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Freemium Economics presents a practical, instructive approach to successfully implementing the freemium model into your software products by building analytics into product design from the earliest stages of development. Your freemium product generates vast volumes of data, but using that data to maximize conversion, boost retention, and deliver revenue can be challenging if you don't fully understand the impact that small changes can have on revenue. In this book, author Eric Seufert provides clear guidelines for using data and analytics through all stages of development to optimize your implementation of the freemium model. Freemium Economics de-mystifies the freemium model through an exploration of its core, data-oriented tenets, so that you can apply it methodically rather than hoping that conversion and revenue will naturally follow product launch.
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Informazioni sull?autore
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.
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Freemium Economics: Leveraging Analytics and User Segmentation to Drive Revenue (The Savvy Manager's Guides)
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Freemium Economics: Leveraging Analytics and User Segmentation to Drive Revenue (The Savvy Manager's Guides)
Da: HPB-Red, Dallas, TX, U.S.A.
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Paperback. Condizione: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_382335980
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Freemium Economics : Leveraging Analytics and User Segmentation to Drive Revenue
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Freemium Economics (Paperback)
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Elsevier Science & Technology, San Francisco, 2014
ISBN 10: 0124166903
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Paperback. Condizione: new. Paperback. Freemium Economics presents a practical, instructive approach to successfully implementing the freemium model into your software products by building analytics into product design from the earliest stages of development.Your freemium product generates vast volumes of data, but using that data to maximize conversion, boost retention, and deliver revenue can be challenging if you don't fully understand the impact that small changes can have on revenue. In this book, author Eric Seufert provides clear guidelines for using data and analytics through all stages of development to optimize your implementation of the freemium model. Freemium Economics de-mystifies the freemium model through an exploration of its core, data-oriented tenets, so that you can apply it methodically rather than hoping that conversion and revenue will naturally follow product launch. Presents a practical, instructive approach to successfully implementing the freemium model into your software products by building analytics into product design from the earliest stages of development. This book provides guidelines for using data and analytics through all stages of development to optimize your implementation of the freemium model. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780124166905
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Freemium Economics
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo GB-9780124166905
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Freemium Economics : Leveraging Analytics and User Segmentation to Drive Revenue
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Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Codice articolo 20401652-5
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