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Hands-On Data Science for Marketing
Hands-On Data Science for Marketing

Hands-On Data Science for Marketing: Improve your marketing strategies with machine learning using Python and R

By Yoon Hyup Hwang
$35.99 $9.99
Book Mar 2019 464 pages 1st Edition
eBook
$35.99 $9.99
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eBook
$35.99 $9.99
Print
$48.99
Subscription
$15.99 Monthly

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Hands-On Data Science for Marketing

Section 1: Introduction and Environment Setup

This section will introduce you to data science for marketing and setting up Python and R environments for the upcoming projects.

This section consists of the following chapter:

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Key benefits

  • Understand how data science drives successful marketing campaigns
  • Use machine learning for better customer engagement, retention, and product recommendations
  • Extract insights from your data to optimize marketing strategies and increase profitability

Description

Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.

What you will learn

Learn how to compute and visualize marketing KPIs in Python and R Master what drives successful marketing campaigns with data science Use machine learning to predict customer engagement and lifetime value Make product recommendations that customers are most likely to buy Learn how to use A/B testing for better marketing decision making Implement machine learning to understand different customer segments

Product Details

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Publication date : Mar 29, 2019
Length 464 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789346343
Category :
Concepts :

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Mar 29, 2019
Length 464 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789346343
Category :
Concepts :

Table of Contents

20 Chapters
Preface Chevron down icon Chevron up icon
1. Section 1: Introduction and Environment Setup Chevron down icon Chevron up icon
2. Data Science and Marketing Chevron down icon Chevron up icon
3. Section 2: Descriptive Versus Explanatory Analysis Chevron down icon Chevron up icon
4. Key Performance Indicators and Visualizations Chevron down icon Chevron up icon
5. Drivers behind Marketing Engagement Chevron down icon Chevron up icon
6. From Engagement to Conversion Chevron down icon Chevron up icon
7. Section 3: Product Visibility and Marketing Chevron down icon Chevron up icon
8. Product Analytics Chevron down icon Chevron up icon
9. Recommending the Right Products Chevron down icon Chevron up icon
10. Section 4: Personalized Marketing Chevron down icon Chevron up icon
11. Exploratory Analysis for Customer Behavior Chevron down icon Chevron up icon
12. Predicting the Likelihood of Marketing Engagement Chevron down icon Chevron up icon
13. Customer Lifetime Value Chevron down icon Chevron up icon
14. Data-Driven Customer Segmentation Chevron down icon Chevron up icon
15. Retaining Customers Chevron down icon Chevron up icon
16. Section 5: Better Decision Making Chevron down icon Chevron up icon
17. A/B Testing for Better Marketing Strategy Chevron down icon Chevron up icon
18. What's Next? Chevron down icon Chevron up icon
19. Other Books You May Enjoy Chevron down icon Chevron up icon

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