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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 churn

In business, the number of paying customers that fail to become repeat customers for a given product or service is known as customer churn, also known as customer attrition. Churn in this sense refers to a measurable rate of change that happens over a predetermined period of time.

Analyzing the causes of churn, engaging with customers, educating them, knowing who is at risk, identifying your most valuable customers, offering incentives, selecting the correct audience to target, and providing better service are a few strategies to reduce customer turnover.

It’s crucial to lower churn because it increases Customer Acquisition Cost (CAC) and lowers revenue. In actuality, maintaining and improving current client relationships is much less expensive than gaining new consumers. The more clients you lose, the more money you’ll need to spend on acquiring new ones in order to make up for the lost revenue. You can use the following formula to...

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