I architect and implement clean systems that use Google Tag Manager to properly track analytics data and conversion events while maintaining privacy compliance with Google's Consent Mode v2.
Clean, Simple & Reliable Tracking
For 8+ years I've helped businesses in the finance, insurance, healthcare, entertainment, and software industries setup highly effective analytics and ad optimization systems that utilize GTM for tag management in clean and simple ways.
Consulting Capabilities
I provide a deep knowledge and experience in the following areas, with plenty of experience to back it up.
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Google Tag Manager (GTM) Clean, organized containers with clear naming and structure that use simple, standard approaches.
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Google Analytics (GA4) Accurate tracking of standard and custom events with reliable data collection across sites and devices.
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Server-Side Tracking Future proof event tracking that is syncronized between browser pixels and server-side conversion APIs.
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Meta CAPI Reliable Facebook tracking with proper deduplication, matching and excellent optimization scores.
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Consent Mode V2 Proper consent management platform implementation that support privacy laws across regions and devices.
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Privacy Compliance GDPR, CCPA, CPRA, CPA, CTDPA, VCDPA and other US privacy laws handled without breaking tracking.
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Conversion Tracking Consistent event tracking across all major ad and analytics platforms with reliable attribution.
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BigQuery Data warehouse implementation and architecture for deeper analysis, attribution modeling, and long-term data storage.
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Reporting Automated dashboards that report on specific KPIs like revenue, performance, and marketing channel effectiveness.
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Cross-Domain Tracking Track users, prospects, and customers across multiple sites and domains with accurate session continuity.
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UTM Standards Clean, consistent campaign tagging strategies and implementation with enforced naming conventions across all channels.
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eCommerce Tracking Full funnel tracking from product view to purchase with accurate revenue and product-level attribution.
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Attribution Track visitors from end-to-end to gain a view of multitouch attribution throughout the entire buyer journey.
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Audits Identify tracking implementation issues, and fix them using Google's documented best practices.
Success Stories & Case Studies
Comprehensive tracking plan for SBLI with a unified analytics strategy across multiple websites, optimizing ad performance and improving reporting accuracy.
SBLI's Unified Analytics Strategy
Client: SBLI Role: GTM Consultant Project: Unified Cross-Platform Conversion Tracking with Server-Side Events and Offline Integration
Challenge
SBLI worked with multiple advertising vendors, each using its own methodology for defining conversions and tracking goals. This created significant reporting discrepancies between vendors, confusion about actual business performance, and degraded advertising effectiveness because no two systems agreed on what constituted a conversion.
Solution
I built a unified tracking system with GTM as the central distribution hub:
- Centralized Event Architecture: Implemented the Object Action Framework naming convention and collaborated with SBLI leadership to define a standardized set of business events. All events flow through the GTM data layer and are distributed uniformly to every vendor and ad platform.
- Server-Side Event Tracking: Events tracked client-side through GTM were simultaneously sent server-side via the Measurement Protocol with unique event IDs for deduplication, ensuring privacy-compliant tracking that captures conversions browsers miss.
- End-to-End Funnel Coverage: The tracking system spans the entire customer journey from initial online or phone engagement through the complete life insurance application process, including offline events like medical exams that can span up to 90 days.
- Offline Event Integration: Built a custom push-pull system to batch and distribute server-side events from offline conversion points, connecting CRM data back to the original marketing touchpoints.
Results
- Vendor-Agnostic Consistency: Every advertising vendor and internal team now references the same event definitions and conversion data, eliminating the discrepancy problem entirely.
- Full-Journey Attribution: Custom dashboards in Looker, Tableau, and Microsoft BI connected to BigQuery provide multi-touch attribution across a 90+ day conversion window that spans online and offline touchpoints.
- Lower Acquisition Costs: With consistent, reliable data flowing to all ad platforms, SBLI optimized campaign performance and reduced customer acquisition costs with confidence.
Event tracking and multi-touch attribution setup for Coastal1 Credit Union, enhancing ad performance and reporting consistency across platforms.
Coastal1 Credit Union GA4 & GTM Implementation
Client: Coastal1 Credit Union (Rhode Island's Largest Credit Union) Role: GTM Consultant Project: Cross-Platform Conversion Tracking and Multi-Touch Attribution System
Challenge
Coastal1 needed conversion tracking across multiple advertising channels including LinkedIn, Google Ads, Bing, and digital video streaming services. They had no centralized tracking system, no consistent attribution, and no way to measure which channels were actually driving account openings and loan applications.
Solution
I built a complete tracking and attribution infrastructure from scratch:
- Centralized GTM Architecture: Defined key business events and implemented them in Google Tag Manager as the single distribution point, routing conversion data to GA4 and every ad platform simultaneously using the Object Action Framework for consistent event naming.
- Cross-Domain Funnel Tracking: Configured tracking across third-party systems hosted on subdomains to capture the full application funnel from initial visit through completion, enabling end-to-end conversion tracking in Google Ads, Bing, and Facebook.
- UTM Attribution Strategy: Established strict UTM naming conventions across all advertising channels for clean, consistent attribution reporting.
- BigQuery Attribution Reporting: Connected GA4 to BigQuery and built custom Looker reports for multi-touch attribution, giving Coastal1 transparency into which advertising sources, mediums, and campaigns were driving conversions at what cost.
Results
- Lower Customer Acquisition Costs: Optimized ad spend allocation based on reliable multi-touch attribution data across all channels.
- Full Funnel Visibility: Cross-domain tracking connected the dots between ad click and completed application for the first time.
- Seven Years and Counting: The tracking architecture has remained in place and clean for seven years, with the system still organized and easy for new team members to navigate.
Implemented accurate conversion tracking for NetBrain, improving ad performance and reducing advertising spend by 40%.
NetBrain Event Tracking & Conversion Optimization
Client: NetBrain Role: GTM Consultant Project: Event-Based Conversion Tracking and Ad Platform Optimization
Challenge
NetBrain's conversion tracking was based on thank-you page views, which were being inflated by indexing bots and non-client traffic. Their advertising spend was being optimized against inaccurate data, resulting in wasted budget and unreliable lead generation metrics.
Solution
I replaced their entire tracking approach with an event-based system built on GTM:
- Event-Based Conversion Architecture: Replaced pageview-based conversion tracking with custom events fired on actual form submissions, verified against both Marketo and Salesforce records. Client-side and server-side events tracked simultaneously for accuracy.
- Centralized GTM Distribution: Defined key business events in strategy sessions and routed them through Google Tag Manager to GA4, Google Ads, LinkedIn, Facebook, and Reddit, all from a single trigger source.
- BigQuery Attribution Pipeline: Integrated GA4 with BigQuery to build advanced multi-touch attribution reports, revealing which campaigns and channels were actually driving qualified leads.
- Google Ads Optimization: Used the accurate conversion data flowing from GTM to retrain Google Ads bidding algorithms against real conversions, improving targeting and budget efficiency.
Results
- 40% Reduction in Ad Spend: Accurate conversion data exposed underperforming campaigns that had been sustained by inflated pageview metrics.
- 100% Increase in Lead Generation: Better tracking led to better optimization, doubling qualified lead volume while spending less.
- Verified Accuracy: The new tracking system aligned with Salesforce CRM data, confirming that reported conversions matched actual business outcomes.
Reorganized and re-architected Vital Strategies' analytics for a high-accuracy GA4 transition with BigQuery integration for detailed multi-touch reporting.
Vital Strategies GA4 Migration & Conversion Optimization
Client: Vital Strategies (Large Non-Profit, New York City) Role: GTM Consultant Project: GA4 Migration, Conversion Tracking Architecture, and Multi-Touch Attribution
Challenge
Vital Strategies had a disorganized analytics setup with inconsistent tracking across their digital properties. The transition from Universal Analytics to GA4 risked losing years of historical data, and their team needed a reliable system to track donations, resource downloads, and fund-related activity with proper multi-touch attribution.
Solution
I rebuilt their tracking infrastructure from the ground up:
- GA4 Architecture: Established a clean GA4 property with properly structured event tracking for donations, resource downloads, and fund-related searches, all managed through Google Tag Manager.
- Historical Data Preservation: Created BigQuery scripts to backfill GA4 data using historical Universal Analytics records, preserving years of trend data for year-over-year reporting.
- Multi-Touch Attribution Pipeline: Connected GA4 to BigQuery and built custom Looker reports for multi-touch attribution, giving Vital Strategies clear visibility into which channels and touchpoints drive donations and engagement.
- Direct Traffic Accuracy: Integrated Cloudflare data with BigQuery and Looker to accurately account for direct traffic and measure how many users were blocking GA4, improving the precision of all reported metrics.
- Tracking Documentation: Created a detailed tracking plan in Google Sheets mapping every event, conversion, and external connection, accessible to any team member for ongoing reference and maintenance.
Results
- Reliable Attribution Data: Multi-touch attribution reporting in Looker revealed which campaigns and channels actually drive donations, replacing guesswork with data.
- Accurate Traffic Metrics: Cloudflare integration identified the true gap between reported and actual traffic, giving leadership confidence in the numbers.
- Maintainable System: Comprehensive documentation and a clean GTM container mean the system can be maintained and extended by any competent analytics team member going forward.
Advanced event tracking and consent management for Puck News, optimized for subscription funnels with BigQuery integration for high-traffic data management.
Puck News Subscription Analytics and Tracking
Client: Puck News Role: GTM Consultant Project: Server-Side Conversion Tracking, Consent Management, and Subscription Funnel Analytics
Challenge
Puck News serves over 4 million monthly visitors through a subscription-based model. Their tracking was scattered across hardcoded scripts with no tag management system, no consent handling, and no server-side event tracking for subscription revenue. They needed a complete tracking infrastructure rebuild that could handle their traffic volume while maintaining data accuracy and privacy compliance.
Solution
I designed and implemented their entire tracking architecture:
- GTM Migration: Consolidated all scattered tracking scripts into Google Tag Manager, eliminating hardcoded analytics code from the theme and centralizing tag governance.
- Subscription Funnel Tracking: Built end-to-end event tracking for the subscription lifecycle from sign-up through cancellation, enabling accurate churn reporting and funnel optimization.
- Server-Side Events with Stripe: Implemented server-side conversion tracking through Stripe webhooks, ensuring revenue events are captured with 100% accuracy regardless of browser-based tracking limitations.
- Consent Management: Integrated consent handling through GTM with proper consent mode configuration for privacy-compliant tracking across their international audience.
- BigQuery Integration: Configured Google Cloud Functions and BigQuery for advanced data handling, routing key events directly into the data warehouse for analysis beyond what GA4 reporting provides.
Results
- Accurate Revenue Data: Server-side Stripe events provide a true picture of subscription revenue that browser-based tracking alone would miss.
- Complete Funnel Visibility: Every stage of the subscriber journey is tracked, giving the editorial and business teams actionable data on what drives conversions and what causes churn.
- Privacy-Compliant Infrastructure: Consent management ensures tracking respects user preferences while maintaining data consistency for visitors who opt out of browser-based analytics.
Implemented a cohesive analytics system for over 50 high-traffic Google Analytics profiles, integrating data into BigQuery with automated, scalable reporting that supports Northstar's large media operations.
Northstar Travel Group Analytics System Consolidation
Client: Northstar Travel Group Role: GTM Consultant Project: Analytics Consolidation Across 50+ Properties with BigQuery Reporting
Challenge
Northstar Travel Group manages over 50 high-traffic websites and needed to consolidate tracking and reporting across all properties. Legacy Universal Analytics data needed to be preserved during the GA4 migration, and the team needed automated weekly and monthly dashboards that pulled from every property without manual effort.
Solution
I built a scalable tracking and reporting system designed to handle their entire portfolio:
- GTM Deployment Across Properties: Implemented consistent Google Tag Manager configurations across 50+ sites, standardizing event tracking for over 100 million monthly events flowing into GA4.
- GA4 Migration: Migrated all properties from Universal Analytics to GA4 with historical data preservation, ensuring continuity for year-over-year reporting.
- BigQuery Reporting Pipeline: Built an automated BigQuery pipeline with clustering and partitioning optimized to query across all properties at zero additional cost. Connected to Looker for custom monthly and weekly performance dashboards.
- Monitoring and Alerting: Configured daily batch monitoring across all profiles with instant notifications to key team members if any tracking inconsistencies or sync failures occur.
- Scalable Architecture: Designed the system to automatically incorporate new properties as Northstar acquires or launches additional sites, with no manual reconfiguration needed.
Results
- Unified Reporting: A single cohesive view of all 50+ properties accessible through automated dashboards, replacing hours of manual report assembly.
- Zero-Cost Querying: BigQuery optimization eliminated additional query costs that would have been significant at this data volume.
- Future-Proof Infrastructure: New properties plug into the existing system automatically, supporting Northstar's continued growth without rebuilding the analytics stack.
Redesigned Building Engines' analytics tracking to reduce redundancy and improve accuracy, resulting in a streamlined setup with only essential events and enhanced attribution through Google Analytics.
Building Engines GTM & GA4 Cleanup
Client: Building Engines Role: GTM Consultant Project: GTM Container Rebuild and Attribution Cleanup
Challenge
Building Engines had a Google Tag Manager container with over 300 tags accumulated over years of ad-hoc additions. Duplicated landing pages, inconsistent attribution tracking, and no naming conventions made the container impossible to maintain. Nobody on the team trusted the data, and every new tag risked breaking something else.
Solution
I audited and rebuilt the entire tracking infrastructure:
- GTM Container Overhaul: Reduced the container from 300+ tags down to 18 using a modular approach with shared triggers, consistent naming conventions, and proper use of custom dimensions and metrics. Every tag followed the Provider-Action naming pattern.
- UTM Attribution Standardization: Established a strict UTM parameter structure for source, medium, and campaign values, eliminating inconsistent attribution that was polluting their reporting.
- Clean Analytics Foundation: Rebuilt the GA4 property with a clear event schema tied to actual business conversions, giving stakeholders a single source of truth they could trust.
- Ongoing Platform Integrations: Provided continuing support for new tag deployments including HubSpot and Salesforce integrations, all following the established container patterns.
Results
- Maintainable Container: A self-documenting GTM setup that any team member can understand and work with on day one.
- Trusted Data: Stakeholders across the organization now rely on analytics for decision-making because the data is consistent and accurate.
- Clean Attribution: Standardized UTM tracking eliminated the discrepancies between ad platform reporting and GA4, giving the marketing team confidence in their spend allocation.
“Kevin's expertise in Google Tag Manager, Meta, Bing, Hubspot & Segment provided exactly what we needed to create a full end-to-end attribution tracking system. He was even able to implement valuable offline conversion events occuring in the insurance underwriting process, providing us with a significant edge over the competition by optimizing our advertising spend at the right people.”CMO, SBLI
Server-Side Tracking & Conversions APIs
Ad blockers, iOS privacy restrictions, and browser tracking prevention are killing your conversion data. Server-side tracking captures what the browser misses, recovering 15-35% of lost conversions and giving ad platforms the signal quality they need to optimize campaigns.
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Facebook Conversions API with deduplication
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TikTok Events API and Google Ads offline conversions
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First-party cookie strategies for attribution
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CDP integration with Segment or RudderStack
Consent Mode & Privacy Compliance
Privacy regulations are accelerating. Every year brings new state-level laws in the US and stricter enforcement in the EU. A broken consent implementation means your Google Ads can't model conversions, your GA4 data has gaps, and your remarketing audiences shrink.
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Google Consent Mode V2 with region-specific defaults
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CookieConsent and Cookiebot integration
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GDPR, CCPA, and Global Privacy Control support
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Proper consent controls on every GTM tag
Common Concerns About Working
With a GTM Consultant
Answers to common concerns from CTOs and marketing leaders
evaluating an independent GTM consultant over an agency.
| Concern | Solution |
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Privacy Compliance Risk Companies worry about GDPR fines, CCPA violations, and the constantly changing privacy landscape. |
I implement Google Consent Mode V2 with region-specific defaults, open-source consent banners, and proper tag governance so every tag in your GTM container respects user consent. My consent architecture has been deployed on high-traffic production sites serving visitors across multiple jurisdictions. |
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Lost Conversion Data Ad blockers and browser privacy restrictions are causing 30-40% of conversion events to go unreported. |
Server-side event tracking bypasses browser-based limitations. I implement measurement APIs from Meta, Google, TikTok, and other platforms directly from your server, recovering conversions that browser pixels miss and improving ad platform optimization. |
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Data Accuracy Across Platforms Google Analytics shows different numbers than Google Ads, which shows different numbers than Meta, and nobody trusts any of them. |
A unified event tracking architecture with consistent naming conventions, shared event IDs for deduplication, and a single source of truth flowing from your GTM container to every platform eliminates the discrepancy problem at the root. |
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Messy GTM Containers Years of accumulated tags, paused experiments, and inconsistent naming make your GTM container impossible to maintain. |
I audit and rebuild containers using the Provider-Action naming pattern, organized folders, and documented consent classifications for every tag. The result is a self-documenting container any team member can understand on day one. |
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Scalability and Large Datasets Standard GA4 reports can't handle the analysis depth that enterprise marketing teams need. |
GA4 data exported to BigQuery enables SQL-based analysis of user behavior, conversion paths, and attribution at any scale. I build automated reporting pipelines that connect BigQuery to Looker Studio, Tableau, or Power BI. |
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Dependency on a Single Consultant Relying on one person for critical tracking infrastructure feels risky. |
Everything I build is documented, version-controlled, and designed for maintainability. GTM containers follow standard patterns. Server-side code lives in your repositories with clear documentation. Any competent developer can pick up where I left off. |
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Integration with Internal Teams Large companies worry an independent consultant won't fit into established workflows. |
I regularly embed with in-house engineering, marketing, and data teams. I join standups, work in your Slack channels, submit PRs to your repos, and follow your sprint cadence. I adapt to your process, not the other way around. |
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Strategy vs. Execution Gap Many analytics consultants deliver an audit report and leave implementation to your team. |
I do both. Architecture, strategy, and hands-on implementation from the same person. The consent handler class, the GTM configuration, the server-side API endpoint, and the BigQuery reporting pipeline all come from me. |
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Keeping Up with Platform Changes Google, Meta, and other platforms constantly change their tracking requirements and APIs. |
Ongoing retainer engagements include monitoring platform changes, updating consent configurations as new privacy laws take effect, and integrating new ad platform APIs as they become available. |
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Proving ROI of Better Tracking It's hard to justify the investment in tracking infrastructure when the value isn't immediately visible. |
Clients like NetBrain saw a 40% reduction in ad spend and 100% increase in lead generation after implementing accurate conversion tracking. Better data means better optimization, which means lower customer acquisition costs. |
Common GTM Consulting Questions
Answers to the most common questions about GTM consulting,
conversion tracking, and privacy compliance.
- What does a GTM consultant do?
A GTM consultant designs, implements, and maintains your entire tracking infrastructure. This includes Google Tag Manager container architecture, GA4 event tracking, conversion tracking across ad platforms, consent management, server-side event tracking, and BigQuery reporting. I handle both the strategy and the code-level implementation.
- Why hire an independent GTM consultant instead of an agency?
With an independent consultant you get direct access to a senior expert with no account manager layer, no handoff to junior staff, and no agency markup. You also get someone who can write code, not just configure tags. For most businesses, this means faster turnaround, deeper technical work, and lower cost than a comparable agency engagement.
- What is server-side tracking and why does it matter?
Server-side tracking sends conversion events from your server to ad platforms and analytics tools, bypassing browser-based limitations like ad blockers and iOS tracking prevention. It recovers 15-35% of conversion data that browser pixels miss, giving ad platform algorithms better signal quality for campaign optimization.
- What is Google Consent Mode V2?
Consent Mode V2 communicates user consent preferences to Google tags, controlling how they behave when consent is granted or denied. It includes four parameters: ad_storage, analytics_storage, ad_user_data, and ad_personalization. Proper implementation allows Google to model conversions even when users deny consent, recovering 15-25% of conversion data that would otherwise be lost.
- What is the Facebook Conversions API?
The Facebook Conversions API sends event data directly from your server to Meta, bypassing browser limitations. Combined with browser pixel tracking and proper event deduplication, it captures conversions from users who block tracking in the browser and significantly improves Meta's ability to optimize your ad campaigns.
- How long does a typical GTM implementation take?
A standard GA4 and GTM implementation with consent mode takes 2-4 weeks. Adding server-side tracking and conversions APIs extends the timeline to 4-8 weeks depending on the number of ad platforms and the complexity of your conversion funnel. Ongoing retainers provide continuous optimization and maintenance.
- Does my business need server-side tracking?
If you run paid advertising and your business depends on accurate conversion data for campaign optimization, server-side tracking is increasingly essential. Ad blockers affect 30-40% of users in some demographics, and iOS privacy restrictions continue to expand. Server-side tracking ensures your ad platforms receive the data they need regardless of browser limitations.
- How does BigQuery fit into GTM consulting?
BigQuery stores your raw GA4 and Search Console data, enabling SQL-based analysis that goes far beyond what the GA4 interface provides. I use it to build multi-touch attribution models, automate weekly performance reports, analyze conversion paths, and identify traffic patterns invisible in standard reporting.
- What does an ongoing GTM retainer include?
Retainer engagements typically include monitoring data quality, adding tracking for new campaigns and ad platforms, updating consent configurations as privacy laws change, maintaining server-side integrations, building new reports, and providing ad-hoc analysis and troubleshooting as needs arise.
- How much does GTM consulting cost?
Initial implementations typically range from $5,000 to $25,000 depending on scope, number of ad platforms, and whether server-side tracking is included. Ongoing retainers start at $3,000 per month for maintenance and optimization, scaling up for larger organizations with more complex tracking needs.
Benefits of working together
Independent Consultant, Not an Agency
You work directly with me. No account managers, no project managers, no junior staff. When you need something, I'm available by text, email, or phone. I work with your internal tools like Slack, Jira, or Asana to become part of your team.
Code-Level Implementation
Most GTM consultants configure tags. I write the consent handler classes, build the server-side API endpoints, implement conversions API integrations, and deploy directly to your codebase through pull requests. Architecture and implementation from the same person.
Let's Chat
If you're looking for expert consulting from a seasoned specialist schedule a consultation on Google Meet, or contact me by email.