🎯 Course Description:
This course provides a 5‑day deep dive into using data and analytics to inform marketing strategy and decision making. Participants explore data collection, metrics, attribution models, predictive analytics, and dashboards.
Participants will work through real datasets, apply analytical tools, and build strategies based on insights.
👥 Who Should Attend:
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Marketing analysts and data scientists
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Marketing managers seeking more evidence‑based decision making
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Business intelligence professionals
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Product managers
🗓️ Day 1: Foundations of Marketing Metrics
| Time | Topic |
|---|---|
| 08:30 – 09:00 | Welcome, Course Overview, Introductions |
| 09:00 – 10:30 | Key Marketing Metrics (Traffic, Conversion, Engagement, CLV etc.) |
| 10:30 – 10:45 | ☕ Coffee Break |
| 10:45 – 12:15 | Data Sources & Collection Methods |
| 12:15 – 01:15 | 🍽 Lunch Break |
| 01:15 – 02:45 | Data Quality & Ethics in Marketing Analytics |
| 02:45 – 03:00 | ☕ Coffee Break |
| 03:00 – 04:30 | Workshop: Cleanse and explore sample data |
🗓️ Day 2: Attribution, Models & Customer Lifetime Value
| Time | Topic |
|---|---|
| 08:30 – 10:00 | Attribution Models: Last Click, Multi‑touch etc. |
| 10:00 – 10:15 | ☕ Coffee Break |
| 10:15 – 12:15 | Customer Lifetime Value (CLV) & Retention Metrics |
| 12:15 – 01:15 | 🍽 Lunch Break |
| 01:15 – 02:45 | Churn Analysis & Retention Strategy |
| 02:45 – 03:00 | ☕ Coffee Break |
| 03:00 – 04:30 | Case Study: Applying attribution and CLV in campaigns |
🗓️ Day 3: Predictive & Prescriptive Analytics
| Time | Topic |
|---|---|
| 08:30 – 10:00 | Predictive Analytics Tools & Techniques |
| 10:00 – 10:15 | ☕ Coffee Break |
| 10:15 – 12:15 | Segmentation & Propensity Modelling |
| 12:15 – 01:15 | 🍽 Lunch Break |
| 01:15 – 02:45 | Pricing, Promotion & Forecasting Models |
| 02:45 – 03:00 | ☕ Coffee Break |
| 03:00 – 04:30 | Workshop: Forecasting demand & budget planning |
🗓️ Day 4: Dashboarding & Decision‑Support Systems
| Time | Topic |
|---|---|
| 08:30 – 10:00 | Dashboard Design Principles |
| 10:00 – 10:15 | ☕ Coffee Break |
| 10:15 – 12:15 | Tools: Google Analytics, BI tools, Data Visualization |
| 12:15 – 01:15 | 🍽 Lunch Break |
| 01:15 – 02:45 | Real‑time vs Batch Reporting |
| 02:45 – 03:00 | ☕ Coffee Break |
| 03:00 – 04:30 | Workshop: Build a marketing dashboard for your business |
🗓️ Day 5: Strategy & Optimization
| Time | Topic |
|---|---|
| 08:30 – 10:00 | Optimizing Marketing Spend & ROI |
| 10:00 – 10:15 | ☕ Coffee Break |
| 10:15 – 12:15 | Experimentation, A/B Testing & Growth Hacking |
| 12:15 – 01:15 | 🍽 Lunch Break |
| 01:15 – 03:00 | Scaling Strategy Based on Insights & Predictive Models |
| 03:00 – 03:15 | ☕ Coffee Break |
| 03:15 – 04:30 | Final Q&A, Presentations, Feedback & Certificates |
📂 Course Materials Provided:
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Analytics tools guide & sample datasets
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Attribution & CLV calculation templates
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Dashboard mockups & BI tool cheat‑sheets
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Case studies in data‑driven marketing
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Experimentation & optimization playbooks
