2025年移动营销调查揭示了行业的宏观趋势。根据AppsFlyer和Sensor Tower的数据,非游戏应用的下载量同比增长12%,而游戏应用下载量保持平稳或略有下降。消费者在非游戏应用上的内购收入持续增长,2024年达到690亿美元,其中娱乐、照片与视频、生产力类应用增长最快,食品饮料类应用收入同比增长44%。这表明用户注意力正从游戏转向消费类应用,开发者需调整变现策略,关注混合变现和广告收入。
营销人员对2025年持谨慎乐观态度。近80%的受访者认为行业状况与去年相同或更好,其中北美和拉美地区最为乐观。超过一半的受访者报告KPI目标比去年更加激进,尤其是非游戏营销人员(61%),而游戏营销人员则相对分化。尽管KPI压力增大,约90%的受访者表示能够接近或达成目标,这得益于广告技术中机器学习模型的进步,能够更精准地定位高意向用户并提升转化率。约半数受访者预算同比增长,预算超过100万美元的公司更倾向于大幅增加投入。
盈利能力和用户获取效率成为首要任务。近80%的受访者将“增加收入”列为首要目标,46%关注扩大用户规模,27%重视品牌忠诚度。在关键绩效指标(KPI)方面,游戏营销人员最看重ROAS(73%),而非游戏营销人员虽然也重视ROAS,但有25%将CPA作为首要指标(主要来自金融、电商类应用)。LTV/ARPU和CPI分别被约15%的受访者视为重要指标。此外,58%的受访者表示目标受众或市场自2022年以来已发生改变,反映出移动用户基数的扩张和消费习惯的演化。
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.
This guide helps app marketers select a Mobile Measurement Partner (MMP) by covering essential features like privacy-first measurement, unified attribution, fraud protection, and advanced analytics. It emphasizes choosing an MMP that integrates easily, scales with business growth, and provides reliable data for optimizing marketing ROI across teams.
This article notes that Unity, its logos, and trademarks belong to Unity Technologies. Other brands are trademarks of their respective owners. It's a legal disclaimer found in advertising contexts.
Mobile app revenue hit $40B in Q1 2025 (+11% YoY), with non-game apps driving growth via AI and short drama. US digital ad spend reached $31B (+12% YoY), with video ads growing 18% while other formats declined 6%. Key trends: ChatGPT (#6 IAP) and short drama apps rising; retail media ad impressions up 31% YoY. Ad ops should prioritize video and AI-driven channels, and monitor Europe and APAC for growth.
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.
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.
Scaling a gaming app to 1 million users requires AI-driven user acquisition with personalized creatives and playable ads, cross-platform storytelling, and influencer collaborations. Retention relies on adaptive content, community building, localization, and deep linking for seamless re-engagement. Hybrid monetization combining IAP, subscriptions, and ads with dynamic pricing optimizes revenue. Advanced analytics and predictive insights enable real-time campaign optimization. Decision-makers should prioritize AI and machine learning for UA and retention, implement deep linking for frictionless user journeys, and leverage data-driven monetization strategies to sustainably scale and retain a large player base.
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.
足球顶级赛事揭示了移动营销的五个关键教训:注意力呈3分钟爆发式碎片化,而非持续第二屏;购买行为与注意力不同步,中场休息是转化高峰;全球赛事不等于全球行为,本地法规、基础设施、生活习惯塑造差异;情感参与度比观众规模更能驱动互动,胜负难料的比赛...
营销归因是确定哪些渠道和广告活动真正驱动转化的关键,缺乏独立测量层会导致预算决策被last-click偏差扭曲,使真正有效的渠道被削减。多触点归因模型(如位置模型)比单触点更准确,但需要更多数据支持;AppsFlyer的归因方案可恢复30-...
文章指出AI时代营销技术栈的核心问题在于测量层与激活层脱节,四个结构性缺陷(平台碎片化、渠道孤岛、漏斗盲区、测量-激活断层)导致信号失真与决策偏差。关键洞察是传统营销云以激活为中心,但AI优化依赖独立、一致的信号层,AppsFlyer通过跨...
移动应用因率先解决隐私、欺诈和平台碎片化等挑战,建立了全渠道测量的黄金标准。例如,iOS 14.5后移动广告支出持续增长,而欺诈检测显示约15%的安装为虚假。其他渠道必须借鉴移动经验,通过独立归因、信号治理等基础设施,才能实现可信任的跨平台...
80%的金融科技公司已将AI应用于营销,但仅29%获得实际成效,核心差距不在于技术本身,而在于未能将AI与高质归因数据有效连接。成功案例表明,从单一工作流入手(如异常检测或漏斗分析),借助现有工具(如AppsFlyer的Agent Hub和...
跨平台测量通过统一的客户身份(CUID)将网页、移动端、CTV等渠道的触点连接成单一归因旅程,解决数据孤岛导致的LTV低估和归因冲突问题。AppsFlyer的Product Line分组与CUID拼接实现实时跨平台LTV与ROAS衡量,避免...