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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

Summary

In this chapter, we discussed the concepts and importance of product analytics. We briefly discussed how product analytics starts from tracking events and customer actions, such as website or app visits, page views, and purchases. Then, we discussed some of the common goals of product analytics and how it should be used to generate actionable insights and reports. With these discussions on product analytics, we explored how we can utilize product analytics for customer and product retention in our programming exercises, using e-commerce business data. First, we analyzed the time series trends in the revenue and the numbers of purchase orders. Then, we drilled down to identify the patterns of monthly repeat customers. We have seen from the data that even though monthly repeat customers represent a relatively small portion of the overall customer base, they drive roughly...

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