越南移动应用经济正加速发展,凭借高智能手机普及率和数字化人口,成为全球下载量和用户参与度的领先市场。Adjust最新发布的《Mobile app trends spotlight edition: Vietnam 2025》报告,为开发者和营销人员提供了关键基准和趋势洞察,涵盖游戏、金融和娱乐领域,助力制定更智能的增长策略。
报告显示,游戏应用ATT opt-in率在2025年Q1同比攀升至49%,说明用户对数据追踪的接受度提升。2024年游戏应用安装量同比增长3%,夏季出现安装高峰,凸显季节性投放机会。金融应用会话量在2025年Q1同比激增84%,反映用户活跃度大幅提高。视频流媒体会话时长从2024年的15.25分钟增至2025年Q1的20.19分钟,表明用户粘性增强。
这些数据为广告主和MMP提供了优化用户获取和广告变现策略的依据。高ATT opt-in率有助于提升归因分析准确性,金融应用的高会话量提示投放潜力,视频流媒体的增长则意味着更高的用户参与度和长LTV机会。营销人员可据此调整投放策略,聚焦增量提效,利用CPI、ROAS等指标评估效果。
AI personalization is now essential for mobile marketing, with 71% of consumers expecting tailored experiences. This article outlines how AI enhances audience intelligence, creative personalization via DCO and GenAI, engagement timing, and measurement. Marketers should start small with focused A/B tests, prioritize user value, and collaborate across UA, CRM, and product. Key challenges include privacy, overpersonalization, and model bias. Adjust's Growth Copilot offers AI-driven analytics to streamline decision-making.
LLMs like ChatGPT and Gemini are reshaping mobile app discovery, with traditional search volume expected to decline 25% by 2026. These AI platforms act as answer engines, delivering direct app recommendations to users. For ad ops, this shift requires optimizing for LLM visibility through structured content and reputation management. While native ad formats are in early testing on platforms like Perplexity and Gemini, early adoption can secure high-intent placements. Marketers should track AI-driven traffic and align discovery strategies across ASO, SEO, and LLMs to stay competitive in an AI-first environment.
Mobile marketing automation is critical for scaling ROAS by enabling real-time, data-driven campaign optimization. Key strategies include setting automation rules for bid/budget adjustments based on performance thresholds, implementing anomaly detection to prevent wasted spend, and using smart alerts for timely budget reallocation. A case study from Melsoft Games shows that automation allowed testing hundreds more creatives without extra time or cost. For ad ops leaders, the takeaway is that automation reduces manual bottlenecks, improves reaction speed, and directly boosts ROAS when integrated with attribution and analytics tools.
AI is transforming mobile growth stacks from reactive, fragmented systems into unified, predictive platforms. Marketers move from manual dashboard analysis to conversational AI that delivers instant insights and proactive optimization. Predictive AI flags risks early, enabling faster decisions and reducing wasted spend. The shift empowers marketers to focus on strategy rather than data assembly, with tools like Adjust Growth Copilot providing a single interface for querying, analyzing, and optimizing performance in real time.
ATT opt-in rates continue to rise gradually, reaching 35% globally in Q2 2025, up from 34.5% in 2024. Education apps saw the biggest improvement, from 7% to 14%. Gaming remains top-performing, with sports (50%), hyper casual (43%), and action (40%) leading. Country-wise, Brazil (50%), UAE (49%), and Turkey (42%) are highest. Investing in prompt UX is a strategic lever to increase addressable iOS audiences.
Adjust now supports ChatGPT Ads measurement, enabling advertisers to attribute installs and post-install events from campaigns within ChatGPT. The integration provides URL templates for clicks and impressions, and uses the Conversions API to report conversions back to OpenAI. Advertisers can configure the module in Adjust by entering API credentials and mapping events. This allows tracking of key metrics like impressions, clicks, spend, CTR, CPC, and CPM, making ChatGPT Ads a measurable, data-driven channel for user acquisition.
User testing reveals the gap between designer intent and user experience, uncovering silent churn causes like unclear onboarding or passive ad chains. Analytics show what happens; user testing explains why. Small tests (5-8 participants) can identify friction points, and improving retention by 10% can significantly boost revenue without changing monetization. For ad ops, this means better user engagement reduces wasted ad spend and increases lifetime value.
Adjust now supports Meta's Advanced Mobile Measurement (AMM), enabling advertisers to access non-aggregated last-touch attribution data for precise performance analysis. Starting July 21, 2025, Meta's Engaged Views will be treated with the same priority as clicks in Adjust's attribution waterfall, aligning Meta with other self-attributing networks. These updates improve transparency and reporting granularity, allowing ad ops teams to better measure campaign effectiveness. Opt-in is required for AMM.
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