Sensor Tower has significantly expanded its Web Insights product, now covering 4 million websites (up sixfold) and 12 million paths across 56+ countries. The core data enhancements improve stability and real-world performance alignment. Three new reports offer critical insights for ad operations: (1) Traffic Flow maps inbound/outbound traffic across specific websites, enabling identification of high-value referral partnerships and competitor benchmarking.
Filters allow analysis by industry or geography. (2) LLM Market Share reveals relative usage of AI platforms like ChatGPT, Claude, and Gemini, tracking metrics such as chats, users, and messages per chat. This helps brands adapt from SEO to generative engine optimization (GEO) as AI referrals grow.
(3) Gen AI Brand Mentions tracks how often brands appear in LLM conversations, providing AI share of voice across markets and competitive comparisons. Additionally, Spike Analysis uses AI to automatically detect and explain traffic anomalies. For ad ops decision-makers, these tools offer actionable data to refine traffic acquisition strategies, identify synergistic partners, benchmark against competitors, and optimize for AI-driven discovery.
The key takeaway: as consumer attention shifts to AI interfaces, brands must adopt new analytics to stay competitive.
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.
TikTok Market Scope is a full-funnel analytics tool integrating paid, organic, and branded data to map audience journeys from awareness to conversion. Key updates include dual-funnel views for TikTok Shop and web, upgraded Brand Perception with tentpole planning, and IP-level insights for theatrical brands. Data shows consideration audiences drive 1.8x more store visits, 1.5x higher sales response, and 4.2x higher incremental sales than awareness audiences. Actionable for ad ops: leverage Brand Consideration ads to scale mid-funnel audiences and use audience tags for precision targeting.
AI assistants like ChatGPT, Gemini, and DeepSeek are reshaping web discovery, with traffic surging 86% YoY. Mobile now accounts for over half of global visits, yet desktop dominates engagement. Search and social remain dominant discovery channels, but AI users convert at higher rates (e.g., Amazon Rufus shoppers convert nearly 2x). For ad ops, optimizing for AI-driven traffic and cross-platform user behavior is critical.
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.
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.
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.
AI is reshaping consumer behavior, with 80% of Google searches ending without a click and half of consumers using AI for product research. This disrupts traditional channels like search (CPC up 10-25%) and affiliate marketing (revenues down 7%). Meanwhile, mobile apps and CTV offer stable, high-engagement alternatives. Advertisers should diversify away from disrupted channels, targeting the independent app ecosystem where Day 30 ROAS can be 116% higher. Key metrics: organic direct traffic share (target >51%) and disrupted channel spend share (target <34%).
Mobile UX is a commercial imperative: 90% of users abandon apps due to poor performance. For ad ops, UX directly impacts LTV and conversion—from onboarding to ad placement. Key metrics: retention, time-to-value, task completion. Actionable: simplify navigation, optimize load times, and align consent prompts (e.g., ATT) with context. UX improvements cascade across acquisition, retention, and revenue.
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