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 (gen AI ) 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 gen AI 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 gen AI 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, a nd manage marketing campaigns that are not just 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

- The Evolution of Marketing in the AI Era & Preparing Your Toolkit

- Decoding Marketing Performance with KPIs

- Unveiling the Dynamics of Marketing Success

- Harnessing Seasonality and Trends for Strategic Planning

- Enhancing Customer Insight with Sentiment Analysis

- Leveraging Predictive Analytics and A/B Testing for Customer Engagement

(N.B. Please use the Read Sample option to see further chapters)

Optimize your marketing strategies through analytics and machine learning

Key Features:

• Understand how data science drives successful marketing campaigns
• Use machine learning for better customer engagement, retention, and product recommendations
• Extract insights from your data to optimize marketing strategies and increase profitability

Book Description:

Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies.

This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R.

By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.

What you will learn:

• Learn how to compute and visualize marketing KPIs in Python and R
• Master what drives successful marketing campaigns with data science
• Use machine learning to predict customer engagement and lifetime value
• Make product recommendations that customers are most likely to buy
• Learn how to use A/B testing for better marketing decision making
• Implement machine learning to understand different customer segments

Who this book is for:

If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.