Analytics & Conversion Tracking

Complete GA4 setup built around your specific business model — configuring the right data streams, enabling enhanced measurement, defining custom events for the interactions that matter to your business, setting up conversions aligned to actual revenue actions, and connecting GA4 to Google Ads, Search Console, and BigQuery for the full analytical picture. We implement GA4 correctly from the start so you are not inheriting months of corrupted historical data from a misconfigured property.

Structured GTM implementation that centralises all tracking code in a single, governed container — eliminating the chaos of tags hardcoded across site templates, reducing page load impact from unmanaged scripts, and giving your team a controlled environment where new tracking can be deployed and tested without requiring developer involvement for every change. We implement data layer architecture, establish tag firing rules and trigger logic, and document every tag so the container remains maintainable as it grows.

Dual-layer Meta tracking combining browser-side Pixel events with server-side Conversions API (CAPI) — ensuring conversions are captured accurately even when iOS privacy restrictions, Safari ITP, or ad blockers prevent the Pixel from firing. We configure event deduplication to prevent double-counting, implement advanced matching to improve audience quality, and validate event data in Meta Events Manager before any campaigns optimise against it. Accurate Meta tracking is the single most impactful improvement most businesses can make to their paid social performance.

A systematic UTM naming convention and enforcement framework that ensures every campaign link — across email, social, paid ads, influencer partnerships, and offline QR codes — arrives in GA4 tagged consistently and accurately, enabling reliable channel attribution and campaign performance comparison. Without disciplined UTM governance, GA4 attribution breaks down into a mixture of accurate data and unknown traffic that makes channel-level ROI calculation impossible and budget allocation decisions unreliable at exactly the moment they matter most.

Tailored reporting dashboards in Looker Studio (formerly Data Studio) connected to GA4, Google Ads, Search Console, Meta Ads Manager, and other data sources — giving stakeholders a single, always-current view of the metrics that drive decisions, without requiring anyone to log into multiple platforms and manually compile data every time a report is needed. We design dashboards around the specific questions your business needs answered, not generic templates, so reports surface actionable insights rather than decorative charts.

Systematic audit of existing GA4 or Universal Analytics implementations to identify misconfigured events, missing conversions, inflated sessions from bot and spam traffic, broken referral exclusions, self-referral loops, cross-domain tracking failures, and attribution errors that corrupt historical data. We document every issue found, prioritise by impact on decision quality, implement fixes in a controlled sequence, and validate corrections against the expected data pattern — leaving you with a clean, trustworthy data foundation for all future analysis and reporting.

Multi-touch attribution analysis that evaluates the real contribution of each marketing channel — organic search, paid search, social, email, direct — across the full customer journey rather than crediting the last click with all the revenue. We configure GA4’s data-driven attribution model, build assisted conversion reports, implement cross-channel UTM tracking, and develop attribution frameworks that give leadership teams an honest picture of which channels are generating value versus which are simply appearing at the end of a conversion path they did not initiate or influence.

In-depth funnel exploration using GA4’s funnel reporting, path analysis, and segment overlap tools — identifying precisely where in the user journey prospects are dropping off, which traffic sources produce the highest-quality users by downstream conversion behaviour, and which on-site paths correlate with purchase completion versus abandonment. This analysis converts gut-feel assumptions about user behaviour into specific, data-backed hypotheses that can be tested with targeted CRO experiments rather than broad, expensive site redesigns.

Behavioural analytics implementation using Hotjar, Microsoft Clarity, or equivalent tools — capturing click maps, scroll depth, session recordings, and rage-click data that reveal how real users interact with your website in ways that quantitative GA4 data cannot. We integrate heatmap insights with GA4 conversion data to develop specific, evidence-backed hypotheses about why users are not converting, prioritise UX improvements by traffic volume and conversion impact, and validate that implemented changes actually improve observed user behaviour rather than simply assuming they will.

Complete GA4 e-commerce tracking implementation covering product impressions, add-to-cart events, checkout step progression, purchase confirmation, refund events, and product list performance — giving e-commerce businesses the granular revenue data needed to identify which products, categories, traffic sources, and campaigns are actually driving profit rather than simply generating orders. We validate every e-commerce event against actual order data to ensure reported revenue matches real transactions before any business decision relies on the numbers.

GA4 BigQuery export configuration for businesses that need access to raw, unsampled event-level data — enabling custom SQL analysis, machine learning model inputs, long-term data retention beyond GA4’s default limits, and cross-source data joins with CRM, payment, or inventory data. We configure the export, document the schema, build foundational queries for common business questions, and develop Looker Studio dashboards that connect directly to BigQuery for reports that cannot be built within GA4’s native interface.

Proactive ongoing maintenance of your analytics implementation — monitoring for tracking breaks caused by website updates, CMS changes, or platform migrations, auditing data quality on a regular cadence, updating event schemas as new features launch, managing consent mode configurations as privacy regulations evolve, and ensuring dashboards and reports remain accurate as business requirements change. Analytics implementations degrade silently over time without active maintenance; the damage compounds every month that corrupted data informs decisions without anyone noticing.