Machine Learning and Generative AI for Marketing

Discover how to transform your data-driven marketing strategies with AI. This book provides actionable guidance for leveraging predictive analytics for customer engagement, personalized product recommendations and customer segmentation. It also serves as a guide for creating compelling marketing content using zero-shot learning and more advanced Generative AI techniques. Click here to enter text.Explore the future landscape of AI in marketing while navigating ethical considerations with this essential resource.

Key Features

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

Book Description

In the dynamic world of marketing, the integration of AI and machine learning is no longer just an advantageit's a necessity. Moreover, the rise of Generative AI (GenAI) helps 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 machine learning and GenAI models, this book is your comprehensive guide to understanding and applying AI to enhance marketing strategies. Through engaging content and hands-on examples, you'll learn 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 just successful but also cutting-edge.

What you will learn

• Master key marketing KPIs with advanced computational techniques
• Drive marketing decision-making with explanatory data analysis
• Leverage ML models to predict customer behaviors, engagement levels, and customer lifetime value to enhance the accuracy and effectiveness
• Enhance customer segmentation with Machine learning to dissect customer base and enable highly personalized marketing campaigns
• Design and execute effective A/B tests to guide your marketing decisions and optimize campaign performance

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 & Entrepreneurs who must understand the impact of AI on marketing Each reader is presumed to have a foundational proficiency in Python and a basic to intermediate grasp of machine learning principles and data science methodologies.

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