Cracking the Code: AI, Data Privacy, and Customer Segmentation | Saurabh Kumar | #TGV594

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.

Connect with the guest Saurabh Kumar on LinkedIn:

https://www.linkedin.com/in/saurabhkumarece/

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