XTech, a Vietnam-based global app publisher, achieved over 50 million users across its portfolio, driven by flagship AI and health apps like Health Tracker and PixArt. The company focused on expanding AI-powered tools while adapting to diverse cultural preferences. Key challenges included localization and culturalization, requiring deep adaptation of both product and creatives to local markets. User trends emphasized the need for powerful yet effortless AI features and culturally tailored ads.
To overcome performance plateaus and rising CPIs, XTech adopted playable ads via Playturbo and Mintegral. The interactivity of playable ads led to better engagement and higher-quality installs. Results included daily installs doubling, with 55% attributed to the new format, and ROAS improving by 5%. The spend-based pricing minimized risk and freed budget for testing more creatives. The Playturbo team provided hands-on support with deep analysis of app mechanics, user profiles, and daily performance tracking with fast iteration.
Actionable takeaways for app marketers: test smart by looking beyond ROAS at metrics like CTR and CVR; localization requires cultural relevance, not just translation; collaborate closely with UA partners for unique insights; and iterate fast based on data. XTech plans to scale interactive campaigns further using Playturbo's self-serve tools.
Banking apps are vital digital channels requiring granular measurement to optimize user acquisition, engagement, and retention amid strict privacy regulations. Key challenges include measuring sensitive conversions, preventing fraud, and personalizing experiences without compromising compliance. Granular event tracking, deep linking, and anti-fraud solutions are essential. Banks must measure early-funnel milestones, re-activate dormant users, and leverage owned media for cost-effective re-engagement. Advanced attribution methods like SKAdNetwork, probabilistic modeling, and data clean rooms help navigate privacy changes. Effective measurement drives long-term customer value and validates mobile's impact on business outcomes.
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.
AppsFlyer's Creative Optimization tool centralizes creative performance data, detects fatigue early, and enables cross-geo/network comparisons. AI-powered tagging dissects ads by elements like tone, content, and timing, revealing why ads succeed. This eliminates guesswork, improves budget allocation, and accelerates ad iteration for UA teams.
Aura Remarketing re-engages inactive app users via native on-device notifications, targeting high-value segments like in-app purchasers. It diversifies UA strategy by reactivating lapsed users (90% churn within 30 days). Key targeting: user type, demographics, device, download recency, engagement, and post-install behavior. Requires a performance link, redirect link, user criteria, bid, and KPIs. Currently supports notifications; future placements include Game Spotlight. No additional privacy steps needed.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
To maximize ROAS in 2025, leverage cross-team collaboration and AI tools for creative scaling. Analyze competitors and adjacent industries for inspiration, use A/B testing with single-message ads, and explore interactive formats (playables, carousels). Tag creatives for better attribution and localize with AI dubbing. Small edits like shortening ads or tweaking formats can dramatically boost performance.
AI is now mainstream, with ChatGPT reaching 1B downloads and user prompts expanding beyond work into lifestyle categories like Health & Wellness. Apps across verticals (Health, Finance, Education) must integrate niche AI features or risk replacement. Competitors can leverage AI ad spend trends and App Store optimization to capture casual audiences.
Most marketing AI fails due to poor data foundations: fragmented, unstructured, or inconsistent data leads to flawed insights. AI needs governed, contextual, and real-time data to function reliably. For ad ops decision-makers, ensuring data completeness, consistency across sources, and governance is critical before scaling AI. Richer, well-documented data improves attribution, fraud detection, and automation. The key takeaway: AI is only as smart as the data it consumes.
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