Machine Learning and Generative AI for Marketing
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Machine Learning and Generative AI for Marketing

Take your data-driven marketing strategies to the next level using Python

About the 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.

About the Author

Packt Publishing Ltd
Packt Publishing Ltd

Packt Publishing are an established global technical learning content provider, founded in Birmingham, UK with over twenty years’ experience in delivering premium rich content from ground-breaking authors on a wide range of emerging and popular technologies. Our titles have global relevance our multimedia portfolio includes over 9,000 books, e-books, audiobooks and video courses. www.packtpub.com

Table of Contents

  1. The Evolution of Marketing in the AI Era & Preparing Your Toolkit
  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/ML in Marketing
  13. Ethics and Governance in AI-Enabled Marketing

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