Course Modules:

Module 1: Introduction to Machine Learning in Marketing

• Overview of ML concepts
• Importance of ML in digital marketing
• Key ML tools for marketers
• Case Study: ML for predictive customer targeting

Module 2: Customer Segmentation with ML

• Clustering techniques
• Customer lifetime value prediction
• Behavior-based segmentation
• Case Study: ML-driven segmentation for retail campaigns

Module 3: Predictive Analytics in Marketing

• Forecasting customer behavior
• Campaign response prediction
• Sales trend analysis
• Case Study: Predictive modeling for email campaigns

Module 4: Marketing Automation with ML

• Dynamic content personalization
• AI-assisted ad targeting
• Automation of repetitive marketing tasks
• Case Study: ML-powered ad optimization

Module 5: Evaluating ML Models for Marketing

• Model selection and performance metrics
• A/B testing with ML outputs
• Practical deployment of ML models
• Case Study: Assessing ML effectiveness in a digital campaign