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Machine Learning and Generative AI for Marketing

Machine Learning and Generative AI for Marketing

By : Yoon Hyup Hwang, Nicholas C. Burtch
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Machine Learning and Generative AI for Marketing

Machine Learning and Generative AI for Marketing

By: Yoon Hyup Hwang, Nicholas C. Burtch

Overview of this book

In the dynamic world of marketing, the integration of artificial intelligence (AI) and machine learning (ML) is no longer just an advantage—it's a necessity. Moreover, the rise of generative AI (GenAI) helps with the creation of highly personalized, engaging content that resonates with the target audience. This book provides a comprehensive toolkit for harnessing the power of GenAI to craft marketing strategies that not only predict customer behaviors but also captivate and convert, leading to improved cost per acquisition, boosted conversion rates, and increased net sales. Starting with the basics of Python for data analysis and progressing to sophisticated ML and GenAI models, this book is your comprehensive guide to understanding and applying AI to enhance marketing strategies. Through engaging content & hands-on examples, you'll learn how to harness the capabilities of AI to unlock deep insights into customer behaviors, craft personalized marketing messages, and drive significant business growth. Additionally, you'll explore the ethical implications of AI, ensuring that your marketing strategies are not only effective but also responsible and compliant with current standards By the conclusion of this book, you'll be equipped to design, launch, and manage marketing campaigns that are not only successful but also cutting-edge.
Table of Contents (16 chapters)
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14
Other Books You May Enjoy
15
Index

Segmenting Customers with Machine Learning

With the rising availability of data on customer characteristics and behaviors, it has become more accessible to approach customers with more informed insights. From analyzing the drivers behind customer engagements that we discussed in Chapter 3 to understanding which specific products that individual customers may like, which we touched on in Chapter 7, the assumptions behind these approaches were based on the fact that there are certain groups of similar customers that behave in similar fashions.

Targeted marketing approaches are proven to work significantly better than mass marketing, due to which customer segmentation has been a frequently discussed topic in this domain. Also, with the upcoming cookieless world, first-party data is expected to play an even more critical role. Consequently, targeted strategies based on customer segments, such as geographic segments, demographic segments, or interest topic segments that will still...

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