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Marketing Analytics Accelerator Bootcamp
Curriculum
5 Sections
5 Lessons
20 Hours
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Session 1: Marketing Analytics Fundamentals (4 hours)
1
1.1
Topics:
Introduction to marketing analytics and its role in digital strategy Types of marketing data: user behavior, campaign performance, conversions
Setting KPIs and goals for marketing campaigns Overview of key analytics platforms (GA4, Looker Studio, CRM, Ad platforms)
Activity: Group discussion – audit and define KPIs for a mock campaign
Session 2: Google Analytics 4 (GA4) – Setup and Interpretation (4 hours)
1
2.1
Topics:
Introduction to GA4 and differences from Universal Analytics Setting up GA4 and tracking key events
Understanding GA4 dashboard, real-time, lifecycle, and user reports Using segments and comparisons
Hands-on: Analyze a sample e-commerce site using GA4
Session 3: Data Visualization for Marketing Insights (4 hours)
1
3.1
Topics:
Choosing the right visualizations for different metrics (funnel, bar, pie, line) Using Looker Studio (Google Data Studio) to build marketing dashboards
Creating custom reports to track performance and ROI Hands-on: Build a marketing dashboard with GA4 data
Session 4: Marketing Attribution & Multi-Touch Analysis (4 hours)
1
4.1
Topics:
Understanding attribution models: first-click, last-click, linear, time decay Overview of GA4 attribution reports
Evaluating customer journeys and media mix Pros & cons of different attribution strategies
Hands-on: Attribution analysis case study using sample data
Session 5: A/B Testing & Experimentation in Marketing (4 hours)
1
5.1
Topics:
What is A/B testing and why it matters? Tools for experimentation: Google Optimize (or other free tools), native platform testing
Designing experiments: hypothesis, control vs. variation, statistical significance Analyzing test results to inform strategy
Capstone Activity: Plan a complete A/B testing strategy for a real-world scenario
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