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Learn Privacy-First Analytics

Consent Mode, server-side tagging, clean rooms and CDPs — measuring marketing accurately in a world of cookie decline, consent requirements and modelled data.

Implement Consent Mode v2 correctly and understand what it models
Decide whether server-side tagging is worth the infrastructure cost
Judge when a CDP or clean room solves a problem you actually have
Measure marketing credibly when the data is systematically incomplete
Free foreverNo signup requiredProgress saved locally15 lessons

Three tracks — pick your level. Progress is saved automatically in your browser.

BeginnerStart here. No prior knowledge assumed.
0 of 5 complete
Lesson 1
Web Analytics Fundamentals
What analytics measures, what it cannot, and why it is a sample not a census.
Lesson 2
Privacy-First Analytics
The shift from third-party tracking to consented, first-party measurement.
Lesson 3
Consent Mode v2
The four consent signals, conversion modelling, and basic versus advanced.
Lesson 4
Google Tag Manager
The tag layer where consent and tracking decisions are actually implemented.
Lesson 5
Conversion Tracking
Defining conversions that map to real business outcomes.

What does Consent Mode do when a user declines?

Why is analytics data a sample rather than a census?

IntermediateBuild on the basics.
0 of 5 complete
Lesson 1
Server-Side Tagging
What it improves, what it costs, and why it is not a consent workaround.
Lesson 2
Customer Data Platforms
Identity resolution, composable CDPs, and whether you need one at all.
Lesson 3
UTM Parameters
Campaign tracking conventions that survive contact with a real team.
Lesson 4
Analytics Audit Checklist
Catching the silent failures that make reports quietly wrong.
Lesson 5
GA4 Setup and Configuration
Getting the foundation right before anything is built on it.

What does server-side tagging NOT do?

What is the hardest part of a CDP?

AdvancedDepth, edge cases and strategy.
0 of 5 complete
Lesson 1
Data Clean Rooms
Analysing shared data without exposing it, and the real limitations.
Lesson 2
Attribution Modelling
Multi-touch models, and why perfect attribution is not achievable.
Lesson 3
Cohort and Funnel Analysis
Reading behaviour over time when individual-level tracking is incomplete.
Lesson 4
Contextual Targeting
The post-cookie targeting alternative, and how it changed measurement.
Lesson 5
Looker Studio Dashboards
Communicating modelled and incomplete data honestly to stakeholders.

What is the main limitation of a walled garden clean room?

Why is perfect attribution impossible?

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