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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.

Chethan Ramachandran, the chief executive of Playnomics, said in an interview that 70 percent of players in free-to-play titles, where people can play for free and pay real money for virtual goods, will quit within the first 30 days. Playnomics can now predict how anonymized players will behave, who is likely to spend money, who should developers should target with promotions, and who the developer has to pay attention to in order to prevent the dreaded churn, or decision to stop playing a game

The San Francisco company can do this because it sifts through data from its customers on more than 200 million player profiles in many of the leading online and mobile games. Playnomics is processing billions of in-game events per month. Founded in 2009, Playnomics (formerly Turiya) won our 2010 Who’s Got Game startup competition at our GamesBeat conference. (See here for this year’s contest). It has 30 employees and has raised $8.2 million to date from FirstMark Capital, Vanedge Capital, XSeed Capital, MetamorphicVentures, Accelerator Ventures, and TriplePoint Capital.  Read more (on


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Blog Publisher / Head of Data Science Search

Founder & Head of Data Science Search at Starbridge Partners, LLC.