Alison machine learning predicts mobile ad campaign results

YellowHead has launched Alison, a machine learning technology that predicts how mobile advertising campaigns, known as paid user acquisition, will turn out.

The Israeli startup helps mobile app and game developers get better results from ads. It specializes in paid user acquisition campaigns, app store optimization, and search engine optimization. And now it has added Alison to use machine learning to predict a campaign’s performance in the hopes of uncovering more insights for brands and wasting less advertising money.

Unlock premium content and VIP community perks with GB M A X! Join now to enjoy our free and premium perks. 

Join now →

Sign in to your account.

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.