Jump to ratings and reviews
Rate this book

Machine Learning and Generative AI for Marketing: Take your data-driven marketing strategies to the next level using Python

Rate this book
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 FeaturesEnhance customer engagement and personalization through predictive analytics and advanced segmentation techniquesCombine Python programming with the latest advancements in generative AI to create marketing content and address real-world marketing challengesUnderstand cutting-edge AI concepts and their responsible use in marketingBook DescriptionIn 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 learnMaster key marketing KPIs with advanced computational techniquesUse explanatory data analysis to drive marketing decisionsLeverage ML models to predict customer behaviors, engagement levels, and customer lifetime valueEnhance customer segmentation with ML and develop highly personalized marketing campaignsDesign and execute effective A/B tests to optimize your marketing decisionsApply natural language processing (NLP) to analyze customer feedback and sentimentsIntegrate ethical AI practices to maintain privacy in data-driven marketing strategiesWho this book is forThis book targets a diverse group of

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 ContentsThe Evolution of Marketing in the AI Era & Preparing Your ToolkitDecoding Marketing Performance with KPIs&

724 pages, Kindle Edition

Published August 30, 2024

2 people are currently reading
4 people want to read

About the author

Yoon Hyup Hwang

4 books1 follower

Ratings & Reviews

What do you think?
Rate this book

Friends & Following

Create a free account to discover what your friends think of this book!

Community Reviews

5 stars
3 (100%)
4 stars
0 (0%)
3 stars
0 (0%)
2 stars
0 (0%)
1 star
0 (0%)
Displaying 1 of 1 review
Profile Image for Josua Naiborhu.
63 reviews1 follower
December 19, 2024
I really loved how the author walk me through all the utilization of AI/ ML in marketing domain. Including specific problems in marketing along with the dataset to analyze make this book not only a theoretical book but also hands-on approach that really help me understand the use cases of Real-world marketing challenges more clearly.
Displaying 1 of 1 review

Can't find what you're looking for?

Get help and learn more about the design.