In this App Chat interview, Takuji Komita from SVC shares how playable ads propelled Supermarket Work Simulator 3D to explosive user growth. The game, with over 5 million Android downloads and chart-topping positions in the US, UK, Germany, and France, used playable ads to let users try cashier and supermarket management tasks before installing. This approach reduced friction and attracted high-intent users, resulting in strong early metrics and sustained engagement.
Komita emphasizes that playable ads are crucial for hyper-casual games, as they demonstrate core mechanics and hook players instantly. The team quickly scaled campaigns by analyzing performance data and optimizing creatives. This strategy not only boosted installs but also improved retention and ROAS.
SVC's success underscores the importance of aligning ad formats with gameplay to drive efficient user acquisition in a competitive market. The interview also touches on broader mobile marketing trends, including the role of early metrics and the balance between CPI and ROAS campaigns.
The SVC case study reinforces a growing industry signal: playable ads are no longer just a creative format for hyper-casual but a strategic lever for scaling casual titles in competitive markets. What's notable here is the speed of scaling—moving from testing to explosive growth in a matter of weeks. For UA teams, this underscores the importance of aligning ad format with gameplay loops early in the campaign lifecycle.
The key implication for monetization strategists is that playables can reduce wasted spend by qualifying users who demonstrate intent and skill, thereby improving downstream ROAS. Against a backdrop of privacy-driven signal loss and rising CPI, the ability to drive high-intent installs through interactive creatives offers a practical hedge against deteriorating targeting precision. This is particularly relevant for Japanese developers expanding globally, where cultural localization of ad interactivity can differentiate campaigns in saturated verticals like simulation and time-management games.
In 2025, non-game apps surpassed games in revenue, with total in-app spending hitting $167B. APAC publishers drove a $2.58B increase in gaming revenue. Short Drama and AI Assistant categories saw explosive growth, while Blinkit, Shopee, and DeepSeek led their sectors. For ad ops, this signals shifting user attention toward lifestyle, commerce, and AI tools, creating new inventory opportunities beyond gaming.
TikTok's full-funnel automation, integrating creative, media, and measurement, addresses fragmentation in AI tools. Brands using Smart+ and GMV Max see improved ROAS and CPA. Case studies show Naturium achieved 3.5x ROAS, PHLUR 191% higher ROAS, and Leatherman 97% revenue increase. Symphony and Content Suite enable scalable, authentic content. The key is pairing automation with strategic storytelling.
Target ROAS campaigns often fail to scale due to unrealistic targets, budget cuts during learning, short data windows, or frequent structural changes. To scale, focus on three pillars: sufficient budget for exploration, flexible ROAS targets during early learning, and adequate data windows to capture long-term value. Avoid micromanaging; instead, provide stable signals and exploration capacity for the algorithm.
Ramadan drives high mobile engagement in the Gulf, but success hinges on pre-Ramadan acquisition for higher LTV and remarketing during the month. eCommerce peaks early; finance responds to mature market triggers; travel converts at Eid. Post-Ramadan, focus on retention over acquisition to stabilize. AI tools are operational but measurement lags. Key takeaway: plan early, leverage remarketing, and phase strategies by period.
The article provides campaign management tips for first-time Mintegral AppGrowth users. It recommends starting with broad targeting in CPI campaigns to collect data and enable algorithmic learning, then transitioning to smart bidding like Target ROAS as the app matures. It advises against running CPI and ROAS campaigns in parallel, favoring one optimization model at a time. For global campaigns, unified structures are preferred over fragmented ones to improve machine learning efficiency, provided budgets are sufficient per market. Key actions include using sub-source management to optimize performance and balancing centralized management with regional adaptation.
Mintegral's Target ROAS guide offers practical steps for ad ops decision-makers to optimize campaigns. Key insights include enabling data postbacks for accurate ML modeling, verifying event mapping to ensure correct revenue signals, reducing data discrepancies with MMPs by selecting proper report types and time windows, and incrementally tweaking budgets (e.g., adjusting ROAS goals by ≤10% weekly, or reducing by ≤5% for scaling). The guide emphasizes flexible adaptation based on regional and product differences to achieve better ROAS outcomes.
Adjust Audiences enables ad ops teams to build real-time user segments for personalized campaigns. Key audience types include geographic, acquisition-based, lifecycle, inactivity, revenue, event-based, and combined segments. Sharing dynamic audiences with partners ensures up-to-date targeting, reducing wasted spend and improving ROI. Actionable insights: suppress low-intent users, retarget high-value segments, and automate workflows via partner integrations.
Mintegral campaigns often underperform initially due to normal learning phase volatility, not platform issues. Advertisers should expect fluctuating ROAS as machine learning explores inventory. Stability requires sufficient data volume in each market, so consolidating budgets on priority geos and allowing time for optimization are key. Clean event mapping and consistent delivery support long-term success, while structural issues like missing events need setup corrections. Patience and realistic targets enable scalable performance.
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