Mobile Game Funding Surges Toward Product and Performance
A combined USD 77 million (approx. RM354 million) in new mobile game funding is drawing a clear line between what investors value most: compelling games and the infrastructure that scales them. Grand Games secured a USD 70 million (approx. RM322 million) Series B to double down on its portfolio of hybrid casual games, while Kohort raised USD 7 million (approx. RM32 million) in Series A capital to expand its AI user acquisition platform for mobile studios. The split is telling. Capital is flowing both into game studio growth and into AI user acquisition tools that help those studios compete in increasingly crowded app stores. Rather than chasing hype alone, investors appear to be backing a full-stack approach: build data-driven, retention-friendly titles, then pair them with predictive, automated UA engines that can extract maximum value from every marketing dollar.
Grand Games Bets on Hybrid Casual Games as a Growth Engine
Grand Games is emerging as a flagship example of how hybrid casual games can power rapid studio growth. The Istanbul-based company focuses on short, daily play sessions with puzzle-led titles like Magic Sort! and Car Match that combine accessible mechanics with data-driven iteration. This formula has helped Grand record fivefold year-over-year revenue growth and secure three funding rounds in just two years, bringing total funding to USD 103 million (approx. RM474 million). Its USD 70 million (approx. RM322 million) Series B, led by Balderton Capital, will fuel marketing expansion, scaling of existing hits, and support for upcoming launches. Crucially, Grand operates through five autonomous internal studios, giving small teams ownership over product direction while the founders provide strategic support. That structure mirrors the hybrid casual design philosophy itself: lean, fast-moving squads building games that sit between hardcore depth and casual accessibility, targeting a broad, monetisable audience.
Why Hybrid Casual Games Are the New Middle Ground
Hybrid casual games are increasingly viewed as the sweet spot between hardcore and hyper-casual audiences. Their core promise is straightforward: simple onboarding and quick sessions, wrapped around deeper progression, monetisation loops, and live operations that extend lifetime value. For studios like Grand Games, this means they can acquire players at scale with easy-to-understand gameplay, then layer in meta-systems that keep the most engaged users coming back. This middle ground is particularly attractive amid rising user acquisition costs and tighter privacy rules, where pure hyper-casual models struggle to sustain profitability. Hybrid casual titles can support more robust ad revenue and in-app purchases, spreading risk across different monetisation streams. As more studios pivot to this segment, competition for attention intensifies, increasing the importance of sophisticated marketing and UA strategies that can distinguish one puzzle or arcade-style hit from the next.
Kohort’s AI User Acquisition Agents Target the Studio Back Office
Kohort is positioning itself as core infrastructure for mobile game studios that treat user acquisition like a quantitative trading desk. Its USD 7 million (approx. RM32 million) Series A, led by The Raine Group, will fund a suite of UA agents trained on USD 6 billion (approx. RM27.6 billion) in historical spend across hundreds of games. The flagship Ktrl product generates network-specific bidding strategies and targets for each campaign, supporting multiple optimisation types and integrating directly with ad networks. Kohort’s platform delivers daily campaign-level predictions with 95% accuracy, training client-specific models in under 20 minutes by connecting to a studio’s existing data warehouse. Beyond optimisation, the company offers on-demand deep research benchmarked against USD 1 billion (approx. RM4.6 billion) in annual platform spend, plus automated reporting for executives and product teams. Kohort argues that accurate long-term LTV predictions are the only meaningful context for UA, reframing marketers as high-frequency traders armed with specialised AI agents.
AI User Acquisition Becomes Essential Infrastructure for Game Studio Growth
Taken together, Grand Games’ content-focused funding and Kohort’s AI user acquisition war chest point to a new operating model for mobile studios. Success is no longer just about building a hit title; it depends on pairing hybrid casual design with industrial-strength UA systems that can read, predict, and act on market signals in near real time. AI user acquisition tools like Kohort’s agents are moving from experimental add-ons to essential infrastructure for scaling revenue and maintaining efficient marketing spend. As privacy changes blunt traditional performance marketing techniques, studios are leaning on predictive models to reconcile short-term return on ad spend with long-term LTV, especially from high-value “whale” players. Investors appear to be rewarding companies that understand this dual mandate. The next wave of mobile game funding is likely to continue rewarding studios and platforms that tightly couple game design, data, and AI-driven growth operations.