零售媒体网络(RMN)在站内渠道表现出色,但向站外平台扩展时,常因数据碎片化、归因不明确和效果可见性差而受阻。然而站外渠道蕴含巨大增长机会,品牌追求更广的覆盖面、精准定向和可衡量结果,因此RMN亟需打破壁垒,但关键在于解决测量清晰度问题。
以一家领先零售市场为例,其媒体套餐包括站内广告、Meta社交激活和开放网络活动,约60%的转化来自移动端,40%来自网页。但各渠道报告分散,品牌需投入大量工程资源合并数据,导致优化依赖猜测。这凸显了统一测量和去重的重要性。
AppsFlyer的Data Collaboration Platform(DCP)通过整合Meta和Google的移动与网页效果数据,提供统一的仪表盘。DCP利用MMP集成获取用户级互动数据,实现站内与站外渠道的last-touch移动转化去重;对网页转化,则通过验证点击ID是否关联活跃活动及其时间戳是否最接近转化,确保每次转化仅被分享一次,从而获得洁净数据。
DCP将跨渠道数据汇聚于单一视图,使RMN能清晰了解广告表现,简化优化与决策。清晰的测量为RMN提供自信拓展站外营销的基础,准确的归因和直观的看板消除了不确定性,帮助营销人员实现增量提效。
关键实践包括:为合作伙伴提供统一的真实数据视图,消除报告鸿沟;通过智能去重逻辑确保转化唯一计数;简化跨平台数据整合,让团队聚焦洞察而非集成;无论转化发生在站内或站外、移动或网页,都能获取完整效果画面,便于快速行动。
Retail media networks (RMNs) must prioritize accurate measurement to build advertiser trust and prove ROI. With 68% of advertisers ranking ROI as top priority, RMNs need user-level data, SKU-level attribution, and lift analysis to demonstrate campaign impact. The article outlines a checklist for effective measurement, including omnichannel coverage, deduplication, and easy-to-access reports. It emphasizes the importance of data collaboration platforms for bridging walled gardens and achieving precision. A case study of Wolt Ads shows a 32% revenue uplift using AppsFlyer's data collaboration platform. Key takeaways: measurement drives ad revenue, user-level data is essential, flexibility matters, and simplifying reporting is critical for brand adoption.
User acquisition (UA) remains critical in the maturing app market, with non-organic installs growing annually. Key challenges include rising media costs, churn, fraud, and fragmentation. Attribution data and multi-touch modeling help optimize UA by identifying high-performing channels and audiences. Strategic budgeting, A/B testing, and app store optimization (ASO) are essential for maximizing ROI. Ad ops decision-makers should prioritize fraud protection, explore diverse media channels (paid, owned, earned), and leverage cohort analysis to drive cost-effective growth.
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.
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.
AppsFlyer launches the Modern Marketing Cloud, a privacy-first platform combining four suites: Measurement, Deep Linking, Data Collaboration, and Agentic AI. Key products include Cross-Platform Journeys & LTV, showing 27%-65% lift in attributed LTV; Incrementality for UA, revealing 18% of campaigns had no incremental impact; and Enhanced Attribution Model reducing click flooding. The Agentic AI Suite introduces AI Assistant, MCP, Creative Management, and Agent Hub for autonomous marketing. Signal Hub enables secure data collaboration with Mastercard. For ad ops, this means unified measurement, privacy-safe data enrichment, and AI-driven optimization across channels.
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.
App marketing is crucial for standing out among millions of apps. The funnel includes awareness, acquisition, and retention. Key strategies: ASO for organic growth, social media, influencer marketing, and paid ads. Retention via onboarding, push notifications, and re-engagement. Metrics like CTR, ROAS, LTV, and churn rate are vital. 50% of uninstalls occur due to inactivity; 90% of users stay if they engage weekly. Focus on quality users and measurable KPIs.
The article argues that the traditional split between brand and performance marketing is outdated. Consumers experience a fluid journey, so marketers must adopt a 'full-funnel' approach, blending both strategies—'brandformance.' TikTok provides tools for targeting, creative, automation, and measurement to execute this. Key insights include using interest-based targeting, Search Ads, creator content, and incrementality testing. The piece emphasizes that brands like Steve Madden succeeded by combining awareness and conversion tactics, proving that integration drives better ROI than siloed efforts.
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%,...
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...