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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

Customer segmentation with purchase behaviors

Segmenting customers based on new versus repeat customers is one of the basic and critical analyses to conduct. However, oftentimes, we would like to segment customers based on multiple factors, which can be demographic factors, such as age, geolocation, and occupation, or purchase history, such as how much they spent in the past year, how many items they have purchased, and how many returns they have requested. You can also segment based on customer web activities, such as number of logins in the past X number of days, how long they stay on your webpage, and what pages they look at.

There are still challenges to segmenting customers based on these factors, as there are an infinite number of ways and values you can segment the customers by. For example, if you are segmenting your customers by age, some of the questions that may arise are “how many buckets should I create?" or “what age cutoff thresholds should I...

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