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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

Data Science and Marketing

Welcome to the first chapter of Hands-On Data Science for Marketing! As you may be familiar already, the importance and application of data science in the marketing industry have been rising significantly over the past few years. Yet, marketing data science is a relatively new field and the amount of resources available for education and references lags behind the momentum. However, the amount of data gathered and available to the process has been growing exponentially each year, which opens up even more opportunities to learn and bring insight from the data.

With the growing amount of data and applications of data science in marketing, we can easily find examples of the usage of data science to marketing efforts. Companies are starting to use data science to better understand customer behaviors and identify different customer segments based on their...

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