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Keep shoppingMarketing Analytics: Customer Lifetime Value (CLV)
New
20 students
Marketing Analytics: Customer Lifetime Value (CLV)
Master Customer Lifetime Value (CLV), Customer Analytics
Created byDr J Dhanalakshmi
Last updated 7/2026
English
What you'll learn
- Understand Customer Lifetime Value (CLV) and its importance in measuring long-term customer profitability and business growth.
- Analyze the key components, factors, and metrics that influence Customer Lifetime Value and customer retention.
- Apply CLV concepts to customer segmentation, personalized marketing, loyalty programs, and business decision-making.
- Evaluate real-world CLV applications through customer journey analysis, business case studies, and best practices to improve customer value.
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Course content
9 sections • 9 lectures • 1h 18m total length
Requirements
- No prior knowledge of Customer Lifetime Value is required. A basic understanding of marketing concepts and an interest in marketing analytics will be helpful.
Description
This course contains the use of artificial intelligence.
Master Customer Lifetime Value (CLV) and learn how organizations use customer analytics to improve retention, profitability, and strategic decision-making. This course provides a practical introduction to one of the most important concepts in marketing analytics, helping learners understand how businesses maximize long-term customer value.
You will begin with the fundamentals of CLV, including its importance, calculation methods, and key formulas. The course then explores advanced topics such as predictive CLV, discounted CLV, customer segmentation, customer acquisition and retention strategies, marketing investment decisions, pricing strategies, and AI- and machine learning-based applications. Through step-by-step numerical examples, real-world case studies, and business scenarios, you will gain the skills needed to apply CLV in practical situations.
Industry examples from Amazon, Netflix, Starbucks, Apple, Spotify, banking, and retail demonstrate how leading organizations use CLV to strengthen customer relationships, personalize marketing, forecast revenue, and drive sustainable business growth. The course also includes revision sessions, interview preparation, quizzes, and best practices to reinforce learning.
By the end of this course, you will be able to calculate, interpret, and apply Customer Lifetime Value confidently to support marketing analytics, customer relationship management, business intelligence, and data-driven strategic decisions. This course is ideal for students, marketing professionals, business analysts, researchers, and anyone interested in customer analytics.
Who this course is for:
- This course is designed for undergraduate and postgraduate students, marketing professionals, business analysts, entrepreneurs, MBA students, researchers, and anyone interested in understanding Customer Lifetime Value, customer retention strategies, and data-driven marketing analytics for business growth. These descriptions are professional, SEO-friendly, and aligned with the content of your CLV module, making them suitable for Udemy.