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Machine Learning and Generative AI for Marketing

You're reading from   Machine Learning and Generative AI for Marketing Take your data-driven marketing strategies to the next level using Python

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835889404
Length 482 pages
Edition 1st Edition
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Authors (2):
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Nicholas C. Burtch Nicholas C. Burtch
Author Profile Icon Nicholas C. Burtch
Nicholas C. Burtch
Yoon Hyup Hwang Yoon Hyup Hwang
Author Profile Icon Yoon Hyup Hwang
Yoon Hyup Hwang
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Table of Contents (16) Chapters Close

Preface 1. The Evolution of Marketing in the AI Era and Preparing Your Toolkit FREE CHAPTER 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 and ML in Marketing 13. Ethics and Governance in AI-Enabled Marketing 14. Other Books You May Enjoy
15. Index

Leveraging Predictive Analytics and A/B Testing for Customer Engagement

There are various ways that we can benefit from data-driven and AI/ML-driven marketing techniques. To name a few, you can optimize your marketing strategy based on the key drivers behind the success and failures of your previous marketing campaigns, as we discussed in Chapters 2 and 3. You can also optimize your marketing strategy based on the trend and seasonality within your business or based on the customer sentiments around your products and business, as we have discussed in Chapters 4 and 5. Targeted product recommendation (Chapter 7) and optimizing the marketing content with Generative AI (Chapters 9 and 10) are some other key benefits of applying AI/ML in marketing.

Among those mentioned, we are going to experiment with predictive analytics in this chapter and how you can utilize these predictive models in your next marketing campaign. By intelligently predicting the expected behaviors of customers...

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