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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

ZSL for marketing copy

We will now discuss the practical application of ZSL through the example of an e-commerce brand that is launching new lines of eco-friendly kitchenware and fashion products. Traditionally, creating compelling product descriptions and promotional content could require significant research and creative effort from writers familiar with a brand’s tone and the intricacies of sustainable design. However, with ZSL, the brand can input a concise description of the product line, emphasizing keywords like “sustainable” and “eco-friendly activewear,” into a pre-trained model, immediately producing an output of brand-appropriate content that is ready for consideration across digital platforms. By automating these initial stages of content generation, the brand can now focus more on higher value efforts like strategy, engagement, and analyzing the effectiveness of its marketing efforts.

In general, to integrate ZSL effectively into...

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