文章指出,2026年广告主应重新重视开放互联网(Open Internet)。过去,围墙花园(如Meta、YouTube、TikTok等)因简单、可预测和高效而备受青睐,但如今其广告成本(CPM、CPC)因需求旺盛而持续攀升,尤其在预算收紧的环境下,开放互联网凭借更低成本和灵活竞价成为性价比更高的选择。数据显示,美国消费者59%的在线时间花在开放互联网,但广告支出仅占48%,存在显著价值洼地。
生成式AI(GenAI)正在消除开放互联网的创意与运营复杂性。AI可快速生成多语言、多格式的广告素材,甚至制作高质量短视频(如可口可乐圣诞广告),大幅降低创意生产成本。这使得过去因高创意门槛而避开开放互联网的团队,如今能以更低成本、更高效率进行广告投放。
零售媒体(Commerce Media)的兴起进一步增强了开放互联网的价值。许多大型零售商的自有库存已供不应求,开始通过DSP购买其他发布商的流量,这为开放互联网带来高意向受众和增量收入。同时,DSP的开放化使广告主能跨越自家流量池,在更广泛的发布商网络中实现增长。
自动化和AI驱动的跨渠道优化是另一大趋势。AI能自动完成预算分配、竞价调整、受众细分、报告生成等任务,减少人工干预。通过实时分析跨发布商、格式和设备的性能信号,广告主可动态分配预算至边际回报最高的领域,这种智能优化能力正从围墙花园向开放互联网转移。
综上所述,2026年开放互联网已不再是碎片化的市场,而是一个融合高效、灵活与规模化的互联生态。广告主应将其作为核心策略,利用AI和零售媒体降低创意与运营成本,实现精准投放和持续提效。
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.
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.
Ramadan drives high mobile engagement in the Gulf, but success hinges on pre-Ramadan acquisition for higher LTV and remarketing during the month. eCommerce peaks early; finance responds to mature market triggers; travel converts at Eid. Post-Ramadan, focus on retention over acquisition to stabilize. AI tools are operational but measurement lags. Key takeaway: plan early, leverage remarketing, and phase strategies by period.
In 2025, non-game apps surpassed games in revenue, with total in-app spending hitting $167B. APAC publishers drove a $2.58B increase in gaming revenue. Short Drama and AI Assistant categories saw explosive growth, while Blinkit, Shopee, and DeepSeek led their sectors. For ad ops, this signals shifting user attention toward lifestyle, commerce, and AI tools, creating new inventory opportunities beyond gaming.
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.
Web-to-app continuity is often broken during the handoff between mobile web and app, causing significant revenue loss that goes undetected. Brands like AirAsia, Tata CLiQ, and Apartment List improved conversions by using AppsFlyer's Deep Linking Suite to preserve customer intent and context. Fixing this hidden leak turns fragile transitions into predictable growth.
Remarketing measurement relying solely on clicks misses view-through attributions, cross-platform journeys, and fraud, leading to misallocated budget and eroded efficiency. AppsFlyer advocates for independent, cross-channel, fraud-protected signals to unify attribution, deduplicate claims, and provide real-time postbacks for better optimization. Key data points include 50% higher paying user share for shopping apps running remarketing, 20% higher ROAS for gaming teams with unified attribution, and vulnerability to click flooding. Actionable takeaway: invest in a robust measurement foundation to capture true campaign influence and scale efficiently.
The article argues that the traditional split between brand and performance marketing is outdated. Consumers experience a fluid journey, so marketers must adopt a 'full-funnel' approach, blending both strategies—'brandformance.' TikTok provides tools for targeting, creative, automation, and measurement to execute this. Key insights include using interest-based targeting, Search Ads, creator content, and incrementality testing. The piece emphasizes that brands like Steve Madden succeeded by combining awareness and conversion tactics, proving that integration drives better ROI than siloed efforts.
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