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

by: Yoon Hyup Hwang (Author),Nicholas C. Burtch(Author)

Publisher: Packt Publishing

Publication Date: 2024/8/30

Language: English

Print Length: 482 pages

ISBN-10: 1835889409

ISBN-13: 9781835889404

Book Description

Start transforming your data-driven marketing strategies and increasing customer engagement. Lea 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 formatKey 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 leaing (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 haessing 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 lea how to haess 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 standardsBy 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 leaMaster 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 professionals:Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challengesMachine leaing engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposesMarketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketingReader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologiesTable of ContentsThe Evolution of Marketing in the AI Era & Preparing Your ToolkitDecoding Marketing Performance with KPIsUnveiling the Dynamics of Marketing SuccessHaessing Seasonality and Trends for Strategic PlanningEnhancing Customer Insight with Sentiment Analysis(N.B. Please use the Read Sample option to see further chapters)

About the Author

Start transforming your data-driven marketing strategies and increasing customer engagement. Lea 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 formatKey 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 leaing (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 haessing 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 lea how to haess 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 standardsBy 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 leaMaster 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 professionals:Data scientists and analysts in the marketing domain looking to apply advanced AI ML techniques to solve real-world marketing challengesMachine leaing engineers and software developers aiming to build or integrate AI-driven tools and applications for marketing purposesMarketing professionals, business leaders, and entrepreneurs who must understand the impact of AI on marketingReader are presumed to have a foundational proficiency in Python and a basic to intermediate grasp of ML principles and data science methodologiesTable of ContentsThe Evolution of Marketing in the AI Era & Preparing Your ToolkitDecoding Marketing Performance with KPIsUnveiling the Dynamics of Marketing SuccessHaessing Seasonality and Trends for Strategic PlanningEnhancing Customer Insight with Sentiment Analysis(N.B. Please use the Read Sample option to see further chapters)