Kohort has announced the completion of a $7 million Series A funding round led by The Raine Group, as the company looks to expand its suite of user acquisition (UA) agents for mobile game studios.
The latest investment builds on Raine’s earlier participation in Kohort’s 2025 seed round and follows an ongoing commercial partnership between the two companies over the past several months.
Based in London, Kohort focuses on helping mobile game studios improve user acquisition performance through predictive modeling and automation tools. The company says its platform is designed to address challenges around campaign optimization, long-term player value prediction, and reducing inefficient ad spend while scaling revenue.
The funding will primarily support the development of Kohort’s growing UA agent suite. This includes the expansion of its flagship campaign optimization product, Ktrl, which generates network-specific bidding strategies and targets across ROAS, CPI, and CPA campaign types. The platform directly integrates with ad networks to optimize campaign performance.
Describing user acquisition as one of the most complex operational areas for mobile gaming studios, Dan Marcus, CEO of Kohort, shared: “We are building agents – not just a Claude wrapper – and the predictions underneath them, to make that possible. The best UA teams operate more like high-frequency traders than marketers, and they need agents that act on real context, not vague signals.”
John Salter, Partner and Co-Founder at The Raine Group, said Kohort has a clear pathway to becoming a category-defining platform in UA Agents, and added: “The Kohort team is lean, AI-native, and delivers high-quality results at speed. We believe that Kohort’s predictive LTV capabilities and UA optimization technology provide the building blocks for future partnership opportunities, including the potential for a new product around user acquisition financing.”
Kohort is also building tools focused on deep research and automated reporting. Its research system allows studios to analyze UA trends against historical data and industry benchmarks, while the reporting feature automatically generates detailed reports and decks for internal teams.
According to the company, its predictive models are trained on more than $6 billion in historical UA spend data across hundreds of games and currently process around $1 billion in annual spend through the platform. Kohort claims its models deliver campaign-specific predictions with up to 95% accuracy.
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