Bad data is not a minor inconvenience. It is a compounding liability.
Every downstream system inherits the quality of your tracking layer. When signals are wrong, everything built on top is wrong.
Invisible revenue leakage
Events that never fire mean conversions you never see. You optimize on incomplete data and every decision downstream inherits the error.
Legal exposure you cannot price
CNIL has issued over 300 million euros in fines since 2021. A single misconfigured consent signal can trigger enforcement. Fines scale with revenue, not with the size of the violation.
Attribution built on fiction
When signals are broken, attribution models hallucinate. You shift budget based on noise and wasted ad spend compounds silently quarter after quarter.
The tools behind 92 percent signal recovery
Every tracking engagement runs through the same methodology refined across 50 plus deployments.
GA4 event architecture
Event taxonomy aligned to your conversion funnel, KPI tree, and BigQuery export requirements.
Consent Mode v2
5 CMP vendors supported. Advanced mode with behavioral modeling.
Developer documentation
DataLayer specs with code examples your dev team will actually use. Not a PDF that collects dust.
Automated QA protocol
Event-by-event validation against expected values. Issues caught in staging, not in production reports.
The foundation every analytics decision rests on.
We design your DataLayer schema, GA4 event taxonomy, and custom dimensions from scratch, structured for reporting, attribution, and warehouse export from day one.
What you get:
- DataLayer schema aligned to your funnel and business model
- GA4 taxonomy: standard, custom, and e-commerce events
- Custom dimensions mapped to your KPI tree
- Naming conventions that scale across markets and teams
Container architecture that stays maintainable at scale.
We build and govern your GTM containers with naming conventions, folder structure, trigger logic, and a debug methodology that eliminates guesswork.
What you get:
- Multi-container architecture for multi-site and multi-market
- Tag governance: naming, folders, variables, lookup tables
- Trigger design: DOM, custom events, scroll, visibility
- Debug: Preview mode, Tag Assistant, DevTools network forensics
Consent Mode v2 done right, not just toggled on.
We integrate your CMP with Consent Mode v2, validate signal forwarding across dataLayer, gcs/gcd parameters, and console, then score CNIL compliance on a 100-point scale.
What you get:
- Advanced mode with behavioral modeling for signal recovery
- Integration for OneTrust, Didomi, Axeptio, Cookiebot, Pandectes
- CNIL 100-point scoring across 6 audit criteria
- 3-channel signal validation: dataLayer, gcs/gcd, console
The document your dev team actually wants to read.
Tracking plan, developer documentation, and QA checklist that bridge the gap between analytics requirements and technical implementation.
What you get:
- Event inventory with parameters, triggers, expected values
- DataLayer push specs with working code examples
- Automated QA checks and regression testing protocol
- Handover runbook for autonomous team operation
From diagnostic to production in 7 to 10 days.
MadScan diagnostic
Automated scan of your tracking stack. Health score, consent gaps, orphan tags, signal loss. Quantified before we write a single line.
Architecture design
DataLayer schema, GA4 event taxonomy, and measurement plan, structured for your funnel, your KPIs, your warehouse.
Implementation
GTM container build, consent engineering, tag deployment. Every tag tested against its expected value before going live.
Recette
Event-by-event validation, cross-browser testing, consent flow verification. We break it in staging so production stays clean.
Handover
Documentation, team training, monitoring setup. Your team operates autonomously. We are a phone call away.
“92 percent average signal recovery. 50 plus tracking architectures deployed. 7 to 10 days from diagnostic to production.”
Concrete deliverables, not slide decks
Concrete deliverables your team can actually use. No slide decks, only tested artifacts.
Tracking plan
Complete event inventory with parameters, triggers, and expected values. For analysts and developers.
Event taxonomy
GA4-compliant naming and parameter schema: e-commerce, custom events, user properties.
GTM container
Production-ready container with tags, triggers, variables, and folder governance.
Consent audit
CNIL-scored compliance report: CMP config, Consent Mode v2 signals, remediation steps.
QA checklist
Event-by-event recette protocol with expected versus actual values and regression criteria.
Handover documentation
Training guide and maintenance runbook. Your team runs the stack without us.
32 implementation guides. 50 plus deployments.
Every recommendation traces back to a documented playbook refined across real engagements, not a blog post we read last week.
Is this the right engagement for you?
Best fit
- E-commerce brands with complex funnels and multiple conversion events
- Companies preparing for CNIL audits or GDPR enforcement
- Teams migrating from Universal Analytics to GA4
- Organizations with significant acquisition spend that need trusted attribution
Not ideal for
- Simple blog sites with no conversion tracking
- One-page landing pages or brochure websites
- One-off tag installs without ongoing governance
Common questions
How long does a tracking architecture engagement take?
A typical SIGNAL engagement (GA4 plus GTM plus Consent Mode) takes 7 to 10 business days from kickoff to production. Complex multi-market setups with server-side tracking take 10 to 14 days.
Do you work with our existing GTM container or start fresh?
We audit first, then decide. If the foundation is sound, we refactor and extend. If technical debt is too high, a clean rebuild is faster and safer. MadScan tells us which.
Which CMP platforms do you support?
OneTrust, Didomi, Axeptio, Cookiebot, and Pandectes, with documented integration guides for each. These five cover 90 percent plus of the European market.
What happens after the tracking is deployed?
We recommend transitioning to an Intelligence retainer for ongoing monitoring, anomaly alerting, and dashboard maintenance. Tracking without monitoring is a ticking clock.
Certified Analytics Engineer
DataBird 2025
GA4 Certified
GTM Server-Side Specialist
BigQuery Certified
Google Cloud
Enterprise Track Record
Carrefour. Airbus. Club Med. Ubisoft
Luxury and Premium Clients
Sezane. ByRedo. Valrhona
50 plus Client Engagements
Artefact. Sleekery. MadMetrics
Your tracking is leaking signals right now. Want to see where?
Book a 30-minute diagnostic call. We run MadScan on your site, quantify the gaps, and scope the fix.