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Freemium Economics
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Learn how to analyze and use the vast volumes of data your freemium product generates to maximize conversion, boost retention, and deliver revenue

Table of Contents

1. What is the Freemium Model? 2. Analytics as the Heart of Freemium 3. Quantitative Methods for Product Management 4. Freemium Metrics 5. Lifetime Customer Value 6. Monetization and Downstream Marketing 7. Virality 8. Optimized User Acquisition

About the Author

Eric Seufert is a quantitative marketer with a passion for blending real-world problems with large amounts of data, econometric frameworks, and analytical systems. His professional specialty lies in programmatic statistical methods and predictive forecasting in freemium environments.Eric received an undergraduate degree in Finance from the University of Texas at Austin and an MA in Economics from University College London, where he was an Erasmus Mundus scholar. Eric joined Skype immediately out of graduate school and subsequently held marketing and strategy roles at Digital Chocolate and Wooga, where he is now the Head of Marketing. Prior to graduate school, Eric worked at uShip, the Austin-based marketplace for shipping services.Originally from Texas, Eric currently lives in Berlin. In his spare time, Eric enjoys traveling and writing.

Reviews

"Seufert's book provides extensive guidance on analyzing the data generated by a freemium product to boost retention and drive revenue. By collecting and deploying analytics on large amounts of data generated by users of the product, through all stages of development and usage, the author explains how you can optimize your implementation of the freemium model." --Data and Technology Today, 2014

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