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。
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.
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.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
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.
Analysis of 2022 World Cup mobile data reveals that the tournament's largest engagement window occurs early, with sports entertainment installs spiking 189% and sports news 204% on November 22. Engagement revolves around national team matches, with significant spikes from non-participating markets like China (+1,294% sports entertainment installs). For 2026, brands must adapt in real-time to shifting attention across matches and regions. Adjust's AI-powered attribution and analytics provide the visibility needed to capitalize on these global events.
Instagram deep links suffer from the platform's walled garden, breaking standard links and preventing attribution. AppsFlyer OneLink technology bridges this gap via smart landing pages, enabling proper routing and attribution for bio, Stories, and DM placements. This turns Instagram from a black box into a measurable growth channel, crucial for scaling influencer programs and optimizing spend.
Mobile performance marketing succeeded by building a signal infrastructure—independent attribution, fraud protection, and structured postbacks—that fed optimization-grade data to ad platforms. Web measurement has lagged, relying on fragmented, platform-reported metrics. As AI-driven campaign optimization becomes standard, bad signals amplify errors. AppsFlyer’s Web Performance Measurement brings mobile-grade signals to web: independent attribution, server-to-server postbacks, cross-platform closed loops, and unified cost/revenue measurement. For ad ops decision-makers, this means one truth source, actionable optimization signals across networks, and complete omnichannel ROAS visibility—enabling AI to compound advantage, not error.
CTV has become performance-ready for app marketers. Recent acquisitions (Fox/Roku, Walmart/Vibe) signal a shift to self-serve, measurable channels. Marketers can reuse existing UA creative instead of producing TV ads. QR codes drive direct response, but halo effects often matter more. Start with small, additive test budgets and measure assists/incrementality to understand true impact. CTV offers a way to find incremental users and diversify beyond paid social.
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...