Advanced Digital Marketing Strategy and Optimisation Training Course

Course overview

Digital marketing teams are often asked to increase pipeline, revenue and retention while working across fragmented channel data, rising media costs and competing stakeholder priorities. This course addresses the point where channel-level competence is no longer enough: participants learn to diagnose commercial performance, decide where investment should move, and build an optimisation system that links marketing activity to measurable business outcomes. It is designed for professionals who need to defend budget decisions with evidence rather than platform metrics alone.

The course covers advanced audience and journey strategy, measurement architecture, attribution limits, conversion-rate optimisation, paid media efficiency, lifecycle automation and executive reporting. Participants work with GA4, Google Ads, Looker Studio and Semrush to establish meaningful KPIs, segment audiences, evaluate channel contribution, identify funnel leakage and prioritise tests. They learn practical methods including KPI trees, measurement plans, incrementality thinking, cohort analysis, RACE planning, experiment design, landing-page diagnostics and budget reallocation models.

Delivery combines instructor-led strategy sessions with guided platform exercises, performance-data case studies and team workshops. Each participant applies the methods to a realistic business scenario or their own organisation, creating an integrated Digital Marketing Optimisation Plan. The final deliverable includes a channel and audience strategy, KPI framework, dashboard specification, testing backlog, media investment recommendations and a 90-day implementation roadmap that can be used in budget, campaign and leadership discussions.

The course is best suited to experienced marketers, digital leads and commercial managers who already understand core channels and now need to manage performance across the full customer journey. It also gives managers approving training a structured way to standardise optimisation practice, strengthen reporting discipline and improve the quality of marketing investment decisions.

Course objectives

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

• Construct a KPI tree that connects channel metrics to revenue, pipeline, retention and customer acquisition cost
• Design a measurement plan covering GA4 events, conversions, UTM governance, data sources and reporting ownership
• Evaluate attribution models and identify where incrementality testing is needed before reallocating media budget
• Segment audiences using behavioural, lifecycle, intent and value-based criteria for channel activation
• Diagnose funnel leakage with cohort, path and conversion-rate analysis to prioritise optimisation opportunities
• Build a structured experimentation backlog using hypotheses, ICE scoring, success metrics and test design
• Create a Looker Studio performance dashboard specification for executive and operational reporting
• Produce a 90-day digital marketing optimisation plan with channel actions, budget recommendations and accountable owners

Benefits of attending

Target competencies

Who should attend

• Digital Marketing Managers — who must coordinate channel performance and justify investment decisions
• Head of Marketing — who need a repeatable operating model for growth, measurement and optimisation
• Performance Marketing Managers — who manage paid acquisition efficiency across search, social and display activity
• Marketing Analytics Specialists — who translate web, campaign and CRM data into commercially useful recommendations
• Growth Managers — who own acquisition, activation and retention experiments across the customer journey
• E-commerce Managers — who need to improve conversion, repeat purchase and profitable traffic quality

Requirements and prerequisites

Participants should have practical experience planning, running or reviewing digital marketing activity and be comfortable with core concepts such as audiences, funnels, conversion rates, paid media metrics, email or lifecycle campaigns, and campaign tagging. Familiarity with Google Analytics or GA4 reports, spreadsheets and at least one advertising platform is strongly recommended. Participants should be able to interpret measures such as CTR, CPA, ROAS and conversion rate. No coding, SQL, data-science qualification or prior experience building dashboards is required. The course teaches the strategic use of GA4, Google Ads, Looker Studio and Semrush rather than platform administration from first principles.

Training methodology

The five days combine instructor-led briefings with working sessions built around a realistic multi-channel growth case. Participants analyse GA4-style journey data, assess Google Ads performance, review competitor and keyword evidence in Semrush, and define reporting outputs in Looker Studio. Small-group workshops are used to challenge attribution assumptions, prioritise conversion tests and defend budget choices. Daily exercises feed into an individual or organisation-based optimisation plan. On the final day, participants present their recommendations, receive instructor feedback and refine a 90-day implementation sequence.

Course outline

Day 1: Commercial strategy, audiences and measurement foundations

• Business model analysis and digital growth constraints
• KPI trees linking marketing activity to commercial outcomes
• RACE framework for full-funnel channel planning
• Audience segmentation by value, lifecycle, behaviour and intent
• Customer journey mapping across owned, earned and paid touchpoints
• GA4 measurement architecture and event taxonomy
• UTM naming conventions and campaign governance controls

Workshop: Participants build a KPI tree and measurement-plan outline for a case organisation, defining decision metrics, data sources and owners.

Day 2: Analytics, attribution and performance diagnosis

• GA4 acquisition, engagement and conversion report interpretation
• Explorations for funnel, path and segment analysis
• Cohort analysis for retention and repeat-behaviour assessment
• Data-quality checks for events, conversions and source attribution
• Rule-based and data-driven attribution model limitations
• Incrementality principles and geo-holdout test design
• Marketing performance diagnosis using CAC, ROAS, LTV and payback period

Workshop: Participants diagnose a declining performance scenario from GA4-style data and produce an evidence-based list of root-cause hypotheses.

Day 3: Channel portfolio and paid media optimisation

• Channel portfolio assessment by reach, intent, cost and marginal return
• Google Ads account structure and conversion-action alignment
• Search query analysis, negative keyword strategy and match-type control
• Bidding strategy selection and target-setting guardrails
• Creative testing matrices for paid social and display campaigns
• Semrush competitor, keyword-gap and search-intent analysis
• Budget reallocation models using marginal CPA and contribution evidence

Workshop: Participants review a paid media portfolio, identify inefficient spend and present a reallocation recommendation with assumptions and risks.

Day 4: Conversion, lifecycle and experimentation systems

• Landing-page heuristic review and message-match analysis
• Conversion-rate optimisation research methods and friction diagnosis
• Experiment hypotheses, primary metrics and guardrail metrics
• ICE scoring for test prioritisation and delivery sequencing
• A/B test design, sample-size principles and validity threats
• Lifecycle messaging triggers for activation, nurture and retention
• Personalisation rules using audience, intent and behavioural signals

Workshop: Participants create a prioritised experimentation backlog containing test hypotheses, target segments, success criteria and implementation requirements.

Day 5: Reporting, governance and 90-day optimisation planning

• Looker Studio dashboard requirements and stakeholder reporting layers
• Executive scorecards versus operational performance dashboards
• Metric definitions, reporting cadence and insight-commentary standards
• Agency, channel-owner and data-team accountability models
• Marketing budget scenarios and investment decision rules
• Risk controls for privacy, consent and first-party data use
• 90-day optimisation roadmap development and benefit tracking

Workshop: Participants assemble and present a Digital Marketing Optimisation Plan with dashboard specification, test backlog, budget actions and a 90-day roadmap.

Tools & standards covered

Google Analytics 4, Google Ads, Looker Studio, Semrush

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