文章核心观点是,到2026年,营销人员必须从“繁忙工作”转向高阶策略,利用AI工具提升效率。具体而言,AI Max for Search通过搜索词扩展和动态文本定制功能,在不颠覆现有广告系列结构的前提下,捕捉手动设置无法覆盖的增量曝光,从而显著提升投放效果。
另一方面,Demand Gen策略打通社交与搜索间的壁垒,借助跨平台数据在YouTube等高互动场景中精准触达用户,通过设定明确目标、优化出价方式(如目标CPC)来提升广告变现效率。该策略强调在用户高度参与的时刻与其建立连接,实现用户获取的持续增长。
文章建议营销人员尽早采纳AI驱动的归因分析和投放优化工具,以应对不断演变的搜索行为,并利用数据驱动的跨平台策略提升ROAS。整体上,文章提供了从执行层到策略层的体系化转型路径,强调通过AI实现增量提效与用户生命周期价值的最大化。
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.
AI Max is moving out of beta, offering improved performance with an average 7% more conversions or conversion value at similar CPA/ROAS when using the full feature suite. Starting in September, campaigns using Dynamic Search Ads (DSA), automatically created assets (ACA), and campaign-level broad match will automatically upgrade to AI Max. Advertisers are encouraged to voluntarily upgrade now to maintain control and leverage new features like brand, location controls, and text guidelines. The transition ensures performance stability with legacy settings mirrored. Ad ops decision-makers should prioritize upgrading to maximize results and prepare for the new era of Search.
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.
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.
AI is reshaping digital advertising as platforms like ChatGPT and Gemini become new discovery channels. Key findings: ChatGPT ad impressions surged 7x since March 2026, and AI-related ad spend tripled in Q1 2026. Early advertisers are concentrated in Shopping, Software, Travel, and Financial Services. AI assistants drive referral traffic to retailers, with Walmart and Target exceeding 1.5% GenAI share. Competition among AI platforms is intensifying, with Claude gaining professional users. For ad ops, integrating AI into media plans and optimizing for AI-driven discovery is critical.
Google Ads 在全球推出视频广告活动组的 YouTube 触达和频次优化功能,允许广告主跨多个视频广告活动协调触达与频次,简化管理流程并提升投放效果。据 Google Meridian MMM 研究,最佳频次为每周 2.7 次,可带...
谷歌在广告产品中新增AI透明度标识,通过My Ad Center面板显示广告是否由AI生成,同时为广告主提供自动化披露工具和手动标示控件。此举旨在帮助用户理解广告来源,并引导广告主适应行业标准。该功能基于已有的SynthID水印和选举广告合...
YouTube推出新功能,助力品牌广告效果衡量与优化。Shorts广告观看超10秒并点赞可提升品牌考虑度15%和好感度20%,Attributed Branded Searches显示每次品牌搜索平均带来31美元销售增长。品牌应积极采用这些...
Google 扩展 Demand Gen 能力,新增视频尺寸自动转换、Gemini 驱动的创意建议和 Web to App 归因测量。72% 的 YouTube 增量转化来自新客户,新功能旨在帮助广告主提升广告效果和新用户获取。这些更新让 ...
YouTube在戛纳国际创意节宣布推出基于Gemini的AI洞察工具,助力品牌与代理商把握创作者营销新机遇。新工具包括美国市场趋势深度分析、品牌脉冲指标整合、创作者数据API接口,以及利用Gemini优化Demand Gen广告系列的创意建...
Google宣布将金融服务广告主验证计划扩展至欧盟和欧洲经济区所有成员国,新增24个国家,以提升广告信任度。该计划要求金融广告主证明其受国家监管机构授权,此前已在全球阻止或移除3.278亿条非法金融广告。广告主需在30天内完成验证,否则相关...