Mastering Personalized Product Recommendations for E-commerce Growth

This course is designed to help e-commerce companies unlock the full potential of personalized product recommendations. Participants will explore how to leverage AI and data-driven insights to boost customer engagement and sales, covering key areas such as browsing history-based recommendations, purchase history, abandoned cart recovery, and real-time personalization. The course provides strategic direction on utilizing tools like Dynamic Yield and AWS Personalize, offering guidance on building the right team, integrating robust data systems, and optimizing through machine learning and predictive analytics within their own company tools and infrastructure. Learning Objectives: * Understand the importance and impact of personalized product recommendations on user experience and revenue. * Learn how to collect and integrate user data from browsing history, purchase behavior, and cart abandonment. * Explore recommendation engines like Dynamic Yield and AWS Personalize for real-time recommendations. * Optimize recommendations with A/B testing, segmentation, and real-time data. * Learn how to track and measure the effectiveness of your personalized recommendation strategy. Certification Exam: Upon completing all modules, participants will be required to pass an online certification exam. The exam will include: * Multiple-choice questions on segmentation theory and tools * A practical assignment: participants will be given a sample dataset and must segment the data, create visualizations, and plan a campaign in Mailchimp. Passing Criteria: * Score at least 80% on the multiple-choice questions * Successfully complete the practical assignment by creating functional segments and campaign plans Certification Benefits: * Official Certified Customer Segmentation Specialist digital badge and certificate * Eligibility to use segmentation techniques in real-world marketing roles * Enhanced job prospects and career advancement opportunities