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Full-Funnel Tracking — measurement that proves SEO and GEO pipeline impact

GA4, GTM, Consent Mode v2 and Looker Studio dashboards, set up so marketing can prove ROI — not vanity metrics. Server-side tagging where it matters. GDPR-clean by default. Documentation your team can actually maintain.

When this is the right call

Measurement looks easy until it isn't. The setups that need this work tend to share patterns:

  • GA4 numbers don't match UniversalMigration is done but the totals diverge — and you can't tell which version is right, or whether the gap is real.
  • Consent Mode v2 isn't fully in placeYou know it's required, the cookie banner is there, but you're not confident the data is flowing the way Google now expects.
  • Marketing reports change with the operatorTwo people pull the same dashboard, two numbers — usually a definition or property-scope inconsistency upstream.
  • Adblockers are eating your dataClient-side tagging is losing a meaningful chunk of conversions, and the picture you're acting on is partial.
  • SEO impact isn't legible to leadershipYou know the organic traffic is moving but no one can tie it to pipeline. Attribution between SEO, content and paid is muddy.
  • Looker Studio exists but no one uses itDashboards were built, then quietly stopped being opened — usually because they answer the wrong questions or take too long to load.

What you get

A measurement stack your team can maintain, documented so the next person inherits a system rather than a black box.

  1. Measurement plan

    Events, properties, audiences and data model — designed against your pipeline, not against GA4's defaults. The reference document everything else flows from.

  2. GA4 + GTM configuration

    Containers built, events fired, custom dimensions populated, audiences defined. Naming conventions documented so additions later don't break the model.

  3. Consent Mode v2 implementation

    Banner integration, advanced consent signals, GDPR-clean defaults — set up so the consented and non-consented paths both work and the data tells the truth either way.

  4. Looker Studio dashboards

    Two layers: an executive view (one screen, weekly cadence, the metrics leadership tracks) and an operator view (segmentation, channel detail, the diagnostic tools marketing actually uses).

  5. Server-side tagging (optional)

    Where the data loss from adblockers and ITP is material, server-side GTM goes in — with the right balance between cost, complexity and recovery.

  6. Documentation + training

    The handover artefact: how the stack works, how to add events, how to debug, what to do when GA4 changes again. Plus a working session with your marketing team.

How it works

Three phases, sequenced so each one informs the next. Total elapsed time is typically three to four weeks depending on existing setup.

Phase 1

Audit the current setup

Inventory what's measured, what's broken, what's missing.

  • Existing GA4 + GTM review
  • Consent posture check
  • Data-loss estimate
  • Reporting needs interviews
Phase 2

Design & ship

Build the measurement plan, then implement it.

  • Event & property model
  • GTM container build
  • Consent Mode v2 wiring
  • Looker Studio dashboards
Phase 3

Validate & train

Confirm the data tells the truth, hand over.

  • End-to-end QA
  • Documentation pack
  • Working session with marketing
  • 30-day check-in

How this works alongside your team

Measurement work touches marketing, engineering and legal — the engagement is shaped to slot in next to all three without becoming a single point of failure.

Your marketing analyst stays the owner

The build creates a stack they can run. Documentation is written for them. The dashboards answer the questions they actually need to answer. I leave; the system stays maintainable.

Server-side tagging needs your dev team briefly

If we go server-side, your engineering team is in the loop for the deployment piece — typically a few hours of their time, with a runbook so it can be re-deployed without me.

Legal sign-off on consent posture

Consent Mode v2 and GDPR are legal-adjacent decisions, not just technical ones. I'll surface the choices that need your legal or DPO sign-off rather than making them for you.

Async-first, no daily standups

Progress updates land in your shared workspace. One scheduled mid-engagement sync, the rest async. Decisions are documented as they're made.

What this actually moves

The honest version

Tracking doesn't generate traffic, conversions or pipeline. What it does is make every other channel's contribution legible — so decisions about where to invest stop being arguments about whose dashboard is right.

For SEO and GEO specifically, the difference is sharp: measurement infrastructure is what turns "the content is working" into "the content drove €X in pipeline last quarter and these eight pages did the heavy lifting." That kind of attribution is what unlocks continued investment from leadership.

Common questions

If yours isn't here, drop a line — I'll answer directly and add it.

How long does this typically take?

Three to four weeks elapsed time, with the variance driven by what already exists. A clean GA4 + GTM that just needs a measurement plan and dashboards lands faster than a setup that needs to be ripped out and rebuilt.

Do I really need Consent Mode v2?

If you serve any EEA users and run any Google ads or analytics, yes — it’s been required since March 2024 and the advanced version is what unlocks the modelled data Google now uses to fill the consent gap. Without it, your reporting is increasingly under-counting and your Ads bidder is operating with degraded signals.

Do we need server-side tagging?

Not always. The decision depends on how much data you’re losing to adblockers and ITP, how much you spend on paid acquisition (which compounds the cost of bad signals), and whether you have the budget for a small ongoing GCP / Cloudflare bill. The audit phase produces an honest estimate of the data loss before we commit either way. Server-side is a tool, not a requirement.

Can you work with our existing GTM and not replace it?

Yes — and that’s the default. Wholesale rip-and-replace is rarely necessary. The build phase usually extends and tightens what’s there rather than starting from scratch.

What about the cookieless future?

The Consent Mode v2 + modelled-data setup is most of the answer. Beyond that, the measurement plan is designed against your actual customer journey — server-side identifiers, CRM integration where useful — so the stack degrades gracefully as third-party signals continue to weaken.

Do you work with other analytics tools — Mixpanel, Amplitude, PostHog?

Yes. GA4 + GTM is the most common stack for SaaS / tech marketing teams, but if you’re already on product-analytics tooling (Mixpanel, Amplitude, PostHog) the work integrates with it rather than displacing it — usually with GA4 owning marketing-funnel measurement and the product tool owning in-product behaviour.

What does ongoing support look like?

The build is designed so you don’t need ongoing support — the documentation and training session are part of the deliverable for exactly that reason. If you want a quarterly check-in or ad-hoc help when GA4 ships its next breaking change, that’s available as a small retainer.

Ready for a measurement stack you can trust?

Get in touch with a short description of your current setup — GA4 in place, GTM container live, what's broken, what you're trying to prove — and I'll come back within 24 hours with whether this is the right engagement and what the next step looks like.