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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
Languages
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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

Customer Lifetime Value

In this chapter, we are going to focus on the second use case of predictive analytics in marketing, the customer lifetime value that we discussed in the previous chapter. In marketing, it is always a challenge to budget for marketing campaigns. We do not want to spend too much and result in a negative ROI. However, we also do not want to spend too little and have no visible impact or outcome. When determining the budget for a marketing strategy, it is essential to know what the expected return will be from running a given marketing campaign. Understanding what the customer lifetime value (CLV) is for individual customers can help marketers justify their marketing budget, as well as target potential high-value customers. In this chapter, we are going to discuss in more detail the concept and the advantage of calculating the CLV, as well as how to build a...

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