In this episode of App Chat, Mintegral interviews Shohei Nagaoka, CMO of Goodroid, a Japanese game developer founded in 2014 known for casual and hyper-casual games like Snow Race!!!, Hospital Escaper, and Nuts and Bolts Sort. Goodroid shares their design philosophy and effective strategies for user acquisition and monetization, emphasizing the importance of balancing IAA and IAP revenue. The article also promotes Mintegral's updated Target ROAS tool, which now supports both ad and purchase-based optimization.
Additional insights cover the limitations of early metrics in predicting long-term success, global expansion trends for entertainment apps in 2026, and how to optimize between CPI and ROAS campaigns for better results. The content is aimed at mobile marketers looking to enhance their performance marketing strategies.
Mintegral's retargeting platform re-engages dormant users via CPI, CPE, and ROAS bidding models. Key insights: retargeted users convert 50% more often than first-time visitors and are 3x more likely to engage, with over 50% completing actions within a week. The platform supports both gaming and non-gaming apps, offers 60%+ match rate, and integrates seamlessly with UA campaigns for lifecycle optimization.
The mobile advertising industry is optimistic heading into 2025, with 80% of marketers expecting the year to be as strong or stronger than 2024. Non-gaming apps are driving growth, with downloads up 12% YoY and IAP revenue increasing 20%+. Marketers are prioritizing profitability and ROAS, with over half reporting more aggressive KPIs. Generative AI is already benefiting creative production and optimization. iOS re-engagement remains underleveraged, and most marketers are still adapting to SKAN. Budgets are increasing, with a focus on ad networks and self-attributing networks.
Preload campaigns are critical for UA in 2025, offering early brand presence, higher trust, and cost-efficient growth. Key benefits include increased visibility, engagement, and LTV. Practitioners should leverage advanced segmentation, automated recommendations, predictive analytics, extended attribution windows, and incrementality testing. Partnerships with OEMs and platforms like Appnext, Aura, AVOW, Digital Turbine, and InMobi can drive significant results, as seen with Magalu's 100k+ monthly installs and 4x ROAS.
Retargeting complements user acquisition by re-engaging churned users, boosting conversion rates by 150% and ROI by 1,046%. Despite its benefits, many teams separate UA and retargeting due to resource constraints, missing out on sustained growth. Mintegral offers cost-per-event retargeting with AI-driven optimization, enabling unified campaigns that maximize long-term user value and app success.
This guide demystifies mobile marketing acronyms for ad ops. Key pricing models include CPM for awareness, CPC for traffic, CPI for installs, and CPE for engagement. Mintegral's Target CPE and Target ROAS optimize for conversions and ROI. Platforms like DSP, SSP, and RTB automate buying and selling. Attribution relies on MMPs, SKAN, and MMM. Metrics such as MAU, DAU, LTV, and ARPU track performance. Monetization models (IAA, IAP, hybrid) and ASO/CTV are also covered. Actionable takeaway: choose pricing and tracking based on campaign goals.
Hybrid monetization (IAP + IAA) is crucial for non-gaming apps, with 45.5% of hybrid app downloads coming from subscriptions+IAP+IAA combos. IAP-driven apps, like mini-series, saw IAA revenue increase 40x by adding rewarded ads. Best practices: segment users, design incentives, and use in-app bidding for higher efficiency (up to 60% revenue lift). AI-powered platforms optimize bids and placements, balancing user experience and monetization.
Hybrid monetization, combining in-app purchases (IAPs), in-app advertising (IAA), and subscriptions, is key to maximizing revenue and user lifetime value. By diversifying revenue streams, developers mitigate risk and cater to varied user preferences. The strategy is led by hybrid casual games but extends to finance, e-commerce, and health apps. Best practices include audience segmentation, personalized offers, A/B testing, and balancing user experience with revenue. Analyzing metrics like ARPU, LTV, and churn is crucial for optimization.
To reduce app uninstalls, focus on user-centric onboarding, consistent value delivery, and optimized performance. Personalize engagement through behavior-based push notifications and in-app experiences. Use proactive communication to re-engage dormant users, and leverage social proof to build trust. Avoid app fatigue by balancing communication frequency. Analyze uninstall data to identify churn patterns, encourage habit formation with streaks or daily rewards, and reward loyal users with exclusive perks. These strategies, supported by MMP analytics, help create an app experience users want to keep.
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