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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

Decoding Marketing Performance with KPIs

Every data-driven or AI/ML-driven marketing strategy starts with a set of optimization and enhancement goals that have key performance metrics tied to them. These key performance metrics or measures are often termed the key performance indicators (KPIs) that help you track the performance of your marketing campaigns and define the success criteria of your marketing efforts. Some of the frequently used KPIs in digital and data-driven marketing that we will define and explore in this chapter are conversion rate, cost per acquisition (CPA), customer lifetime value (CLV), and return on investment (ROI).

In this chapter, we will discuss a frequently used set of marketing KPIs, what they tell you about your marketing campaigns, and how they can be used to further improve and optimize your marketing strategies and business outcomes. We will use an insurance product marketing dataset as an example to highlight how Python and its data analysis and...

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