2025年,流媒体(CTV)已成为主流,占据美国44%的电视观看时长,其中72%的电视观看由广告支持。全球开放式程序化CTV广告支出在2025年Q1达到50亿美元,同比增长10%。AppsFlyer数据显示,CTV到移动端安装量在2024年8月至2025年1月间几乎翻倍,凸显了CTV作为用户获取渠道的重要性。
AppsFlyer与Roku的新集成实现了跨渠道归因,将Roku广告数据直接接入AppsFlyer,使广告主能够衡量从CTV曝光到移动端安装、应用内事件及长期价值的完整用户旅程。该集成支持CTV到CTV、移动端到移动端以及CTV到移动端的全链路归因,并通过统一的整合简化工作流程。
在实践应用上,该集成支持跨设备归因,将Roku上的广告与家庭内所有设备的安装和启动关联;通过QR码归因桥接电视与移动端,促进用户转化;帮助广告主在优质高注意力环境中获取新用户,并作为上层漏斗渠道补充移动端营销,实现全漏斗覆盖。
Roku在2025年初已超过9000万流媒体家庭,为广告主提供了巨大的受众规模。多位营销高管(如Fliff的CMO和Brigit的VP)反馈,通过该集成,CPA和ROAS等关键指标表现积极,用户获取效果显著提升。
总之,AppsFlyer与Roku的集成为广告主提供了统一的电视与移动端策略,实现透明的效果衡量和精准的预算优化,帮助品牌在CTV时代将流媒体参与转化为实际的业务增长。
The article discusses how mobile marketers can navigate 2023's economic slowdown, privacy changes, and post-COVID cooldown. Key insights include shifting from growth to profitability, prioritizing retention, diversifying channels, and adopting new measurement frameworks (SKAN 4.0, MMM, incrementality). Data shows apps spent $80B on UA in 2022 (5% YoY drop), iOS installs grew 16%, and non-gaming IAP revenue rose 20% while gaming fell 16%. Experts stress agility, LTV focus, and CTV growth.
Banks lack unified attribution for owned channels (email, SMS, push), web, QR codes, and re-engagement, causing budget misallocation. Omnichannel attribution connects all touchpoints to deposits and loans, revealing that owned channels can be 2-3X more cost-efficient than paid ads. Cross-device journeys (e.g., mobile ad to desktop conversion) remain invisible in single-device attribution. Banking-grade compliance (SOC 2, ISO 27001) is maintained. Ad ops decision-makers can optimize budget allocation by comparing true cost per deposit/loan across channels.
Cross-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.
Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.
Over 75% of banking app users drop off after first session due to friction. AppsFlyer's Deep Linking Suite preserves user intent by routing customers directly to relevant in-app experiences from any entry point: web, QR codes, SMS, email, or app. Deferred deep linking ensures non-app users reach the intended destination after installation. Deep linking improves day-30 retention by 110% with personalized onboarding. For ad ops, this reduces wasted ad spend by connecting campaigns to actual conversions like account funding.
App Store Optimization (ASO) is crucial for increasing organic app downloads and reducing user acquisition costs, especially with IDFA deprecation. ASO involves optimizing metadata (title, description, keywords), visuals (icons, screenshots, videos), and leveraging user reviews. Key differences exist between Apple App Store and Google Play Store (e.g., keyword duplication handling). Regular updates, A/B testing, and seasonality are essential tactics. Top 3 search positions capture most downloads, making ASO a high-ROI strategy.
AppsFlyer and Google have launched a joint iOS attribution solution leveraging Google's Integrated Conversion Measurement (ICM) to close measurement gaps caused by privacy changes. The solution enriches signal coverage, validates conversions via proprietary algorithms, and provides a unified, privacy-centric view in AppsFlyer's dashboard. Early adopters saw dramatic improvements, including a 138x increase in install volume and 50x more subscriptions for Zutobi. Ad ops decision-makers should prioritize implementing the integration to regain lost visibility and optimize iOS campaign performance.
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.
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全渠道分析(omnichannel analytics)要解决的核心问题不是“哪个仪表盘的数字更准”,而是如何确认散落在移动端、Web、CTV、AI 搜索等各触点上的三次曝光其实属于同一个人,并在同一套归因引擎下完成统一衡量。文章引用数据指...
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AppsFlyer 同时打通 AI 流量的付费与自然两侧归因:付费侧通过 ChatGPT Ads 集成经 OpenAI Conversions API 回传,自然侧将原有搜索归因扩展至 AEO,覆盖 8 个 AI 引擎与 13 个传统搜索引...
真正的跨渠道营销分析并非把Meta与Google的报表并列展示,而是通过统一的身份识别(CUID)将同一客户贯通各渠道,在归因前解决重复计数问题,否则只是渠道聚合而非跨渠道分析。据AppsFlyer数据,统一归因能帮助品牌实现30%以上的归...
本文通过澳大利亚电商忠诚度平台的案例,展示了AppsFlyer与Braze集成如何将深度链接、行为归因和个性化编排融为一体,实现从安装到首次购买时间缩短66%的显著成效。关键数据包括推送收入提升500%、邮件和内容卡片收入增长50-80%,...