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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

Understanding Customer Preferences with Conjoint Analysis

Conjoint analysis is a well-known approach to product and pricing research that identifies customer preferences and makes use of that knowledge to choose product features, evaluate price sensitivity, anticipate market shares, and foretell consumer acceptance of new goods or services.

Conjoint analysis is often utilized for all sorts of items, including consumer goods, electrical goods, life insurance policies, retirement communities, luxury goods, and air travel, across several sectors. It may be used in a variety of situations that revolve around learning what kind of product customers are most likely to purchase and which features consumers value the most (and least) in a product. As a result, it is widely used in product management, marketing, and advertising.

Conjoint analysis is beneficial for businesses of all sizes, even small local eateries and grocery stores.

In this chapter, you will learn how to understand...

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