Back-to-school marketing on Facebook in the UK should focus on mums, who represent 75% of those discussing the topic, with 42% being mothers. Additionally, 20% of conversations are among university-age adults (18-24). Discussions begin in early August and peak in the last two weeks.
Key products include clothing, especially shoes, blazers, and school uniforms. Marketers should offer discounts on school supplies, clothing, and technology like laptops, phones, and tablets for parents. For university students, promote bedding, furniture, appliances, tech, and healthy on-the-go food.
Campaigns should launch early to capture attention.
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.
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%).
Retail media networks report ROAS using different methodologies, causing up to 63% fluctuation across networks for the same campaign. This isn't a data quality issue but a structural one. Brands using multiple networks face a fragmentation tax where each network is its own source of truth, and budget decisions based on these irreconcilable figures are misleading. Independent measurement, applying the same attribution logic across all networks, is needed to reconcile data and enable confident cross-channel decisions. The signal infrastructure for this already exists from mobile measurement.
Early campaign metrics can mislead because they capture high-intent users first, while long-term performance depends on broader audiences and delayed monetization. Learning phases, monetization lag, and incomplete data make early ROAS unreliable. Ad ops teams should evaluate multiple completed cohorts and align optimization windows with conversion events to distinguish genuine trends from initial volatility. Sustainable scaling requires balancing early signals with patience for meaningful patterns to emerge.
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.
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.
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