Visualize, Analyze, and Boost Marketing Performance Course

Lesson 1 • The Data-Driven Marketing Mindset

Establishes why evidence replaces intuition in modern marketing decisions. Sets the analytical framework used throughout the entire course.

Lesson 2 • Core Marketing Metrics Defined

Introduces the essential quantitative vocabulary marketers use daily. Provides precise definitions that prevent misinterpretation in later analysis chapters.

Lesson 3 • Setting Meaningful KPIs

Teaches how to select KPIs aligned to business objectives rather than vanity metrics. Directly enables goal-setting in every subsequent analytical exercise.

Lesson 1 • Designing a Tracking Plan

Covers how to document every event, property, and goal before touching any tool. A solid tracking plan prevents data gaps that undermine analysis.

Lesson 2 • Data Auditing and Hygiene

Teaches systematic methods to detect and fix tracking errors before they corrupt reports. Clean data is the prerequisite for every analytical technique in this course.

Lesson 3 • Web Analytics Implementation

Walks through tag-based tracking setup on websites and landing pages. Accurate web data is the backbone of conversion and traffic analysis covered later.

Lesson 4 • Pixel and Conversion Tracking

Covers platform-specific pixels and server-side conversion signals for paid channels. Accurate conversion data directly powers the paid media optimisation chapters.

Lesson 1 • Dashboard Maintenance and Governance

Establishes processes for keeping dashboards accurate, relevant, and trusted over time. Governance prevents dashboard sprawl and data inconsistency across teams.

Lesson 2 • Visualising Channel Performance

Applies design principles to build channel-specific performance views for paid, organic, email, and social. Channel views form the core of most marketing dashboards.

Lesson 3 • Executive and Stakeholder Dashboards

Teaches how to distil complex data into high-level views for non-technical audiences. Stakeholder dashboards translate marketing work into business impact language.

Lesson 4 • Connecting Data Sources to Dashboards

Covers methods for pulling live data from ad platforms, CRMs, and analytics tools into a single view. Live connections eliminate manual reporting and enable real-time decisions.

Lesson 1 • Bounce Rate and Engagement Metrics

Explains engagement signals that indicate content-audience fit on landing pages. Low engagement metrics are early warnings of messaging or audience targeting misalignment.

Lesson 2 • Traffic Analysis and Segmentation

Breaks down traffic by source, device, geography, and behaviour to reveal audience patterns. Segmentation is the lens through which all funnel analysis becomes actionable.

Lesson 3 • Goal Completion and Micro-Conversion Tracking

Tracks smaller conversion actions that predict final purchase or lead behaviour. Micro-conversions reveal intent signals invisible in macro-conversion data alone.

Lesson 4 • Funnel Visualisation and Drop-Off Analysis

Maps the step-by-step conversion path and quantifies loss at each stage. Drop-off data pinpoints exactly where to focus optimisation effort.

Lesson 1 • Data-Driven Attribution Models

Introduces algorithmic attribution that uses actual conversion path data to assign credit. Data-driven models require the clean tracking data established in earlier chapters.

Lesson 2 • Attribution Reporting for Budget Decisions

Translates attribution insights into actionable budget reallocation recommendations. Connects analytical output to the performance optimisation strategies in later chapters.

Lesson 3 • Attribution Fundamentals

Defines the attribution problem and explains why default models often mislead marketers. A clear conceptual foundation prevents costly misreads of channel performance data.

Lesson 4 • Cross-Channel Performance Comparison

Teaches how to compare channel efficiency using consistent attribution and normalised metrics. Apples-to-apples comparison is essential before reallocating budget across channels.

Lesson 1 • Analysing and Scaling Test Results

Covers result interpretation, winner implementation, and building a test-and-learn roadmap. Scaling winners systematically compounds performance gains over time.

Lesson 2 • Experimentation Principles and Statistics

Covers hypothesis formation, statistical significance, and sample size calculation. A rigorous statistical foundation prevents false positives that waste optimisation effort.

Lesson 3 • Landing Page and Funnel Experiments

Extends testing to on-site elements identified as drop-off points in the funnel analysis chapter. Page experiments close the loop between diagnosis and improvement.

Lesson 4 • Testing Ad Creative and Copy

Applies experimentation methodology to paid and organic ad elements. Creative testing directly feeds the paid media optimisation strategies in the next chapter.

Lesson 1 • Budget Pacing and Scaling Strategies

Covers how to pace spend, identify scaling headroom, and expand budgets without sacrificing efficiency. Scaling frameworks protect ROAS while growing campaign volume.

Lesson 2 • Audience Targeting and Segmentation

Teaches how to build, layer, and exclude target audiences to improve relevance and reduce waste. Precise audience targeting multiplies the impact of creative and bidding improvements.

Lesson 3 • Bidding Strategy Optimisation

Compares manual, automated, and smart bidding strategies and when to use each. Bidding decisions directly determine cost efficiency and volume at any given budget level.

Lesson 4 • Paid Media Audit Framework

Provides a structured checklist for diagnosing inefficiency in existing paid campaigns. The audit creates a prioritised action list that drives all subsequent optimisation work.

Lesson 1 • Quarterly and Annual Review Cadences

Establishes the rhythm of performance reviews that keep strategy aligned with results. Regular cadences institutionalise the analytical practices built throughout this course.

Lesson 2 • Forecasting Marketing Performance

Covers trend-based, regression, and scenario forecasting methods applicable to marketing data. Accurate forecasts enable confident budget requests and realistic goal-setting.

Lesson 3 • Teaches how to structure data into a coherent story that drives decisions rather than just reporting numbers.

Teaches how to structure data into a coherent brand story that drives decisions rather than just reporting numbers. Narrative framing is what makes analytical work influential at the executive level.

Lesson 4 • Marketing Mix and Budget Planning

Applies attribution and channel analysis to allocate budgets across the marketing mix strategically. Budget plans grounded in performance data earn stakeholder trust and approval.