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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

Drivers behind Marketing Engagement

When you run marketing campaigns, one of the important measures that you will want to look at and analyze is customer engagement with your marketing efforts. For example, in email marketing, customer engagement can be measured by how many of your marketing emails were opened or ignored by your customers. Customer engagement can also be measured by the amount of website visits from individual customers. Successful marketing campaigns will draw a lot of engagement from your customers, while ineffective marketing campaigns will not only drive a lower amount of engagement from your customers, but will also negatively impact your business. Customers might mark emails from your business as spam or unsubscribe from your mailing list.

In order to understand what affects customer engagement, in this chapter, we will discuss how we can use explanatory...

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