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Machine Learning and Generative AI for Marketing Cover

Machine Learning and Generative AI for Marketing

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

Publisher:Packt Publishing Limited
By:  and    
Paid access
|Mar 2025
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Description

Start transforming your data-driven marketing strategies and increasing customer engagement. Learn how to create compelling marketing content using advanced gen AI techniques and stay in touch with the future AI ML landscape.
Purchase of the print or Kindle book includes a free eBook in PDF format

Key Features

  • Enhance customer engagement and personalization through predictive analytics and advanced segmentation techniques
  • Combine Python programming with the latest advancements in generative AI to create marketing content and address real-world marketing challenges
  • Understand cutting-edge AI concepts and their responsible use in marketing

Book Description

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.

What you will learn

  • Master key marketing KPIs with advanced computational techniques
  • Use explanatory data analysis to drive marketing decisions
  • Leverage ML models to predict customer behaviors, engagement levels, and customer lifetime value
  • Enhance customer segmentation with ML and develop highly personalized marketing campaigns
  • Design and execute effective A/B tests to optimize your marketing decisions
  • Apply natural language processing (NLP) to analyze customer feedback and sentiments
  • Integrate ethical AI practices to maintain privacy in data-driven marketing strategies

Who this book is for

This book targets a diverse group of professionals:
Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challenges
Machine learning engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposes
Marketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketing
Reader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologies

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
https://github.com/PacktPublishing/Machine-Learning-and-Generative-AI-for-Marketing
PDF ISBN: 978-1-83588-941-1
Publisher: Packt Publishing Limited
Copyright owner: © 2024 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 482
Related subjects:
Computer sciences,
Computer sciences, other
BISAC subjects:
COM051390,
BUS043000,
BUS090000
Thema subjects:
UM,
KJS,
KJE

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