Freemium Economics: Leveraging Analytics and User Segmentation to Drive Revenue
Autor Eric Benjamin Seuferten Limba Engleză Paperback – 8 mar 2014
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.
- Learn how to apply data science and big data principles in freemium product design and development to maximize conversion, boost retention, and deliver revenue
- Gain a broad introduction to the conceptual economic pillars of freemium and a complete understanding of the unique approaches needed to acquire users and convert them from free to paying customers
- Get practical tips and analytical guidance to successfully implement the freemium model
- Understand the metrics and infrastructure required to measure the success of a freemium product and improve it post-launch
- Includes a detailed explanation of the lifetime customer value (LCV) calculation and step-by-step instructions for implementing key performance indicators in a simple, universally-accessible tool like Excel
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Specificații
ISBN-13: 9780124166905
ISBN-10: 0124166903
Pagini: 254
Ilustrații: 15 illustrations
Dimensiuni: 191 x 235 x 15 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0124166903
Pagini: 254
Ilustrații: 15 illustrations
Dimensiuni: 191 x 235 x 15 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
Public țintă
Analysts, user acquisition and product managers, mid- and senior-level managers in Freemium businesses.Cuprins
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
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
Recenzii
"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