GoogleGoogle

Here's how AI is rebuilding the foundation of modern marketing.

2026年5月28日·3 分钟阅读

摘要

Google Ads Decoded播客第一季终集在2026年Google Marketing Live现场录制,聚焦AI如何重塑现代营销基础。广告与商务副总裁兼总经理Vidhya Srinivasan率先登台,分享了Gemini模型如何赋能Search和YouTube广告业务,并强调AI时代成功所需的团队思维——快速迭代与深度整合AI能力。

在圆桌讨论环节,AI搜索产品高级总监Chris Monkman指出,广告主需重新构思广告以适配AI驱动的搜索体验,例如通过自然语言交互和意图理解优化投放策略。测量方面,全球产品解决方案总经理Christine Turner提出,数据强度和新的度量指标可改善性能归因,帮助广告主精准衡量用户获取成本和LTV。

创意产品方面,广告平台高级总监Josh Moser介绍了Asset Studio集成高级AI模型后的升级功能,允许广告主规模化生成差异化素材,并结合ROAS目标动态优化资产组合。这意味着广告技术行业正从手动创意转向AI驱动的自动化生产,以应对日益复杂的用户触达需求。

整体而言,Google此次发布的核心实践意义在于,广告主需拥抱AI工具实现从创意生成、投放策略到归因分析的完整闭环,从而在SKAN等隐私框架下提升增量提效和广告变现效率。

分析师点评

值得关注的是,Google在2026年Marketing Live上集中展示了AI对广告全链路的渗透,从搜索体验到创意生成再到测量体系。Vidhya Srinivasan提到的Gemini模型在搜索和YouTube的落地,意味着广告主需重新理解用户意图匹配逻辑;Chris Monkman强调的"AI驱动搜索广告重构",指向传统关键词定位可能被动态语义交互取代。同时,Josh Moser揭示的Asset Studio内嵌高级AI模型,使规模化创意生产成为可能,这对依赖素材迭代的UA策略是重要信号。

而Christine Turner提出的"数据强度"概念,暗示归因和效果度量将向更实时、更注重一致性演进。这些趋势要求从业者跳出原有框架,关注AI如何改变广告的发现、表达与衡量方式。

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