM?
Often, depending on the CRM, its configuration and your permissions. We confirm feasibility before scoping.
Can attribution tell us exactly which ad drove a sale?
Not with certainty. Attribution models estimate contribution. We explain the limits and use several views rather than a single answer.
What access do you need?
Access to your analytics, ad accounts and CRM at the level required, granted by you and revocable.
What does it cost?
It depends on the accounts, systems and depth involved. Scope, timeline and pricing are confirmed in writing before an engagement begins.
Related services
Each capability stands alone. Together they compound.
AI Agents & Workflow Automation
Custom marketing agents, CRM automation, intelligent workflows, data integrations, and human-supervised AI operations.
ExplorePerformance Marketing & Growth
Paid search, paid social, SEO strategy, conversion optimization, and pipeline-focused customer acquisition.
ExploreAutomation Assessment
A standalone engagement to find where automation creates practical value.
Learn moreKnow what is working before you spend more.
Tell us how you measure marketing today and where you lack confidence in the numbers.
These buttons open our contact page, where you can choose a service and describe what you need.