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.

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Spis treści

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

• 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