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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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Toc

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

CLV

In marketing, the CLV is one of the key metrics to have and monitor. The CLV measures customers' total worth to the business over the course of their lifetime relationship with the company. This metric is especially important to keep track of for acquiring new customers. It is generally more expensive to acquire new customers than to keep existing customers, so knowing the lifetime value and the costs associated with acquiring new customers is essential in order to build marketing strategies with a positive ROI. For example, if the average CLV of your customer is $100 and it only costs $10 to acquire a new customer, then your business will be generating more revenue as you acquire new customers.

However, if it costs $150 to acquire a new customer and the average CLV of your customer is still $100, then you will be losing money for each acquisition. Simply put, if your...

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