The report highlights seismic shifts in web traffic and discovery. AI assistants are the fastest-growing web category, with traffic up 86% YoY and ChatGPT alone adding 60B+ visits to become the #6 site globally. This growth is eroding traditional informational categories like News and Education, as users rely on AI synthesis.
Meanwhile, mobile overtook desktop for the first time in Q1 2026, accounting for 50%+ of visits, though desktop still commands 70%+ of total time spent. The duopoly of Google and Meta persists, with combined True Audience of 2.9B monthly users. However, AI is emerging as a new discovery layer: cross-platform AI usage doubled, and AI-driven referrals are climbing across retail and travel.
Key data points: Amazon Rufus users convert nearly 2x more; AI traffic to travel booking sites tripled from Q1 2024 to Q1 2026. For ad ops, the takeaways are clear: invest in AI-compatible ad formats, track cross-platform user journeys, and prepare for fragmented attention between search, social, and AI. The report also notes that while AI traffic remains <1% of total web traffic, its high conversion rates and rapid growth signal it will become a critical channel.
Ad ops teams should test AI-specific placements and measure attribution beyond last-click.
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.
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.
The article highlights three key consumer app trends for 2026: social features becoming retention drivers (e.g., Spotify messaging, Tinder Double Date), advanced retention mechanics from gaming (e.g., streaks, collections), and AI as an embedded utility (e.g., Gauth's Study Converter). For ad ops, these trends offer new hooks for acquisition and retention campaigns, such as aligning with social competition or event-based LiveOps. Marketers should shift from generic messaging to use-case clarity for AI features.
Sensor Tower's Web Insights now covers 4M websites and 12M paths across 56 countries. Three new reports help marketers track user journeys (Traffic Flow), AI platform usage (LLM Market Share), and brand visibility in LLM conversations (Gen AI Brand Mentions). With AI referrals growing, these tools enable smarter traffic acquisition, benchmarking, and content optimization. Spike Analysis automatically identifies traffic anomalies. For ad ops, these features provide actionable data on referral networks, competitive ecosystem, and AI-driven discovery.
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%).
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.
IPL 2026 drove significant cross-platform engagement for JioHotstar, with downloads up 25% PoP, DAU up 41%, and sessions up 60%. Tadka launch within app shows strategy to extend engagement beyond live sports. Instamart leveraged IPL with record ad impressions and 44% open rate. super.money downloads nearly doubled, with paid-channel installs rising to 25% and ad impressions surging 5.5x. Brands should invest in IPL-driven moments to capture high-intent, mobile-first audiences.
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