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Growth Product Manager's Handbook

You're reading from   Growth Product Manager's Handbook Winning strategies and frameworks for driving user acquisition, retention, and optimizing metrics

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781837635955
Length 292 pages
Edition 1st Edition
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Author (1):
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Eve Chen Eve Chen
Author Profile Icon Eve Chen
Eve Chen
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1: A User-Centric Management Strategy
2. Chapter 1: Introduction to Growth Product Management FREE CHAPTER 3. Chapter 2: Understanding Product-Led Growth Management Models 4. Chapter 3: Understanding Your Customers 5. Part 2: Demonstrating Your Product’s Value
6. Chapter 4: Unlocking Success in Product Strategy and Planning 7. Chapter 5: Setting the Stage for a Powerful Product-Led Enterprise 8. Chapter 6: Defining and Communicating Your Product Value Proposition 9. Part 3: A Successful Product-Focused Strategy
10. Chapter 7: The Science of Growth Experimentation and Testing for Product-Led Success 11. Chapter 8: Define, Monitor, and Act on Your Performance Metrics 12. Chapter 9: Guiding Your Clients to the Pot of Gold 13. Part 4: Winning the Battle and the War
14. Chapter 10: Maintaining High Customer Retention Rates 15. Chapter 11: Unlocking Wallet Share through Expansion Revenue 16. Chapter 12: The Future of a Growth Product Manager 17. Index 18. Other Books You May Enjoy

Summary

In this chapter, I have provided a comprehensive guide for leveraging experimentation to drive product-led growth. It emphasized how testing and validating ideas with real user data enables continuously improving products and experiences in a sustainable way.

We first covered the immense value proposition of experimentation, including reduced risk, accelerated learning, improved ROI, increased agility, fostered innovation, data-driven alignment, and optimized user experiences. This establishes an imperative for rigorously testing assumptions.

Key principles for effective growth testing were then explored in detail. This included formulating clear, measurable hypotheses connected to business goals. Choosing appropriate success metrics aligned with objectives was highlighted while avoiding analysis paralysis through too many vanity metrics.

Proper controlled experiment design was also covered extensively, including A/B testing techniques, randomness, and blinding to...

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