You don't have a tracking problem.
You have an architecture problem.
You've got GA4. You've got GTM. You've got a Meta Pixel, a Google Ads tag, maybe a HubSpot script and a Hotjar snippet. Each one was added by a different person at a different time for a different reason. None of them talk to each other. Nobody documented any of it. That's not a measurement system. That's a pile of tags. A measurement architecture is the deliberate design of how your entire data collection, conversion tracking, consent management, and reporting infrastructure fits together. Every tag has a purpose. Every event has a name. Every conversion is counted once. Every report reflects reality. We design and build measurement architectures as complete systems. Not tag-by-tag. Not tool-by-tool. The full stack, engineered to work as one thing.
Request a Measurement Architecture AuditWhat a tag pile looks like from the inside.
Most businesses don't build a measurement system. They accumulate one.
GA4 says 200 conversions. Google Ads says 260. CRM says 180. CFO asks which is real.
Every new campaign, vendor, hire adds tags. Nobody removes old ones. 40 GTM tags, 15 orphaned. Eight overlapping scripts.
Half your tags fire before consent. The other half blocked entirely. Non-compliant or data-blind.
Nobody wrote down what you're tracking or why. "Lead" means different things to marketing, sales, and the CRM.
Ad platforms know clicks. CRM knows deals. No connection between them. Bidding optimises for the wrong thing.
What we design.
A measurement architecture has five layers. Each one has to work on its own and connect cleanly to the others.
Layer 1 - Data collection.
Data layer, event taxonomy, naming conventions, parameters. Defined in a measurement plan before any tag is created.
Layer 2 - Tag management and consent.
GTM client/server-side, CMP integration, Consent Mode v2. Tags fire in order, respect consent, don't duplicate.
Layer 3 - Conversion tracking.
GA4, Google Ads Enhanced Conversions, Meta CAPI, CM360 Floodlight. Every platform fed from a single governed pipeline. Deduplication is structural.
Layer 4 - Attribution and reporting.
Model selection aligned to business. Looker Studio / BigQuery / BI tool fed by clean data. Dashboards showing pipeline impact, not vanity metrics.
Layer 5 - CRM and revenue feedback.
Offline conversions, lead scoring, CRM events fed back to ad platforms. Algorithms optimise for revenue, not form fills. The layer most businesses never build.
The deliverables.
A measurement plan document.
Every event, conversion, parameter defined and mapped to a business outcome.
Tag architecture design.
Visual data flow diagram: browser → GTM → server → platforms/CRM. Every connection documented.
Full implementation.
GTM containers, GA4, Meta CAPI, Enhanced Conversions, Floodlight, CRM feedback, consent integration. Tested and validated.
Reporting infrastructure.
Looker Studio dashboards or BI tool. Marketing performance, attribution, pipeline impact in one place.
Ongoing governance framework.
Process for adding tags, maintaining naming, testing changes, owning components. Prevents decay.
When you need an architecture, not just a fix.
and can't reconcile conversion numbers.
and know current tracking won't hold up.
and each left behind their own tracking setup. Nothing documented.
Marketing optimises for leads. Sales says most leads are garbage.
GDPR, UK GDPR, ePrivacy - need visibility into exactly what data you're collecting.
and need documented infrastructure before they start.
The process.
The best time to build a measurement system was before your last campaign. The second best time is now.
We'll audit what you have, design what you need, and build the infrastructure that connects your tracking, your platforms, your CRM, and your reporting into one system that tells the truth.
Request a Measurement Architecture Audit →