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.
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.
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.
Mobile CPI and app store fees are eroding ROAS, making web gaming a viable acquisition channel. Full Unity-to-HTML5 ports now deliver 30-50% lower CAC and avoid 15-30% store revenue cuts via web payments. Measurement parity is here: AppsFlyer enables independent attribution, conversion signals, and unified reporting. Retention can improve; one strategy title jumped from 6-7 minutes mobile to 70+ minutes web. Best fit: deep RPG, strategy, puzzle, story games, not hypercasual. Action: audit catalog, pilot web ports, link accounts cross-platform, and use owned media to drive high-intent web users.
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