Google Analytics 4 Marketing Measurement Training Course

Course overview

Marketing teams often have campaign, website and lead data but cannot reliably answer which channels create qualified demand, which landing pages assist conversion, or whether reported results can be trusted. Google Analytics 4 (GA4) changes the measurement model from pageviews and sessions to events, parameters and user journeys. This course helps marketers move beyond surface-level traffic reports to build a measurement approach that connects campaign activity, on-site behaviour and business outcomes while recognising the limits created by consent, attribution and data quality.

Participants learn to navigate GA4 reporting, define a measurement plan, translate marketing objectives into events and conversions, and apply a practical naming structure for campaigns and content. They work with the GA4 interface, Google Tag Manager, Explorations, attribution reports, audiences, BigQuery export concepts and Looker Studio reporting. The course covers acquisition analysis, funnel analysis, path exploration, user segments, UTM governance, ecommerce and lead-generation measurement, and methods for diagnosing missing, duplicated or poorly classified data.

Teaching combines instructor demonstrations with guided analysis of a realistic multi-channel marketing case. Each participant builds a marketing measurement specification for a chosen campaign, website or customer journey, including KPIs, event definitions, conversion rules, UTM conventions, report requirements and QA checks. They leave with a usable measurement-plan template, an analysis workbook and an implementation action list that can be taken to marketing, analytics, web-development or agency teams. The course is particularly valuable for professionals responsible for proving marketing contribution, improving website conversion or briefing teams who implement tracking.

Course objectives

By the end of this course, participants will be able to:

• Create a GA4 measurement plan that links marketing objectives, KPIs, events, parameters and conversions
• Configure campaign measurement rules using UTM parameters and a documented naming convention
• Interpret GA4 acquisition, engagement and conversion reports to identify channel and landing-page performance
• Build funnel, path and segment analyses in GA4 Explorations for a defined customer journey
• Specify event and conversion requirements for Google Tag Manager implementation
• Evaluate GA4 attribution reports and explain the decision implications of different attribution models
• Diagnose common tracking defects including duplicate events, self-referrals, missing parameters and internal traffic
• Produce a stakeholder-ready marketing performance dashboard brief and measurement improvement roadmap

Benefits of attending

Target competencies

Who should attend

• Digital Marketing Managers — who need defensible evidence of channel, campaign and website performance
• Marketing Analysts — who must turn GA4 data into acquisition, conversion and journey insights
• Performance Marketing Specialists — who manage paid media and need consistent campaign measurement
• CRM and Lifecycle Marketers — who need to assess how email, audiences and on-site journeys contribute to conversion
• Content and SEO Managers — who need to evaluate landing-page engagement and organic search outcomes
• Web and Ecommerce Managers — who brief tracking requirements and monitor conversion journeys

Requirements and prerequisites

This is a foundation-to-intermediate course. Participants should be comfortable using a web browser, spreadsheets and standard marketing terms such as campaign, channel, landing page, conversion rate and KPI. Familiarity with their organisation's website, marketing channels and customer journey will make the exercises more useful. Prior use of Google Analytics is helpful but not required; the course starts with GA4 navigation and its event-based data model. Participants do not need coding, SQL, JavaScript, Google Tag Manager configuration experience or access to a live GA4 property. A laptop and a Google account suitable for accessing training materials are expected.

Training methodology

The instructor uses a realistic lead-generation and ecommerce marketing case to demonstrate each GA4 method before participants apply it in guided exercises. Short teaching sessions are followed by work in GA4 reports and Explorations, UTM classification workshops, event-specification reviews and small-group interpretation of conflicting attribution evidence. Participants use templates to document decisions rather than simply click through reports. Daily debriefs connect findings to media, content and website actions. On the final day, each participant assembles a measurement plan and presents implementation priorities for feedback.

Course outline

Day 1: GA4 foundations for marketing decisions

• GA4 account, property, data stream and data-retention structure
• Event-based measurement model: events, parameters, users and sessions
• Marketing objectives, KPIs, leading indicators and conversion definitions
• Standard GA4 reports for acquisition, engagement and monetisation
• Channel groups, source and medium dimensions, and traffic-source scope
• Consent, data thresholds, sampling and reporting limitations
• Measurement-plan structure for lead-generation and ecommerce journeys

Workshop: Participants audit a sample marketing objective and produce a KPI-to-event measurement map for its acquisition-to-conversion journey.

Day 2: Campaign tracking and implementation requirements

• UTM parameter structure for source, medium, campaign, content and term
• Campaign naming conventions and controlled vocabulary design
• Google Tag Manager containers, tags, triggers, variables and preview mode
• GA4 recommended events, custom events and event parameters
• Key events, conversion configuration and value assignment
• Cross-domain measurement, referral exclusions and internal-traffic filters
• Tracking QA methods using DebugView, Tag Assistant and real-time reports

Workshop: Participants create a campaign-tagging matrix and an event specification for a paid campaign landing page, including QA acceptance criteria.

Day 3: Analysing customer journeys in GA4

• Acquisition report analysis by channel, campaign and landing page
• Segment creation for audiences, channels and conversion behaviour
• Free-form exploration tables and comparison techniques
• Funnel exploration setup for lead and ecommerce journeys
• Path exploration for identifying common next steps and drop-off points
• Cohort and user-lifetime concepts for retention analysis
• Landing-page performance diagnosis using engagement and conversion evidence

Workshop: Participants build a funnel exploration and path analysis for a sample website, then present two evidence-based optimisation recommendations.

Day 4: Attribution, audiences and reporting

• Data-driven attribution and rule-based attribution model differences
• Conversion paths and assisted-channel interpretation
• Attribution reporting caveats for budget and performance decisions
• GA4 audiences for analysis, remarketing and activation planning
• BigQuery export structure and when raw event data is required
• Looker Studio dashboard design for executive and channel-management audiences
• Marketing reporting governance: definitions, cadence, owners and commentary

Workshop: Participants compare attribution views for a multi-touch campaign and draft a dashboard brief with agreed metrics, filters and decision questions.

Day 5: Measurement improvement and application planning

• GA4 data-quality audit framework and issue-prioritisation method
• Duplicate-event, missing-parameter and unexpected-traffic diagnosis
• Conversion validation against CRM, ecommerce or offline outcome records
• Privacy-aware measurement choices and consent-mode implications
• Stakeholder briefing for marketers, developers, agencies and leadership
• Measurement-roadmap prioritisation using impact, effort and dependency criteria
• Operating rhythm for campaign QA, reporting review and optimisation decisions

Workshop: Participants complete and peer-review a marketing measurement plan, QA checklist and 90-day implementation roadmap for their own or a supplied case.

Tools & standards covered

Google Analytics 4, Google Tag Manager, Looker Studio, Google BigQuery

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions