文章指出,尽管移动设备占据用户大部分时间且主要消耗在App内,但麦迪逊大道(广告业)仍对in-app广告存在误判,导致预算分配滞后。核心障碍源于三大迷思:
迷思一:in-app库存质量低。过去长尾问题确实存在,但近年来ChatGPT、纽约时报游戏等优质App引入广告,且AI与深度学习技术已能精准筛选高品质库存,SSP与广告交易平台也提升了准入标准。广告主现在拥有足够的工具过滤低质流量,认知需要更新。
迷思二:in-app广告格式差。历史上in-app确实以激进变现手段如强制互动、广告过载著称,但用户行为已倒逼行业变革。当前原生定制、互动格式及“直播活动”等体验更注重用户沉浸,而非打扰。结合后ATT时代的上下文信号与AI优化,广告主可同时实现创意吸引力与效果ROI。
迷思三:通过Meta、TikTok等巨头即可覆盖in-app。实际上,开放生态中存在海量优质App,涵盖游戏、工具、流媒体、金融、AI聊天等,拥有高忠诚度受众。忽视这个长尾意味着丢失大量用户注意力。品牌应效仿CTV和播客策略,在开放生态中多元化触达。
文章最后呼吁:消费者行为已全面迁移,广告预算必须跟进。品牌和代理商应克服过时认知,将in-app作为媒体组合的核心驱动力,利用当前的技术与生态进化实现增量提效。
这篇文章的价值在于它系统性地回应了行业中长期存在的认知偏差,尤其是在隐私政策收紧(如ATT)之后,广告主对in-app的质疑曾达到顶峰。值得关注的是,文章指出AI与深度学习的应用已改变了in-app库存筛选与出价逻辑,这与当今广告技术从‘规模导向’转向‘价值导向’的趋势一致。对于UA和变现团队而言,一个关键的行业信号是:in-app不再仅仅是效果渠道,一批高质量原生环境(如订阅制游戏的广告层、实用工具的内置推广)正在出现,其用户粘性和信任度甚至超过开放网页。
这要求评估媒体价值时,从传统的‘流量质量’框架转向‘场景质量’框架。此外,文章对‘只通过Big Tech投in-app’的批评具有现实意义——许多从业者忽视了开放生态中长尾应用的细分价值,而这部分恰恰是程序化投放中差异化ROI的来源。总而言之,这不是一篇‘呼吁加码’的文章,而是一份基于生态演变的理性评估,值得在预算分配时参考。
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
Customer lifetime value (LTV) is a critical long-term metric for app success, but most marketers measure it per-device, understating true value by 2-5x. Cross-platform LTV stitches together web, app, CTV, and more, attributing all revenue back to the original acquisition campaign. Key drivers include retention (5% increase boosts profits up to 95%), purchase frequency, average order value, and acquisition quality. To improve LTV, focus on retention, cross-platform adoption, and optimizing acquisition by predicted LTV rather than CPI.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
European finance app installs hit 960M in 2025 but grew only 0.4%. BNPL apps grew 40% while crypto fell 35%, signaling a shift to utility. Neobanks win acquisition; traditional banks win retention (1.5-2x Day 30 rates). Web-to-app drives 41.8% of conversions but most brands can't measure the handoff. Nearly 1 in 2 investment app installs in Western Europe is fraudulent, distorting CPI and ROAS. Winning brands prioritize engagement, fraud detection, and cross-platform measurement.
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.
Mobile app measurement has solved the single-channel problems that plague other digital channels—independent attribution (neutral third-party verification), privacy regulation (survived iOS 14.5 with new methods), signal governance (provenance, chain of custody), fraud detection (15% fraudulent installs, 275% fake installs in some channels), and cross-platform fragmentation. These capabilities, built under duress, now form the foundation for omnichannel measurement. Ad ops must apply mobile-grade rigor per channel first, then connect via CUID, unified attribution logic, and real-time data governance to build a trusted cross-platform framework.
iOS remarketing now captures 92% of eCommerce ad spend, up from 77% in 2025. Android re-engagement drives 231% conversion uplift (US). Most brands underreport app-influenced revenue, capturing <33%. The fix is expanding measurement to web, in-store, and LTV lift. Fraud is rising; monitor traffic quality. Action: measure across channels, not just in-app.
User testing reveals the gap between designer intent and user experience, uncovering silent churn causes like unclear onboarding or passive ad chains. Analytics show what happens; user testing explains why. Small tests (5-8 participants) can identify friction points, and improving retention by 10% can significantly boost revenue without changing monetization. For ad ops, this means better user engagement reduces wasted ad spend and increases lifetime value.
世界杯观众在电视和手机间多屏切换,移动端成为重要的“第二屏幕”。Liftoff数据显示,赛事期间体育类应用的广告展示量增长90%,独立用户增长40%,BeSoccer的DAU增长63%。品牌应打破传统电视单一投放思维,将移动端纳入大型赛事营...
文章反驳了“所有DSP库存相同、选择无关紧要”的观点,指出DSP的模型智能才是差异化核心。同样的曝光,不同DSP因模型不同会产生完全不同的出价与决策,从而影响投放效果。建议广告主采用多DSP组合策略,通过模型互补实现增量提效。
文章指出,在AI时代,创意品味而非AI工具本身才是移动营销团队的真正壁垒。多数团队测试不足,顶尖广告主每周发布超过50个创意变体,但高预算团队在创意数量上具有结构性优势。创意总监角色正从执行者演变为策略与品味的掌控者,而“人工制作”的定义已...
2025年金融与加密应用的用户获取支出增长47%,再营销支出增长115%,行业重心从获客转向全生命周期运营。该报告结合Liftoff Accelerate投放数据与AppsFlyer留存归因,揭示了H2预算加速、iOS与Android分化、...
2026年消费级App趋势显示,社交功能从可选附加升级为留存核心驱动,通过连接、协作与竞争强化用户粘性。高级留存机制如限时活动、收集系统与进度体系正跨品类迁移,为营销人员提供原生再参与触点与投放窗口。AI应用从概念炒作转向嵌入式实用工具,精...
Liftoff的PEPr项目通过结构化实验框架,帮助广告主在高复杂度市场中区分真实效果与短期波动,优先测试可规模化且与商业目标一致的高影响力策略。项目分为“发现”和“扩展”两类,前者验证新假设,后者基于已验证成果实现增量提效,确保长期积累而...