Projects.

Each Shopify Analytics project combines a full GA4 audit with a Google Tag Manager (GTM) implementation built for accurate conversion tracking: Shopify Custom Pixels, server-side GTM where checkout tracking requires it, and Google Ads Enhanced Conversions to recover signal lost to cookie limits. UTM tracking, funnel analysis, A/B testing, and audience segmentation round out the setup so every campaign is measured correctly.

On the paid media side, this covers Meta Conversions API (CAPI) and TikTok Events API deployments alongside retargeting, performance tracking, and attribution modeling, built to protect return on ad spend (ROAS) as third-party tracking keeps getting harder. The result: clean GA4 data and ad platforms that see every real sale.

Auditing and optimizing Google Tag Manager (client-side and server-side GTM) and Google Analytics 4 across WordPress, Salesforce Commerce Cloud, WooCommerce, and custom-built platforms, not just ecommerce. Every audit fixes tag misfires, resolves duplicate or missing events, and rebuilds data layer architecture so the numbers in GA4 actually match what happened on the site.

Each engagement covers event taxonomy design, UTM parameter governance for clean attribution, and tag validation through Charles Proxy and browser DevTools. The outcome is a GTM and GA4 setup clients can trust for real, data-driven decisions.

Implementing and troubleshooting Google Consent Mode v2 across OneTrust, Cookiebot, and Didomi CMPs, so sites stay compliant with GDPR, ePrivacy, and CCPA while still capturing valuable signal for Google Ads and GA4. Every setup respects real user consent choices: nothing is tracked that shouldn’t be.

The work covers configuring consent tags, resolving consent race conditions, and integrating Consent Mode v2 cleanly with existing GTM and server-side tracking, so businesses stay compliant, keep ad performance intact, and don’t lose data accuracy to the latest privacy rules.

Google AI Professional Certified, with hands-on use of Claude, Claude Code, and Google Gemini to speed up analytics engineering: prompt-driven ("vibe coding") development of GTM tags and custom JavaScript, AI-assisted QA of data layers, and NotebookLM-backed research when auditing a client's existing tracking stack.

This extends into reporting and workflow automation: the GA4 Data API and Google Apps Script for scheduled reports, Looker Studio dashboards clients can read without a GA4 login, and Make.com or Zapier connecting CRMs like HubSpot and GoHighLevel to the tracking stack, so insights reach the team automatically instead of living in a spreadsheet nobody opens.