Advanced Google Analytics 4: Optimization and Attribution Course

Lesson 1 • Property and Data Stream Setup

Configures GA4 properties, data streams, and measurement IDs. Correct setup here prevents data gaps in every later chapter.

Lesson 2 • GA4 vs Universal Analytics Fundamentals

Contrasts GA4's event-driven schema with session-based UA logic. Establishes the conceptual shift required for all subsequent GA4 work.

Lesson 3 • Admin Settings and Data Controls

Configures data filters, internal traffic exclusions, and consent settings. These controls protect data quality throughout the entire property.

Lesson 4 • User Properties and Identity

Covers user-scoped properties and the three identity methods GA4 uses. Accurate identity resolution is foundational to attribution and audience building.

Lesson 1 • Custom Event Tag Implementation

Builds event tags for clicks, form submissions, and scroll depth. Each tag maps directly to the event schema defined in Chapter 1.

Lesson 2 • GTM Container Structure and Workflow

Explains workspaces, versions, and the publish cycle in GTM. A disciplined workflow prevents tag conflicts that corrupt GA4 data.

Lesson 3 • E-commerce Data Layer Implementation

Pushes structured e-commerce objects to the data layer for GA4 purchase events. Accurate product data is required for revenue attribution in later chapters.

Lesson 4 • Tag Validation and Quality Assurance

Uses GTM preview, GA4 DebugView, and browser extensions to verify tags. Systematic QA here prevents silent data loss in production.

Lesson 1 • E-commerce Purchase Conversion Setup

Configures the purchase event with revenue, tax, and shipping parameters. Accurate revenue data is the basis for ROAS calculations in attribution chapters.

Lesson 2 • Conversion Validation and Debugging

Verifies conversion firing accuracy using DebugView and real-time reports. Catching misfires before launch protects downstream optimisation decisions.

Lesson 3 • Conversion Import to Google Ads

Imports GA4 conversions into Google Ads for Smart Bidding signal enrichment. This link is prerequisite knowledge for the attribution chapter.

Lesson 4 • Conversion Event Strategy

Maps business goals to GA4 conversion events using a priority framework. Strategic alignment here ensures reports reflect actual business value.

Lesson 1 • Predictive Audiences and Metrics

Activates GA4 predictive metrics including purchase probability and churn probability. Predictive audiences require sufficient conversion volume established in Chapter 3.

Lesson 2 • Exploration Segments vs. Audiences

Distinguishes Exploration-only segments from publishable audiences and their use cases. Segments enable ad hoc analysis while audiences enable activation.

Lesson 3 • Behavioural and Sequential Audiences

Creates audiences based on event sequences and time-bound behaviours. Sequential logic captures high-intent users that simple conditions miss.

Lesson 4 • User Explorer and Individual Paths

Analyses individual user journeys using the User Explorer report and event streams. Individual-level insight validates audience logic and uncovers UX friction.

Lesson 1 • Segment Overlap and User Lifetime

Identifies audience intersections and lifetime value patterns using specialised exploration types. These insights feed audience refinement and LTV-based bidding strategies.

Lesson 2 • Path Exploration and User Flow

Traces forward and backward user paths from any starting event or page. Path analysis reveals unexpected navigation patterns that funnels cannot capture.

Lesson 3 • Exploration Workspace Overview

Navigates the Explorations interface including variables, tab settings, and techniques. Understanding the workspace structure accelerates all subsequent analysis techniques.

Lesson 4 • Funnel Exploration Analysis

Builds open and closed funnels to measure step-by-step conversion drop-off. Funnel data directly informs the optimisation strategies in Chapter 7.

Lesson 1 • Acquisition Reports and Metrics

Interprets user acquisition and traffic acquisition reports with their distinct metric sets. Distinguishing first-visit from session-level attribution prevents analytical errors.

Lesson 2 • Campaign Performance Deep Dive

Analyses campaign-level data by combining acquisition reports with Explorations. This synthesis skill prepares analysts for the attribution modelling work in Chapter 7.

Lesson 3 • Custom Channel Groupings

Creates custom channel groups to match internal reporting structures and business needs. Custom groupings allow apples-to-apples comparison with offline reporting.

Lesson 4 • UTM Parameter Strategy and Governance

Designs a consistent UTM taxonomy for campaigns across all paid and owned channels. Consistent tagging is the prerequisite for accurate attribution in Chapter 7.

Lesson 1 • Attribution Model Fundamentals

Defines rule-based and data-driven attribution models and their mathematical assumptions. Model choice directly determines which channels receive conversion credit.

Lesson 2 • Conversion Path Analysis

Examines multi-touch conversion paths to understand channel sequencing and assist roles. Path data complements model comparison by showing actual user journey patterns.

Lesson 3 • GA4 Attribution Settings Configuration

Sets the reporting attribution model and conversion credit lookback windows at the property level. These settings affect every conversion report across the entire property.

Lesson 4 • Attribution Insights for Budget Decisions

Translates attribution data into actionable budget reallocation recommendations. This applied skill bridges analytical findings and strategic media planning.

Lesson 5 • Model Comparison Tool

Uses the Attribution model comparison report to evaluate credit shifts between models. Comparing models reveals which channels are over- or under-credited under current settings.

Lesson 1 • Executive Dashboard and Reporting Cadence

Designs GA4-connected dashboards and reporting templates for leadership audiences. Structured reporting cadences translate analytical work into strategic business decisions.

Lesson 2 • A/B Testing Integration with GA4

Connects A/B testing platforms to GA4 via custom dimensions and events for unified reporting. Unified data enables statistical validation of test results within GA4 Explorations.

Lesson 3 • Insight-to-Hypothesis Framework

Converts GA4 funnel and path data into structured CRO hypotheses with priority scores. A disciplined hypothesis process ensures testing resources target highest-impact opportunities.

Lesson 4 • Automated Insights and Anomaly Detection

Leverages GA4's built-in anomaly detection and custom insights for proactive monitoring. Automated alerts reduce time-to-detection for data quality issues and traffic shifts.