Episode Highlights:

• Precap
• Context, Setting, Introduction, and First Rapid Fire Round
• How did customer segmentation differ across PayPal, Meta, and Uber platforms, and what core strategies did he find most effective in driving business outcomes?
• How does customer segmentation in a tech-driven environment compare to that in more traditional industries like food and beverages?
• Advice to a startup trying to implement customer segmentation from scratch?
• How can companies avoid common pitfalls when deploying AI in their marketing efforts?
• What’s the balance between maintaining customer privacy and delivering personalized marketing? Can AI help bridge that gap?
• As companies face the phasing out of third-party cookies, strategies recommended for effectively leveraging first-party data?
• Witty Answers to the second rapid-fire round of questions
• Advice to those aspiring to make BIG in their careers?
• About the origins of customer segmentation

About the guest:

Saurabh Kumar, is a seasoned Data Science leader currently at an American multinational food manufacturing company, with an impressive career spanning major tech companies like Meta, Uber, and PayPal. With a wealth of experience in AI-driven marketing, customer segmentation, and data privacy, Saurabh has led data science initiatives that have shaped how businesses interact with their customers through innovative and data-driven strategies. His insights into AI, big data, and the future of first-party data are sure to provide valuable takeaways for anyone interested in tech and marketing transformation.

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