Sensor Tower《2026年网络生态报告》揭示AI正在重塑互联网用户发现与交互模式。2025年,AI助手流量同比增长86%,ChatGPT单年新增超600亿访问量,成为全球第六大网站;Gemini、Claude、DeepSeek等均跻身增长最快网站前列。这一趋势直接冲击传统信息类网站——新闻、教育类目访问量出现下滑,用户开始依赖AI驱动的信息聚合,而非跨站直接浏览。
从设备行为看,2025年移动端贡献47.6%的访问量,并在2026年Q1首次突破50%大关,增长主要由印度、印尼等移动优先市场拉动。然而,桌面端仍占据全球网络使用时长70%以上,尤其在生产力、研究和长内容消费场景中不可或缺,垂类广告主需权衡移动获客与桌面深度转化的分配。同时,跨平台AI使用率自2024年初至2025年末翻倍,用户逐步融合浏览器与移动端AI原生体验。
在发现入口的争夺战中,搜索与社交媒体仍主导互联网访问——2025年合计贡献超2.4万亿次访问,但使用时长均出现同比下滑(社交-1%、搜索-7%),表明AI正从传统平台分流用户关注。值得关注的是,Amazon内置AI助手Rufus用户的转化率接近普通用户的两倍,而AI驱动的旅游类网站访问量从2024年Q1的100万飙升至2026年Q1的300万。尽管AI流量目前占比不足1%,但其对零售、旅游等垂直行业的增量提效已初显成效。
对于广告技术行业,AI作为新发现层对用户获取(UA)策略、归因分析和广告变现模式影响深远。广告主需重新评估CPI和ROAS模型——AI中断了传统点击-访问-转化的线性路径,使MMP(如Adjust、SKAN等)的归因面临挑战。同时,Alphabet与Meta仍维持寡头格局:Google 2025年月均True Audience达29亿用户。在AI驱动的增量流量中,如何设计跨设备、跨平台的投放策略以实现LTV最大化,将成为未来两年行业核心命题。
综上所述,AI并非替代现有网络生态,而是以“新发现层”角色与搜索、社交共存。广告主应积极测试AI渠道的UA效率,关注跨屏行为数据整合,并利用AI工具优化广告素材与动态出价。Sensor Tower报告全文涵盖20余个市场的交互式数据,建议下载以获取更细颗粒度的趋势洞察。
值得关注的是,AI助手在2025年从实验性工具跃升为核心网络行为,流量同比增长86%,这标志着用户获取路径正在发生结构性变化。尽管搜索和社交仍是访问主体,但两者时间花费已现下滑,而AI带来的转化率提升(如Amazon Rufus用户转化率近双倍)暗示其可能成为高价值流量入口。此外,移动端访问占比首超50%但桌面端仍贡献70%以上时长,凸显跨设备行为碎片化对归因和创意策略的挑战。
广告投放从业者需警惕,传统渠道的注意力份额正被AI侵蚀,但AI流量规模尚小,短期内应将其视为补充而非替代。
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.
India's mobile app market hit record revenue of $345M in Q2 2026, with non-gaming up 50% YoY. For ad ops, key opportunities lie in short drama apps (Story TV tripled ad spend), AI subscriptions, and ad-supported games like arrow puzzles, which generate over 11% of global ad revenue from India. Gaming revenue grew 10% YoY, outperforming global decline. Hypercasual game ad revenue rose 180% QoQ. India is transitioning from an acquisition market to a monetization powerhouse, offering scalable ad inventory across entertainment, local commerce, and casual gaming.
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.
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.
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.
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.
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.
Q2 2026 saw US digital ad spend hit $49B (+15% YoY), fueled by a Shopping category rebound (+13% YoY) after tariff uncertainty. Major retail advertisers like The Home Depot and Dick's Sporting Goods leveraged the FIFA World Cup, boosting spend 66% and 93% QoQ. Meanwhile, ChatGPT emerged as a key ad channel, with shopping advertisers taking 31% of its impressions. Global growth shifted from the US (-3%) to China and Europe. For ad ops, prioritize event-driven retail campaigns and test conversational ad units on GenAI platforms.
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