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Machine Learning and Generative AI for Marketing

You're reading from   Machine Learning and Generative AI for Marketing Take your data-driven marketing strategies to the next level using Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835889404
Length 482 pages
Edition 1st Edition
Languages
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Authors (2):
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Nicholas C. Burtch Nicholas C. Burtch
Author Profile Icon Nicholas C. Burtch
Nicholas C. Burtch
Yoon Hyup Hwang Yoon Hyup Hwang
Author Profile Icon Yoon Hyup Hwang
Yoon Hyup Hwang
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Table of Contents (16) Chapters Close

Preface 1. The Evolution of Marketing in the AI Era and Preparing Your Toolkit FREE CHAPTER 2. Decoding Marketing Performance with KPIs 3. Unveiling the Dynamics of Marketing Success 4. Harnessing Seasonality and Trends for Strategic Planning 5. Enhancing Customer Insight with Sentiment Analysis 6. Leveraging Predictive Analytics and A/B Testing for Customer Engagement 7. Personalized Product Recommendations 8. Segmenting Customers with Machine Learning 9. Creating Compelling Content with Zero-Shot Learning 10. Enhancing Brand Presence with Few-Shot Learning and Transfer Learning 11. Micro-Targeting with Retrieval-Augmented Generation 12. The Future Landscape of AI and ML in Marketing 13. Ethics and Governance in AI-Enabled Marketing 14. Other Books You May Enjoy
15. Index

Preface

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. AI/ML integration in marketing strategies represents a paradigm shift towards more data-driven, efficient, and impactful marketing practices. With the emergence of data science, businesses can now gain an in-depth understanding of the mechanics of their marketing successes and failures, understanding customer behaviors and interactions with unprecedented clarity. Moreover, the rise of generative AI (GenAI) is creating new opportunities for the facile creation of highly personalized, engaging content that resonates with the target audience on a whole new level. This book provides a comprehensive toolkit for harnessing the power of ML and 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 more sophisticated ML and GenAI models, this book is your comprehensive guide to understanding and applying AI to enhance marketing strategies. We will use hands-on examples to show you how you can harness the capabilities of AI to unlock deep insights into customer behaviors, craft personalized marketing messages, and drive significant business growth. We’ll also explore the ethical implications of AI, which will help you ensure that your marketing strategies are not only effective but also responsible and compliant with current standards.

By the conclusion of this book, you will have gained a robust understanding of various data science, ML, and GenAI techniques tailored specifically for marketing. Armed with this knowledge, you will be equipped to design, launch, and manage marketing campaigns that are not just successful but also cutting-edge, ensuring your business remains at the forefront of the digital marketing revolution.

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