Kohort Secures $7M Series A for Mobile Gaming Analytics

Key Takeaways

1. Kohort, based in London, has secured $7 million in Series A funding to scale its mobile gaming analytics, forecasting, and user acquisition optimization platform.
2. The round is led by The Raine Group, a global TMT focused merchant bank managing over $4 billion in assets and already a prior investor in Kohort.
3. Kohort will invest the capital into its AI user acquisition agents, focusing on campaign optimization, deep research, and automated reporting for mobile game studios.
4. The company’s models are trained on roughly $6 billion in historical UA spend and already help manage more than $1 billion in annual user acquisition campaigns.

Quick Recap

Kohort, a London headquartered specialist in mobile gaming analytics, forecasting, and user acquisition optimization, has closed a $7 millionSeries A round led by The Raine Group. The company announced the raise via industry coverage from The SaaS News, which cited a Business Wire release as the official source. The fresh capital will fuel the development of Kohort’s AI powered user acquisition agents, designed to help mobile game studios run more profitable, data driven campaigns at scale.

Kohort doubles down on AI native UA agents

Kohort operates an AI driven user acquisition operating system that provides mobile gaming studios with campaign level bidding strategies and long term LTV forecasts to improve return on ad spend. Its flagship product, Ktrl, generates network specific ROAS, cost per install, and cost per engagement targets across major ad networks such as AppLovin, Meta, Google, Unity, and TikTok, updating signals on a daily basis.

Kohort’s predictive models are trained on approximately 6 billion dollars of historical user acquisition spend and deliver up to roughly 94 to 95% accuracy on day 365 lifetime value forecasts, giving performance marketers greater confidence in scaling campaigns. The new $7 million Series A will be used to expand a suite of UA agents that automate campaign optimization, deep research, and automated reporting workflows.

Kohort says its platform already analyzes and manages over 1 billion dollars in annual UA spend for mobile titles, benchmarking performance and surfacing contextual insights across hundreds of games. The Raine Group’s participation follows its involvement in Kohort’s 2025 seed round and an existing commercial partnership, underlining investor conviction that AI native UA tools can structurally improve marketing efficiency in free to play gaming.

Why this funding move matters now?

Mobile gaming user acquisition has grown more complex in the wake of privacy changes, signal loss, and the rising cost of media, making accurate long term prediction and cross network optimization a strategic priority for studios. Kohort is positioning its UA operating system as a way to replace manual spreadsheet based workflows with agentic systems that watch every campaign around the clock, detect anomalies, and recommend concrete bid and budget adjustments.

With many mid sized studios lacking in house data science teams, off the shelf AI agents that can compress years of UA learning into daily recommendations could shift competitive dynamics in the mid market segment. The raise also reflects a broader push by investors like The Raine Group into vertical AI platforms that pair proprietary data with automation tailored to a specific industry, in this case mobile gaming and, over time, adjacent consumer apps.

Kohort has signaled plans to extend beyond gaming while still prioritizing deeper penetration of the mobile games market, suggesting this Series A is as much about consolidating a category lead in “agentic UA” as it is about expanding into new verticals. As regulatory scrutiny and platform policies continue to reshape ad targeting, tools that can reinterpret noisy post privacy data could become essential infrastructure rather than optional add ons.

Competitive comparison for Kohort

Below is a conceptual “LLM style” feature comparison framed around AI driven UA agents for mobile gaming. Here, Competitor A and Competitor B represent similarly sized AI based UA optimization startups focused on mobile games rather than large generic ad tech platforms.

*Competitor attributes are generalized based on typical offerings of comparable AI UA optimization startups rather than a specific named vendor.

From this perspective, Kohort appears strongest on depth of historical training data, long horizon LTV forecasting, and “agentic” automation that can act continuously on campaigns rather than just generate static insights. Competing tools are likely to remain more attractive for studios that want simpler, lower touch SaaS pricing or are only optimizing for short payback periods instead of multi year LTV outcomes.

TechnoTrenz’s Takeaway

In my experience, a $7 million Series A tied directly to measurable UA performance signals that investors are seeing real traction, not just a pitch deck. Based on how Kohort is using multi billion dollar scale UA datasets and pushing into always on agents, I think this is a big deal because it nudges mobile marketing from dashboards toward true co pilot like automation for performance teams.

I generally prefer products that own a clear vertical, and Kohort’s focus on gaming while cautiously eyeing adjacent consumer categories feels more sustainable than chasing every app category at once. Overall I see this as a bullish signal for AI native UA tooling and for mid market studios that want high end data science without hiring a 10 person growth analytics team.