Mintegral has launched Hybrid ROAS, an optimization model that integrates in-app advertising (IAA) and in-app purchases (IAP) to help developers maximize revenue. Powered by AI, Mintegral Smart Bidding dynamically adjusts bids based on each user's potential value from both monetization strategies. When activated, the algorithm targets high-intent users for ad views and purchases simultaneously, optimizing ad performance and budget efficiency.
Developers can choose Day 0 (within 24 hours) or Day 7 (within 7 days) ROAS targets, and the system uses an optimized Cost Per Install (oCPI) model to achieve goals. To start, developers must configure data postback for IAA, IAP, and install events, and meet event accumulation and IAP revenue ratio requirements. Recommended practice: set initial ROAS based on current product results, then gradually increase targets.
The algorithm requires a learning period: Day 0 campaigns stabilize in 5-7 days, Day 7 in 15-20 days. For stability, limit ROAS adjustments to twice per week with ≤10% changes. Testimonial from ONESOFT, maker of Goods Puzzle, reports solid results with Hybrid ROAS, noting flexibility in optimizing ad spend while maintaining steady performance.
The model helps maximize ad efficiency, scale user acquisition, and improve ROI by balancing ad-engaged and purchase-ready users.
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.
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.
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.
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.
Vietnam's mobile app market is growing rapidly with over 24,600 local apps. Non-gaming apps have strong global potential, as shown by Prank Call: Fake Video Call's 12.94 million downloads. Mintegral offers programmatic advertising with smart bidding (Target ROAS, Target CPE) to acquire high-quality users worldwide. It ranks 3rd in global power and volume per AppsFlyer Index 17. Vietnamese developers can use Mintegral's AI and cross-platform services to expand internationally, with partners reporting significant traffic and revenue growth.
Intelligent Monitoring provides real-time visibility into campaign learning stages (Learning Phase, Learning Limited, or Stable Delivery), guiding optimization. Key insights: set sufficient budgets ($100/day US, $50/day non-US for Target ROAS; 10x T-CPE goal for Target CPE), set reasonable goals based on historical performance, avoid budget cuts or removing top creatives during learning, and ensure full data postback. Once stable, scale by increasing budget or expanding to new regions.
Influencer marketing drives app growth by building trust and authenticity beyond traditional UA. Budgeting should start with target markets, CPM benchmarks, and a 25% uplift in daily organic installs. Choose creators based on data: audience demographics, recent views, and content alignment. Measure performance with granular attribution links (e.g., AppsFlyer OneLink) to track installs, conversions, and ROI. Avoid vanity metrics; focus on CVR, retention, and long-tail effects. Start with small campaigns to gather benchmarks before scaling.
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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