Tracking health check
Best for
A suspected gap, duplicate or broken conversion.
Typical output
Reproduction evidence, cause and a focused repair plan.
Build a measurement system that connects visibility, journeys and enquiries. We audit the full path from a real user action to the report or notification your team relies on.
The scope is agreed around the workflow, people, systems and evidence required. You do not need to commit to a large programme before a focused diagnostic or pilot has earned it.
Best for
A suspected gap, duplicate or broken conversion.
Typical output
Reproduction evidence, cause and a focused repair plan.
Best for
A setup that has grown without consistent governance.
Typical output
Event, consent, source and reporting assessment.
Best for
A new site, GA4 property or measurement design.
Typical output
Configured events, validation and documentation.
Best for
Teams spending time assembling recurring reports.
Typical output
Decision-led dashboard, definitions and ownership.
Evidence standard: Every material event or notification is verified through a real test. We do not present modelled attribution or platform estimates as complete customer truth.
Jon works directly with the team, using its roles, documents and live challenges to make the material useful beyond the workshop.
The aim is not tool excitement. It is a shared method people can repeat, review and improve once they are back at work.
The exact examples change by team, but the programme is grounded in the following practical areas.
We trace the journey from user action to report, checking tags, events, consent, referral handling and the business meaning of each conversion.
Events and parameters are designed around the decisions the organisation needs to make, then tested in the browser and reporting interface.
Google Search Console, landing-page performance and enquiry data are connected so visibility can be assessed against useful outcomes.
Reports surface the few measures that need attention, with definitions, comparison periods and routes back to the source data.
We verify that forms work, submissions are recorded and notifications reach the people responsible for follow-up.
Channel contribution is analysed without pretending that incomplete identifiers, consent choices or cross-device journeys can produce perfect attribution.
We agree what the team needs to know and which user actions represent progress, value or a failed journey.
Implementation, consent, event payloads, platform settings and reports are checked from the live interaction through to the final record.
We implement or specify fixes, create a measurement dictionary and record the limits of the available data.
Key journeys are tested on the live or release-candidate site, then confirmed in the destination platform and any notification workflow.
Need ongoing learning rather than a private team engagement? Explore Jon’s AI Essentials learning pathway in a new tab.
A marketing analytics consultant turns business questions into a reliable measurement system. The work can include GA4, tag management, Search Console, consent, dashboards, lead tracking and investigation of discrepancies.
Yes. We test the visible form, the network request, the submission record, the analytics event and the notification route. A thank-you page alone does not prove that every part worked.
Not always. If the source data or definitions are unreliable, another dashboard adds confidence without accuracy. We fix the measurement layer first and only then design the reporting view.
No analytics platform can perfectly attribute every journey. Consent, cross-device use, offline conversations and privacy controls create gaps. We improve consistency and explain what can and cannot be inferred.
We combine landing-page and referral evidence with Search Console trends, tracked question sets and manual result checks. AI visibility is still fragmented, so the method and its limits should be documented.
Yes. The first step is normally to preserve and audit what exists. We only replace a setup when the current design cannot support the required decisions safely or efficiently.
Improve crawlability, architecture and the search foundations the reporting is meant to measure.
Explore this serviceUse dependable behavioural evidence to remove friction from important journeys.
Explore this serviceBring measurement, implementation and ongoing improvement into one working cycle.
Explore this serviceTell us about the team, the workflow and what has prompted the conversation. We will recommend a proportionate first step.
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