Kohort raises €6 million Series A
- Kohort said on May 7 it closed a $7 million Series A, or about €5.9 million, to build AI user-acquisition agents for mobile game studios. - The round was led by The Raine Group, a returning investor, and Kohort says its models are trained on $6 billion of historical spend. - The bet is that mobile-game marketing can be partially automated as studios hunt efficiency after years of tougher ad economics.
Mobile game marketing is the kind of job everyone wants to automate and almost nobody has fully cracked. The money is huge, the feedback loops are messy, and one bad creative cycle can burn budget fast. That is the gap Kohort is trying to attack. On May 7, the London company said it raised $7 million in Series A funding — roughly €5.9 million — led by returning backer The Raine Group to build AI user-acquisition agents for game studios. ### What does Kohort actually do? Kohort sits in the mobile gaming growth stack. It has already been selling analytics, forecasting, and user-acquisition optimization tools. The new pitch is more ambitious — not just dashboards that tell marketers what happened, but software agents that help run pieces of the job, from research and reporting to campaign optimization. (finance.yahoo.com) ### What are “UA agents” in plain English? UA means user acquisition — basically the machinery studios use to buy installs and players through ad platforms. In practice that means picking audiences, testing ad creatives, watching return on ad spend, and shifting bids before a campaign goes sideways. Kohort’s idea is that an AI agent can take over more of that loop, especially the repetitive analysis and decision support that human growth teams do every day. (eu-startups.com) ### Why is this a hard problem? Because mobile-game marketing is not just “buy cheaper clicks.” A studio needs to predict which users will stick around, spend money, and keep playing long enough to justify the upfront cost. That makes forecasting the core trick. Kohort’s own argument is that good long-term prediction is the context an agent needs to make useful decisions, which is why the company keeps framing this as signal engineering as much as context engineering. (eu-startups.com) ### What gives Kohort a shot? The company says its models are trained on about $6 billion in historical user-acquisition spend across hundreds of games, and that its platform already benchmarks against more than $1 billion in annual spend. That matters because agent software is only as good as the patterns underneath it. If those numbers hold up, Kohort is not starting from a blank chatbot prompt — it is starting from a pretty big pile of campaign history. (financialcontent.com) ### Why does The Raine Group matter here? Raine is not a random financial investor parachuting into an AI story. It led this round and had already backed Kohort at seed. That repeat check suggests the firm thinks the company has moved from a useful analytics tool toward something bigger — a workflow product that could sit closer to budget decisions, where the value capture is much higher. (mastersingaming.com) ### Why now? Because the mobile games business has spent the last few years under pressure. Privacy changes made targeting harder. Ad inventory got noisier. Studios became more careful with spend. So the appeal of agentic tooling is obvious — if software can test more creatives, surface better forecasts, and cut wasted spend, growth teams can stay leaner without flying blind. That does not mean humans disappear, but it does mean the old “bigger UA team equals better performance” logic gets weaker. (finance.yahoo.com) ### What’s the catch? User acquisition is one of those domains where small mistakes compound. An agent that optimizes for the wrong signal can look smart for a week and dumb for a quarter. So the real test is not whether Kohort can automate reporting or research — lots of AI tools can do that — but whether its agents can make reliable budget and creative decisions without introducing expensive drift. That part is still the hard version. (pocketgamer.biz) ### Bottom line? This round is a focused bet on a very specific slice of applied AI — not generic assistants, but software that tries to run a revenue-critical function inside mobile gaming. If Kohort’s forecasting layer is strong enough, the company could become more than an analytics vendor. It could become part of how studios decide where marketing dollars go. (finance.yahoo.com) (financialcontent.com)