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1.27 mi | ASHBURN 20147
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Game Analytics: Retention and Monetization in Free-to-Play Mobile Games
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“Truly one of the most useful things I have ever read about game development.” - Sergei Belkov, iLogos Game Studio
Mobile games are big business, and the landscape is more competitive than ever. With an in-depth focus on the core areas of user retention and predicting customer lifetime value, Game Analytics contains the hands-on SQL queries, R scripts, statistical theory, full-colour Tableau visualizations, and insider tips and tricks you need to succeed as a data analyst, product manager, or user acquisition manager in free-to-play games.
Game Analytics describes in detail how successful game studios make money, collect and query player data, define key performance indicators (KPIs), build dashboards and predictive models of retention and monetization, measure and predict return on ad spend (ROAS), and use statistics to analyze A/B tests designed to improve retention and monetization.
By the end of this book, the reader will understand:
- The business of mobile games: how they monetize, and what key performance indicators (KPIs) should be measured (and why);
- How SQL is used to query, clean, and prepare mobile game data for analysis;
- How to predict customer lifetime value using both retention and monetization curves;
- The relationship between classical statistics and A/B testing, and how A/B test are used to improve mobile games;
- ROAS and D7 ROAS targets; and,
- Why spending money on user acquisition also results in more organic installs.
- Conduct an A/B test and evaluate the results for statistical significance using SQL or R;
- Use regression in Tableau to fit retention and spending curves to historical data, and use these curves to predict various KPIs for new players;
- Model and predict churn with a Markov chain;
- Build KPI dashboards that are relevant to the mobile games industry;
- Build diagnostic dashboards to reveal problems with the tutorial;
- Use the Big Mac Index to optimize pricing in countries around the world; and,
- Predict LTV and ROAS from early signals.
- ISBN-100986941824
- ISBN-13978-0986941825
- Publication dateAugust 19, 2023
- LanguageEnglish
- Dimensions7.5 x 0.68 x 9.25 inches
- Print length301 pages
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Product details
- Publisher : Thought Pilots (August 19, 2023)
- Language : English
- Paperback : 301 pages
- ISBN-10 : 0986941824
- ISBN-13 : 978-0986941825
- Item Weight : 1.45 pounds
- Dimensions : 7.5 x 0.68 x 9.25 inches
- Best Sellers Rank: #891,560 in Books (See Top 100 in Books)
- #192 in Computer & Video Game Design
- #387 in Data Mining (Books)
- #559 in Game Programming
- Customer Reviews:
About the author
Russell Ovans, Ph.D., is a Director at East Side Games Group, developers of hit mobile games such as "The Office: Somehow We Manage" and "Trailer Park Boys: Greasy Money." He is a computer scientist and has worked as both a software engineering professor and programmer since Rick Astley ruled the dance floor. In 2007, he founded Backstage Technologies, a social game studio that pioneered the monetization of free-to-play games on Facebook. Best known for its "Family Feud" app, Backstage was acquired by RealNetworks in 2010, after which Russ returned to teaching college, worked as an executive-in-residence at a tech incubator, and opened a brewery. He returned to the games industry in 2018 to lead analytics, growth, and ad monetization at East Side Games, a tenure during which the company quadrupled revenue and went public.
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Update Nov 26th: high quality insights and advice. Already applying in my own business.
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Reviewed in the United Kingdom on September 15, 2023