Course Modules

Module 1: Foundations of Personalization in Marketing

• Evolution of digital marketing personalization
• Types of personalization: behavioral, contextual, predictive
• Role of data in crafting personalized experiences
• Key personalization challenges and risks
• Case Study: Evolution of personalization in a global e-commerce brand

Module 2: Data-Driven Segmentation and Targeting

• Techniques for customer segmentation
• Behavioral and psychographic targeting methods
• Leveraging analytics and AI for predictive segmentation
• Integrating segmentation into marketing campaigns
• Case Study: Targeted campaigns for a subscription streaming service

Module 3: Personalization Tools and Technologies

• Overview of CRM, DMP, and CDP platforms
• Email marketing personalization tools
• AI-driven recommendation engines
• Cross-channel personalization automation
• Case Study: Implementing AI recommendations in a retail app

Module 4: Designing Personalized Campaigns

• Crafting content tailored to customer personas
• Personalization in social media and paid ads
• Dynamic website personalization
• A/B testing personalized campaign variations
• Case Study: Dynamic content personalization for a travel agency website

Module 5: Measuring Success of Personalization

• KPIs for evaluating personalized campaigns
• Attribution models in digital marketing personalization
• Balancing privacy with personalization
• Continuous improvement through customer feedback
• Case Study: Measuring ROI of personalization in an online grocery store