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Freemium Economics
Leveraging Analytics and User Segmentation to Drive Revenue
Learn how to analyze and use the vast volumes of data your freemium product generates to maximize conversion, boost retention, and deliver revenue
Eric Benjamin Seufert (Author)
9780124166905, Elsevier Science
Paperback, published 8 March 2014
254 pages, 15 illustrations
23.4 x 19 x 1.7 cm, 0.54 kg
"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
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.
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
Subject Areas: Sales & marketing [KJS], Knowledge management [KJMV3], Economic systems & structures [KCS]
