What you will learn with Freemium Economics
Analytics is at the heart of the freemium model. Freemium Economics introduces various strategies for using analytics to drive product decisions.
Iterative Product Development
Freemium products generally exist as services; Freemium Economics explains how product iterations can be undertaken to improve the user experience and maximize revenue.
Freemium Economics explains the mechanics of performance marketing across various ad channels and platforms.
Freemium Economics introduces quantitative methods to help analysts and product managers evaluate the performance of their products.
Virality is a crucial component of keeping marketing costs low. Freemium Economics proposes methods for engineering and measuring virality.
Lifetime Customer Value
Freemium Economics devotes an entire chapter to the concept of Lifetime Customer Value (LTV): understanding it, measuring it, and using it to grow the product.
Eric Seufert's Freemium Economics covers every aspect of freemium software design and development, from the core concepts of "freemium economics" to marketing. This book is a must read for anyone developing freemium products.
Eric Seufert provides comprehensive, analytical insight into the what, why, and how of building a successful freemium business. Whether you're building a free-to-play game or freeware SaaS product, Freemium Economics is an excellent resource to increase chances of success.
Eric Seufert covers freemium design from basics to advanced concepts with clarity and depth. Freemium Economics is the number one book to read for both new and established players in the growing mobile and social ecosystems.
Below is the chapter list from Freemium Economics.
Click on the name of any chapter to see a list of sub-chapters contained within.
- 1.1: Commerce at a price point of $0
- 1.2: Components of the freemium business model
- 1.3: Freemium economics
- 1.4: Freemium product case studies
- 2.1: Insight as the foundation of freemium product development
- 2.2: Analytics
- 2.3: Designing an analytics platform for freemium product development
- 2.4: Data-driven design
- 3.1: Data analysis
- 3.2: Descriptive statistics
- 3.3: A/B testing
- 3.4: Regression analysis
- 3.5: User segmentation
- 4.1: Instrumenting freemium products
- 4.2: Minimum viable metrics
- 4.3: Retention
- 4.4: Monetization
- 4.5: Engagement
- 4.6: Virality
- 4.7: Using metrics in the freemium model
- 5.1: Lifetime customer value
- 5.2: Lifetime customer value and the freemium model
- 5.3: The spreadsheet approach
- 5.4: The analytics method
- 5.5: Making decisions with LTV
- 6.1: The continuous monetization curve
- 6.2: Choice, preference, and spending
- 6.3: Data products in the freemium model
- 6.4: Downstream marketing
- 7.1: The viral product
- 7.2: What is virality?
- 7.3: Quantified virality
- 7.4: Engineering virality
- 8.1: Facilitating a large user base
- 8.2: Strategic growth
- 8.3: Mobile user acquisition
- 8.4: Alternative user acquisition