With Playnomics, data science predicts which players will quit a game in the next month

Playnomics claims it knows which players are likely to quit a game in the next 30 days and what a game developer can do to stop that from happening.

Playnomics says it’s advancing the science of running a profitable free-to-play mobile or social game. And it is moving the ball today with its Churn Predictor program on its PlayRM analytics platform. Just as data science has become useful in many other markets, it is becoming critical in games, and Playnomics’ goal is to give every game developer key insights into data and what they mean for the long term in regard to player behavior, audience targeting, promotions, and a game’s life cycle.

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Dean Takahashi

Dean Takahashi is editorial director for GamesBeat. He has been a tech journalist since 1988, and he has covered games as a beat since 1996. He was lead writer for GamesBeat at VentureBeat from 2008 to April 2025. Prior to that, he wrote for the San Jose Mercury News, the Red Herring, the Wall Street Journal, the Los Angeles Times, and the Dallas Times-Herald. He is the author of two books, "Opening the Xbox" and "The Xbox 360 Uncloaked." He organizes the annual GamesBeat Next, GamesBeat Summit and GamesBeat Insider Series: Hollywood and Games conferences and is a frequent speaker at gaming and tech events. He lives in the San Francisco Bay Area.