Google Tag Manager Consultant & Implementation Specialist

A Google Tag Manager container is only as good as the decisions made when building it.

Poorly named tags, disorganised triggers, redundant variables, and undocumented configurations are endemic in GTM containers that have been set up quickly, handed between contractors, or simply grown without a plan.

The result is a container that's fragile, difficult to maintain, and prone to errors that are hard to diagnose.

I build GTM containers properly from the outset — logically structured, clearly named, fully documented, and tested thoroughly before anything goes near a live environment.

If you're starting from scratch, you get a solid foundation. If you're inheriting someone else's work, we start by understanding what's there before deciding what to keep.

Logical, maintainable structure — Tags, triggers, and variables organised so that anyone can understand what's happening and why.

Thorough pre-launch testing — Everything validated in GTM's preview mode and cross-checked against live data before publication.

Full documentation — A clear record of your container configuration so nothing is left unexplained for the next person who works in it.

Getting the right tags firing at the right moments is the core purpose of GTM — and when it's done correctly, it gives your marketing platforms the conversion signals they need to optimise effectively.

When it's done incorrectly, campaigns bid against inaccurate data and performance suffers in ways that are difficult to trace back to the root cause.

I deploy and configure tracking tags for all major advertising and analytics platforms — Google Ads, GA4, Meta, LinkedIn, TikTok, and more — ensuring each one fires correctly, passes the right data, and doesn't conflict with anything else in the container.

Accurate conversion tracking — The events and conversions that matter to your business, implemented correctly and validated against real user interactions.

Cross-platform consistency — The same actions tracked reliably across every platform in your stack, with no discrepancies between what GA4 and your ad platforms are reporting.

E-commerce and item-level data — Full purchase funnel tracking including product impressions, add-to-cart events, and transaction data for e-commerce businesses.

Standard GTM tracking captures surface-level interactions. A properly implemented data layer captures what's happening underneath — product catalogue data, checkout steps, user attributes, CRM identifiers, and custom business events that standard tag templates simply can't access.

This is the level of tracking that gives your analytics and advertising platforms genuinely rich data to work with — and it's the foundation on which meaningful GA4 reporting and smart bidding strategies are built.

It requires careful collaboration between the tracking implementation and your development team, and it needs to be scoped and documented precisely to avoid problems further down the line.

Richer data for better decisions — Go beyond clicks and pageviews to understand real customer behaviour in depth.

Custom data layer architecture — Designed around your specific business requirements, not adapted from a generic template.

Developer-ready specification — Clear, detailed documentation that your development team can implement without ambiguity.

Most GTM containers in active use have problems.

Duplicate tags firing on every page, conversion events triggering multiple times per transaction, broken triggers that stopped working after a site update, and tags left behind by previous contractors that nobody dares remove — these are not edge cases, they are the norm.

If your container has been inherited, has grown organically over time, or has never been independently reviewed, an audit is almost certainly overdue.

I conduct thorough, systematic GTM audits that identify every issue, prioritise them by impact, and resolve them methodically — with a full written report of findings so you understand exactly what was wrong and what was changed.

Systematic issue identification — Every tag, trigger, and variable reviewed against what it should be doing and what it's actually doing.

Prioritised resolution — Issues addressed in order of their impact on data accuracy and campaign performance.

Clean handover documentation — A clear record of the audited and resolved container so you're not starting from scratch the next time something needs changing.

Browser-side tracking is becoming less reliable.

Ad blockers, browser privacy restrictions, and the deprecation of third-party cookies are steadily eroding the accuracy of client-side tag implementations — meaning the conversion data your campaigns rely on is increasingly incomplete.

Server-side tracking moves tag execution from the user's browser to a secure server environment, bypassing the limitations of browser-side tracking entirely.

The result is more complete conversion data, improved ad platform signal quality, faster page load times, and stronger compliance with privacy regulations.

As an official Stape partner, I implement server-side GTM using Stape's infrastructure — an affordable, powerful solution that makes server-side tracking accessible to organisations of all sizes, not just those with enterprise budgets.

Meta Conversion API is one of the most impactful applications of server-side tracking for paid social advertisers — sending conversion signals directly from your server to Meta, recovering events that would otherwise be lost to browser restrictions and improving campaign optimisation significantly.

Recover lost conversion data — Capture events that browser-side tracking is missing due to ad blockers and privacy restrictions.

Improved ad platform signal quality — Better data in means better optimisation out, across Google, Meta, and beyond.

Privacy compliant by design — Server-side tracking gives you greater control over what data is shared, with whom, and when.

Accessible for all budgets — Stape's infrastructure makes server-side GTM cost-effective for growing businesses, not just enterprise organisations.

Privacy regulations are not standing still.

GDPR, the UK GDPR post-Brexit, and evolving browser consent requirements mean that how you collect, store, and use tracking data is under greater scrutiny than ever — and getting it wrong carries real legal and reputational risk.

Google Consent Mode v2 is now a prerequisite for accurate conversion modelling in Google Ads and GA4. Without it correctly implemented, you're not just at compliance risk — you're also losing the modelled conversion data that Google uses to fill the gaps left by users who decline consent.

I implement consent management solutions that are technically correct, legally compliant, and integrated properly with your GTM container — so your tracking respects user choices without unnecessarily compromising your data or your campaign performance.

Google Consent Mode v2 — Correctly implemented and integrated with your consent management platform.

GDPR and UK GDPR compliance — Tracking configured to respect user consent choices across all platforms.

Minimal performance impact — Consent management that protects your data without unnecessarily sacrificing it.

GTM and GA4 are two sides of the same coin — GTM is the mechanism through which GA4 tracking is deployed and managed, and a well-configured GTM container is the foundation of a reliable GA4 implementation.

The two services are best delivered together, by someone who understands how each one affects the other.

My Google Analytics expert service covers the full GA4 setup, configuration, and reporting side of the equation — working seamlessly alongside GTM implementation to give you a complete, accurate, and joined-up tracking stack.

End-to-end tracking ownership — One specialist responsible for both GTM and GA4, with no gaps in accountability between the two.

Joined-up implementation — GTM and GA4 configured to work together correctly from the start, not retrofitted to each other after the fact.