The mobile gaming market is recovering after a 2022-2023 slowdown, with Sensor Tower reporting 4% YoY growth in gaming spend driven by strategy, puzzle, and action categories. GameRefinery notes midcore-leaning casual games are becoming industry staples, and match-3 games are reviving despite past saturation. UA strategies are evolving with dynamic ad formats and exploration of non-gaming app supply (utilities, entertainment, social).
Casual games now prioritize retention and sustainable revenue through hybrid models and less intrusive innovations like audio ads. The Liftoff and Singular 2025 report provides benchmarks, install sources, top games, and trends across UA, monetization, and development.
Mobile game downloads hit a 5-year low, but casual games see high revenue potential on iOS with 47% D30 ROAS vs. 15% on Android. Hypercasual and puzzle games drive half of installs. Audio ads, temporary ad removal, and customizable IAPs are emerging monetization trends. Ad ops should prioritize iOS for ROAS, leverage non-gaming app inventory, and consider hybrid puzzle genres for broad reach.
Many developers underestimate ad monetization, fearing it harms user experience. However, well-placed ads like rewarded videos can boost engagement and revenue without driving churn. Even small apps with 1,000-2,000 DAUs can profit from ads and reinvest in growth. Early monetization planning is crucial to avoid rework and user resistance. A hybrid model combining in-app advertising (IAA) and in-app purchases (IAP) diversifies revenue and captures value from non-paying users. Tools like Mintegral's Hybrid ROAS optimization help maximize performance through dynamic bidding.
Merge Mansion boosted revenue by doubling live events and introducing innovative types like Merge It Up! mini battle pass, Secret Supply casino-merge minigame, and Circus Caper decoration event. Revenue spikes correlated with battle pass cycles and IAP offers. Key takeaways: events should drive premium currency use, PvE mode overlaps increase engagement, and unique mechanics deepen gameplay. For ad ops, focus on event-driven monetization and data-informed LiveOps strategies.
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
Non-gaming apps are increasingly adopting in-app advertising to diversify revenue beyond subscriptions, addressing subscriber fatigue. Key strategies include rewarded ads, triple-page ads, and gaming ads. Data shows 116% revenue growth on Vungle Exchange (Sept 2023-Oct 2024). Emerging markets offer high eCPMs. New ad placements like app open and in-line ads boost eCPMs significantly.
Ad monetization dominates mobile gaming downloads, with puzzle titles driving over half of ad revenue across major networks. Hybrid-casual has split into two models: ads-first and IAP-first, with IAP-driven titles significantly outperforming in total earnings. Success requires aligning game design, network choice, and regional strategy. The report emphasizes that ad strategy is now foundational, not secondary, for player acquisition and monetization.
Liftoff Intelligence Services, including AppRefinery for consumer apps and GameRefinery for mobile games, offers competitive insights and feature-level data to optimize UA, monetization, and retention. Teams can leverage user motivation modeling to target smarter, improve ROAS, and align product decisions with audience preferences. With over 100,000 apps analyzed, these tools provide actionable benchmarks for building smarter and growing with confidence.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
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