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Google Analytics Setup

Full GA4 implementation with custom events, conversion tracking, data layer configuration, and dashboards — so your data is accurate, complete, and actually useful for making decisions.

Why Most GA4 Setups Are Broken

Google Analytics 4 is a fundamentally different platform from Universal Analytics. It is event-based rather than session-based, uses a different data model, and requires deliberate configuration to track the events and conversions that matter to your business. A default GA4 installation — just dropping the tag on a page — captures only a fraction of the data you need: basic pageviews and a handful of automatically collected events.

Without properly configured conversion events, you cannot measure what is actually driving business outcomes. Without a data layer, custom event tracking is fragile and breaks with every site update. Without internal traffic filters, your own team's visits inflate your metrics and distort your analysis. I fix all of this — building a GA4 setup that gives you clean, reliable, decision-ready data from day one.

What's Included

  • GA4 property creation and configuration (data streams, data retention settings)
  • Google Tag Manager integration for tag management
  • Custom event tracking — form submissions, button clicks, scroll depth, file downloads, video plays
  • Conversion event configuration — marking the events that represent real business value
  • Ecommerce tracking — purchase, add to cart, checkout steps, product impressions
  • Data layer implementation (with developer handoff documentation)
  • Internal traffic and bot filtering
  • Cross-domain tracking setup (where applicable)
  • Google Search Console integration
  • Audience segment creation for remarketing and analysis
  • Custom reports and exploration reports
  • Looker Studio dashboard build (optional)
  • GA4 audit for existing setups — identifying gaps, duplicate events, misconfigured conversions

The Implementation Process

Step 1 — Requirements Gathering: I start by understanding your business model and the specific user actions that indicate value — enquiry form submissions, product purchases, phone click events, account sign-ups. This drives the entire tracking plan.

Step 2 — Tracking Plan: A documented tracking specification is created — listing every event name, parameter, and trigger — before a single line of code is written. This becomes your reference document for future development.

Step 3 — Implementation: Tags are implemented via GTM wherever possible for maintainability, or via direct gtag.js for simpler setups. Data layer pushes are spec'd for developer implementation.

Step 4 — QA: Every event is validated using GA4's DebugView and GTM's Preview mode before going live. I check event parameters, conversion firing logic, and ecommerce data accuracy.

Step 5 — Handover: You receive a full implementation guide, access to any custom dashboards, and a walkthrough session so your team can use the data confidently.

Is your GA4 data reliable?

Share your brand and I'll send back a free organic growth plan identifying the most common gaps in your current GA4 setup and what a proper implementation would give you.

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FAQ

Common Questions

Universal Analytics is permanently sunset — Google stopped processing new UA data in July 2023. If you haven't fully migrated to GA4 yet, or if your GA4 setup was rushed and is missing key events, now is the time to address it. Historical UA data is no longer accessible in the standard interface, making a properly configured GA4 the only source of ongoing web analytics data.
A data layer is a JavaScript object that sits between your website and your analytics/tag management tools, passing structured data (product IDs, user types, form values, etc.) to GTM and GA4. It makes tracking more reliable — instead of scraping values from the page DOM (which breaks when design changes), the data layer provides a stable, consistent data contract. For ecommerce sites or any site with complex tracking requirements, a data layer is essential.
A standard GA4 setup (property creation, core events, conversions, basic filtering) takes 3–5 days. Ecommerce setups with full purchase funnel tracking typically take 7–10 days, depending on the complexity of the data layer implementation. If developer resource is needed for data layer pushes, the timeline extends to accommodate their sprint cycle.
Yes. GA4 audits are one of the most common requests I receive. I review your existing property for duplicate events, misconfigured conversions, missing filters, incorrect ecommerce data, and reporting gaps — then provide a prioritised fix list with implementation instructions. Many existing GA4 setups have silent data quality issues that cause significant decisions to be made on inaccurate numbers.

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