MAMA San Francisco 2026以‘Where Do We Go From Here?’为主题,聚焦AI对移动营销领域的颠覆性影响。AppsFlyer高管指出,在AI代理开始自主分配预算的背景下,测量层的完整性成为关键——它决定了品牌是在规模化智能还是放大错误。KFC案例展示了App作为经济基础设施的价值:通过衡量直接收入、影响收入、运营节省和LTV提升,其影响收入可达直接收入的2-4倍,霍尼韦尔也印证了App在客户旅程中的核心地位。
测量范式正在进化,领先者通过组合执行优化、增量实验和长期评估模型(如MMM)获得优势。Snap的‘三E’框架强调单一方法无法完整叙事,AppsFlyer数据显示30%的广告活动被最后点击模型显著低估(最高达10倍)。Moloco与BCG的联合研究发现,三分之一美国成年人通过个人AI代理发现品牌,80%的AI搜索无点击,这迫使品牌将App作为自主掌控的第一方数据载体。
AI的实际价值体现在消除‘知道’与‘做到’之间的鸿沟。Bobby Sayers在14天内用Cursor、AppsFlyer MCP等AI工具构建并成功变现了一款游戏,展现了AI加速落地的能力。其他实践案例包括自然语言查询替代SQL、创意自动质检、异常事件自动告警等。与会者一致认为,AI应聚焦于消除琐碎工作,而非作为演示噱头。
营销人员的角色正快速演变。前麦当劳CDO Atif Rafiq呼吁从业者‘停止交付任务,开始拥有建议权’,强调未来工作基于端到端推荐能力。体育营销板块揭示了借势文化高光时刻的策略——如TickPick利用冰球金牌潮带动门票销售,Reddit在超级碗当日有2万个社区讨论。此外,Lakshmi Rengarajan关于‘第一印象’的跨领域研究提醒与会者,优化商业关系时需警惕过度消费主义思维。
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.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
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.
At MAU 2026, the industry agreed that attention, not production, is the bottleneck. Cross-platform web-to-app attribution is now achievable with AppsFlyer's mobile-grade measurement extending to web, giving ad ops a unified view. AI is in production, with Square's team shipping six live workflows. Web-to-app is the most efficient top-of-funnel for app businesses, and retention overtakes acquisition. Ad ops must prioritize clean signal layers and incrementality testing over single-metric attribution.
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.
AI amplifies marketing's fragmentation tax—bad signals across platforms, channels, and tools produce faster wrong decisions. 62% of marketers cite data quality as top barrier to AI success. The fix is not more AI tools but governed signals, AI-ready data architecture (traceable, validated, privacy-compliant), and mobile-grade measurement applied universally. CMOs must prioritize foundation over hype to turn AI from liability into compounding advantage.
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.
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.
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...
作者在14天内利用AI工具从零构建、发布并推广一款移动游戏,最终获得5,563次安装,eCPI为0.39美元,总花费约2,200美元。MCP(模型上下文协议)成为项目中最关键的AI工具,尤其是AppsFlyer MCP与BigQuery M...