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The Art of Data-Driven Business

You're reading from   The Art of Data-Driven Business Transform your organization into a data-driven one with the power of Python machine learning

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804611036
Length 314 pages
Edition 1st Edition
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Author (1):
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Alan Bernardo Palacio Alan Bernardo Palacio
Author Profile Icon Alan Bernardo Palacio
Alan Bernardo Palacio
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Data Analytics and Forecasting with Python
2. Chapter 1: Analyzing and Visualizing Data with Python FREE CHAPTER 3. Chapter 2: Using Machine Learning in Business Operations 4. Part 2: Market and Customer Insights
5. Chapter 3: Finding Business Opportunities with Market Insights 6. Chapter 4: Understanding Customer Preferences with Conjoint Analysis 7. Chapter 5: Selecting the Optimal Price with Price Demand Elasticity 8. Chapter 6: Product Recommendation 9. Part 3: Operation and Pricing Optimization
10. Chapter 7: Predicting Customer Churn 11. Chapter 8: Grouping Users with Customer Segmentation 12. Chapter 9: Using Historical Markdown Data to Predict Sales 13. Chapter 10: Web Analytics Optimization 14. Chapter 11: Creating a Data-Driven Culture in Business 15. Index 16. Other Books You May Enjoy

Web Analytics Optimization

A data-driven marketing optimization is an analytical approach to marketing that values decisions that can be supported with trustworthy and verifiable data. It places high importance on choices that can be substantiated by empirical evidence, whether traffic sources, page views, or time spent per session. The effectiveness of data collection, processing, and interpretation to maximize marketing results are key components of the data-based approach’s success.

In this chapter, we will be learning about the following:

  • Understanding what web analytics is
  • How web analytics data is used to improve business operations
  • Calculating the user’s customer lifetime value (CLV) based on web analytics data
  • Predicting the user’s CLV based on this historical data

Let’s determine what the requirements will be for understanding these steps and following the chapter.

This chapter covers the following topics:

    ...
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