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Overview this course
Server-Side Blueprint by Jeff Sauer is a practical, consultant-grade training designed to help you stop losing conversion data to browser restrictions, tracking prevention, and constant platform changes. In just 12 hours across 6 intensive sessions, you’ll build end-to-end server-side tracking on Stape’s infrastructure using Google Tag Manager (web & server) and Google Analytics 4, without touching back-end code.
The program is deliberately hands-on. You won’t watch slides and hope it sticks—you’ll deploy a working server container, configure first-party data collection, connect Meta’s Conversions API with deduplication, integrate Google Ads, and implement professional monitoring. Along the way, you’ll adopt resilient patterns—custom domains, sGTM best practices, and consent-aware setups—that continue to function as browsers evolve.
A standout addition is the 3-Day MCP Implementation Lab. MCP (Model Context Protocol) bridges AI with your measurement stack so you can audit GTM, set up server containers, and generate reports from real data—using plain-English prompts. You’ll see how elite agencies are using MCP to compress days of tagging work into minutes while maintaining accuracy and governance.
By the end, you’ll have client-ready systems, reusable templates, and the confidence to deliver results that competitors struggle to replicate.
Why should you choose this course?
Because client-side only tracking is no longer enough. Browsers, OS updates, and ad blockers increasingly filter or throttle client-side beacons. Server-side flips the model by routing events through your server environment with first-party authority and enterprise-grade control.
What makes this workshop different:
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Built for busy consultants: Six focused live builds take you from zero to deployment in hours—not weeks.
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Zero back-end development: Work through familiar GTM workflows; Stape manages the infrastructure so you can deliver without DevOps.
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Proven environment: Stape powers billions of requests; you get speed, stability, and a visual interface that mirrors your GTM process.
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Privacy-aware by design: Implement consent mode, first-party cookies, and data minimization patterns that align with modern privacy expectations.
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AI acceleration via MCP: Use AI to audit containers, generate tags, troubleshoot misfires, and scale multi-client management.
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Instruction from industry leaders: Learn the techniques used by top practitioners and educators who’ve trained teams at leading companies and agencies.
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Immediate business impact: Move from explaining “why numbers don’t match” to delivering resilient attribution, improving signal quality for media platforms, and commanding premium consulting fees.
The result: You become the consultant who brings clarity to messy data, stability to paid media, and repeatable frameworks to every account.
What You’ll Learn
You’ll progress through six live sessions plus a three-day MCP lab. Each step pairs conceptual clarity with hands-on implementation so you walk away with assets you can deploy for clients immediately.
Sessions 1–2: Server-Side Foundations & Deployment
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Master the Fundamentals
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Understand how server-side GTM routes events and why first-party collection outperforms client-side only setups.
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Evaluate client readiness (technical and business), calculate costs, and position ROI credibly in proposals.
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Navigate the Stape platform—instances, containers, DNS, and performance considerations.
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Deploy Your First Server-Side System
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Create a server container in GTM and deploy it on Stape.
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Configure custom domains for first-party collection and improved deliverability.
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Implement GA4 server-side to capture clean, consistent event data.
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Validate data flows end-to-end with testing checklists and debug tools.
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Outcome: A functioning server-side implementation streaming reliable GA4 data through your domain.
Sessions 3–4: Advanced Implementation & Ad-Blocker Resilience
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Bulletproof Your Tracking
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Set up custom loaders to bypass common ad-blocking heuristics.
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Apply GA4 bypass techniques where appropriate to stabilize collection.
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Design first-party cookie strategies (durability, naming, expiration) with security in mind.
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Deploy same-origin patterns for enterprise environments and stricter IT policies.
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Meta Ads Server-Side Mastery
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Implement Conversions API with robust deduplication to align pixel and server events.
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Enrich with User Provided Data for better matching and more accurate attribution.
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Configure offline conversion pipelines to capture sales from calls, CRMs, or POS systems.
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Troubleshoot common pitfalls (identifiers, event mappings, timestamp mismatch) quickly.
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Outcome: Ad-blocker-resistant tracking that restores visibility on conversions and improves signal quality to Meta.
Sessions 5–6: Google Ads Integration & Professional Monitoring
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Google Ads Server-Side Excellence
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Route Google Ads events through sGTM, including remarketing with custom parameters.
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Implement User Provided Data for Ads matching where appropriate.
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Configure offline conversions and conversion adjustments with clear governance.
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Professional Management & Monitoring
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Implement consent mode and region-aware logic to respect user choices.
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Add server log monitoring and alerting for proactive maintenance.
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Analyze uplift with attribution-aware reporting and share client-ready dashboards.
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Set up multi-client management in Stape so you can scale without chaos.
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Outcome: An enterprise-style setup with monitoring, alerting, and documentation that clients trust.
3-Day MCP Implementation Lab (Bonus): AI for GTM & GA4
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Day 1 – MCP Fundamentals
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Understand MCP architecture and security considerations.
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Stand up MCP servers, connect AI to your GTM/GA4 environments, spreadsheets, and CRMs.
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Build your first automation: audit a container and summarize findings in minutes.
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Day 2 – Advanced GTM Automation
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Generate tags and triggers from plain-English briefs.
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Automate container auditing, naming conventions, and error detection.
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Use intelligent troubleshooting to resolve firing order issues and configuration drift.
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Day 3 – Agency Implementation
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Design multi-client workflows for repeatable deployments.
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Create automated reporting based on live data streams.
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Position AI-assisted measurement as a strategic advantage in proposals and QBRs.
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Outcome: An AI-augmented delivery engine that compresses setup time, improves accuracy, and scales across your portfolio.
Who Should Take This Course?
This workshop is tailored for professionals who already work with GTM and want to modernize their measurement stack without hiring developers or rebuilding sites.
You’ll benefit most if you are:
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A consultant or agency leader who manages paid media, analytics, or CRO and needs resilient attribution.
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A GTM practitioner comfortable with tags, triggers, and variables, ready to extend your skill set to server-side.
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A performance marketer with clients investing significantly in advertising who must stabilize conversion signals.
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A solutions architect/analyst tasked with privacy-aware data collection, consent orchestration, and first-party strategies.
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A team lead looking to standardize measurement across brands and reduce firefighting caused by tracking breakage.
If you’re completely new to GTM, consider building basic competency first—this curriculum moves quickly and assumes you can navigate GTM without step-by-step beginner coaching.
Conclusion
For years, measurement teams have watched their visibility shrink as browsers, OS vendors, and platforms tightened data flows. The answer isn’t more caveats in your reports—it’s a different architecture. Server-side tracking re-centers measurement on first-party control, improves the quality of signals to ad platforms, and gives you the levers to adapt as policies change.
Server-Side Blueprint by Jeff Sauer distills that shift into a compressed, practical pathway. You’ll stand up production-ready infrastructure on Stape, integrate GA4, Meta CAPI, and Google Ads server-side, instrument privacy-aware consent, and implement monitoring so issues are caught before clients feel the pain. Then you’ll take a step into the near future with MCP, where AI transforms how you audit, deploy, and maintain containers across multiple accounts.
The transformation is tangible: fewer blind spots, stronger attribution, cleaner reporting, and a clear distinction in the market. Instead of apologizing for lost data, you’ll be the professional who protects revenue, restores attribution, and scales accurate measurement across clients.
Ready to build tracking systems that keep working while others keep breaking? Enroll now and turn those 12 hours into a durable competitive advantage for every client you serve.


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