Analytics & tracking · GA4, GTM, conversion tracking, attribution

Marketing analytics and tracking that decisions can safely rest on

When the ad platform, GA4 and the CRM report three different numbers for the same month, every meeting becomes an argument about data and no decision gets made.

This engagement rebuilds the measurement layer: correct events, correct values, reconciled platforms, and reporting written for the decisions your team actually makes.

Experience includes

Signs the measurement layer is the problem

This is the layer everything else depends on, and the one most often assumed to be fine because it was set up once.

What I build

Measurement plan

What needs measuring, derived from the decisions you make — not from everything that can be measured.

Event architecture

A GA4 event and parameter model that is consistent, documented and survives someone else taking it over.

Conversion tracking

Correct actions, deduplicated, with real values, across Google Ads, Meta and analytics.

Why it matters: bidding toward a broken conversion is the most expensive error in paid media.

Tag Manager

A clean container: triggers that mean what they say, no orphaned tags, and documentation.

CRM value import

Qualified-lead and closed-deal values fed back into the ad platforms so optimisation targets revenue.

Reporting

Looker Studio dashboards built around questions, with the reconciliation differences explained rather than hidden.

What this makes possible

Optimisation decisions rest on a signal that means what you think it means.

Budget can move toward the campaigns that produce revenue rather than the cheapest actions.

Meetings discuss what to do rather than whose number is right.

Attribution will still be imperfect. The goal is knowing where and by how much, not pretending otherwise.

How the work runs

01

Audit what exists

Action: verify current tracking against source data rather than trusting the interface.
Output: a list of what can and cannot be trusted today.

02

Plan

Action: map the decisions, then the metrics that serve them.
Output: a measurement plan, documented.

03

Implement

Action: GTM, GA4 and platform conversions rebuilt; developer work specified where required.
Output: a working data layer.

04

Reconcile

Action: compare platforms and explain the differences that remain.
Output: a documented tolerance instead of a mystery.

05

Report

Action: dashboards and a review cadence.
Output: reporting that gets used.

Measurement before scaling

Doubling spend on top of tracking you have not verified doubles the error, not the return. That is the whole argument for doing this first.

It is unglamorous work with no visible output, which is exactly why it is skipped and why it holds most of the recoverable value in an underperforming account.

Who this fits

Best suited for

Probably not the right fit if

Questions this usually raises

Much can be done in Tag Manager alone. Ecommerce purchase tracking and CRM integration usually need some developer time, and I specify precisely what.

Usually yes. Most GA4 problems are configuration, not the platform.

It depends on cycle length and channel mix. The more useful answer is to look at several and understand what each one hides.

The rebuild is a project. A light ongoing check is worth having, because tracking breaks silently whenever the site changes.

Fix the layer everything else depends on

If nobody in the business fully trusts the marketing numbers, no other improvement can be verified.