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Hands-On Data Science for Marketing

You're reading from   Hands-On Data Science for Marketing Improve your marketing strategies with machine learning using Python and R

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789346343
Length 464 pages
Edition 1st Edition
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Author (1):
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Yoon Hyup Hwang Yoon Hyup Hwang
Author Profile Icon Yoon Hyup Hwang
Yoon Hyup Hwang
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Introduction and Environment Setup FREE CHAPTER
2. Data Science and Marketing 3. Section 2: Descriptive Versus Explanatory Analysis
4. Key Performance Indicators and Visualizations 5. Drivers behind Marketing Engagement 6. From Engagement to Conversion 7. Section 3: Product Visibility and Marketing
8. Product Analytics 9. Recommending the Right Products 10. Section 4: Personalized Marketing
11. Exploratory Analysis for Customer Behavior 12. Predicting the Likelihood of Marketing Engagement 13. Customer Lifetime Value 14. Data-Driven Customer Segmentation 15. Retaining Customers 16. Section 5: Better Decision Making
17. A/B Testing for Better Marketing Strategy 18. What's Next? 19. Other Books You May Enjoy

Predicting the Likelihood of Marketing Engagement

In this chapter, we are going to expand the knowledge we gained from the previous chapter and the customer analytics exercise we conducted in Chapter 7, Exploratory Analysis for Customer Behavior. For successful and more intelligent marketing strategies, we cannot stop at analyzing customer data. With the advanced technology in data science and machine learning, we can now make intelligent guesses and estimates on customers' future behaviors, such as what types of customers are more likely to engage with marketing efforts, the amount of purchases that customers are likely to make, or which customers are likely to churn. These predictions or intelligent guesses that are built based on historical customer data can help you improve your marketing performance and further tailor your marketing strategies for different target audiences...

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