根据Sensor Tower《2025年移动行业报告》,健康健身类应用在经历疫情后的波动期后迎来强劲反弹。2024年全球下载量达到创纪录的36亿次,同比增长6%,其中健身房与健身子类别继续领跑,占据下载量前十中的七席。医疗追踪子类别受益于技术进步和个性化健康管理需求,下载量同比飙升43%,典型应用Health Tracker在发布仅五个月内月活用户突破1000万。
从收入端看,2024年各主要子类别的内购收入持续增长,美国市场贡献全球过半份额,英国以8%位居第二。2025年1月内购收入同比激增10%至3.85亿美元创历史新高,预计全年全球内购收入将超过40亿美元。户外运动类应用表现尤其亮眼,Strava、OnX Hunt、Runna和AllTrails等应用收入增长领先,反映出用户对数字疲劳的厌倦和对线下体验的渴望。
在用户获取方面,健身奖励类应用竞争白热化。Sweatcoin以近25%的月活用户份额保持领先,但新入局者CashWalk和WeWard增长迅猛,2024年月活用户分别同比增长42%和609%。这些应用的留存表现优于同行,CashWalk和Sweatcoin的30日留存率分别达31%和20%,而其他竞争者难以维持同等水平的用户忠诚度。
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.
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Generative AI apps on mobile earned nearly $1.3B in global IAP revenue in 2024 (+180% YoY), with downloads approaching 1.5B (+92% YoY). AI Chatbots drove growth, led by ChatGPT at 40% revenue share, while tech giants like Google and ByteDance entered the space. AI is expanding beyond chatbots into 15+ app categories, with AI-related apps downloaded 17B times (~13% of all downloads). For ad ops, this signals massive growth in user engagement and monetization opportunities across diverse verticals.
Japan's mobile gaming market remains a revenue powerhouse, generating over $10B in IAPs in the past year despite a slight decline. Downloads are down, but engagement is stable, indicating a mature, high-value audience. Gaming ranks third in Japan's digital ad spend, with the ad market at record highs. Ad ops teams should align with major events and new releases for monetization spikes, balance casual puzzle UAC for volume with strategy/RPG for LTV, and consider cross-platform campaigns.
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.
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.
Unity's 2025 mobile gaming report highlights key trends including expansion of rewarded marketplaces beyond games and mobile, increased adoption of ad-supported models by subscription apps, resurgence of midmarket titles, hybrid-casual game dominance reshaping ad strategies, APAC developers expanding globally, and long-format playables for scaling. Ad ops decision-makers should focus on diversifying ad formats, leveraging rewarded video, and optimizing for user engagement with longer creatives.
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.
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