Machine Learning in Marketing: A Beginner's Guide

Unlocking the Future: Machine Learning Transformations in Marketing   In this episode, digital personas Bailey and Kai explore the revolution of machine learning in modern marketing strategies.   Covering fundamental algorithms like supervised, unsupervised, and reinforcement learning, they highlight practical applications from companies such as Sephora and Adobe, showcasing improved customer engagement and revenue.   Topics include hyper-personalization, predictive customer service, and the importance of collaboration between marketing and data teams.    The episode concludes with actionable steps on data preparation, team building, ethical considerations, and a three-month implementation roadmap. It offers a comprehensive guide for marketers aiming to integrate machine learning into their strategies.   00:00 Machine Learning in Marketing: A Beginner’s Guide 01:20 Machine Learning vs AI vs Generative AI 02:14 Business Intelligence vs Machine Learning 02:56 Case Studies in Machine Learning 05:34 Getting Started with Machine Learning 09:16 Algorithms That Make Machine Learning Work 14:21 Will Machine Learning Replace Marketers? 15:51 The Future of Machine Learning and Marketing 18:44 Misconceptions About Machine Learning