MetaMeta

Advertising Week New York 2026: New AI Capabilities to Guide Campaigns and Reach Customers

2026年10月6日·5 分钟阅读

摘要

Meta 在 Advertising Week New York 2026 上宣布多项 AI 广告能力与投放工具更新,整体思路是让广告主与代理商在既有工作场景中,通过 AI 完成从创意生产、campaign 搭建到受众圈选、视频生成与站内成交的全链路提效。其中,今年夏天启动测试的 Ads Creative Studio 开始向更多广告主开放,帮助营销人员理解哪些创意有效及其原因,从而更快地产出新素材。Tinuiti 执行创意总监 Whitney Mortimer 评价称,该工具能按 campaign 目标快速识别高表现创意,把表现洞察转化为可执行的新概念,让代理商测试更聪明、创意保持新鲜并规避广告疲劳。

在 Ads Manager 内部,Meta AI 商业助手的能力进一步加深。数据显示,采用其建议的广告主在相同单次转化成本下,转化量通常比未采用者高出 5%。此次新增功能包括:把 Ads Creative Studio 的创意洞察直接引入助手,使素材表现与投放决策在同一界面联动;强化对业务的记忆与上下文理解,可延续上一季度的测试、季节性规律与既定目标,并正在测试从已有 AI 工具导入策略、品牌语调与规范;同时开始测试 agentic 能力,支持通过对话规划与创建 campaign、生成创意图像与文字、调整定向或修改预算,并提供预览、审批与权限控制以界定可托管与需自持的环节,以及性能监控、周报与预算复盘提醒等周期性任务的排期与告警。此外,Meta 近期推出面向小企业的 Muse,Meta ads MCP Server 也已支持更多 campaign 工作流,Agent 产出的内容会以草稿形式落到 Ads Manager,供人与 Agent 协同编辑并任选一端发布,所有动作均受广告主设定权限与显式审批约束,AdManage.ai、Birch、Blip、Databricks、Innovid、Kochava、Perplexity、Reportei、Snowflake、Triple Whale 等合作方已将该 MCP Server 集成进自有产品。

受众与用户获取层面,AI 驱动的受众发现功能允许品牌广告主与代理商以自然语言描述理想客户,Ads Manager 在数秒内返回最相关的受众集合,营销人员只保留所需的部分,该能力将于今年年底前在 Detailed Targeting 中上线。同时,Customer Lifecycle Strategy 现已向全部广告主开放:投放拉新 campaign 时,广告主可标注为获取新客,系统即给出排除既有客户的建议,无需从零搭建排除逻辑;Meta 还在测试进一步简化的方式,例如通过单一 Audience Label 一次性排除整组既有客户,以提升增量提效的确定性。

生成式 AI 视频方面,由于 Facebook 与 Instagram 上超过 60% 的用户时长花在视频上,Meta 正扩大面向商家的生成式视频工具:Advantage+ creative 中已可基于现有静态素材生成视频,该功能现已全面可用;Ads Creative Studio 支持生成新的视频概念与变体,并提供更换开头钩子、调整音频与片长、添加文字叠加与字幕、替换结尾场景等编辑工具;目录广告主可规模化地把商品图片转为商品视频,符合条件的 beta 广告主可在 Ads Manager 的 Advantage+ creative video generation 与 Commerce Manager 的 product video creator 中使用。今年秋季,Meta 还将扩大智能商品推荐,通过分析广告的图片、文案与落地页识别主推商品,并推荐同一系列或畅销榜中值得搭配的其他商品。

在转化链路末端,Meta 正与零售商合作,让用户无需跳出对话即可完成购买。用户越来越多地在 Meta AI、Muse 与 Meta Business Agent 中询问、比较并决定购买,因此 Meta 与 Shopify 合作,在 Messenger 上的 Meta Business Agent 中测试直接结账体验,用户了解商品后即可下单;今年秋季将开始在 Meta AI 中与 Adyen、PayPal、Shopify 和 Stripe 测试直接结账,使商品在对话中被呈现时即可售卖;Muse 则在既有的 Link by Stripe 与 Shop Pay 之外新增 PayPal 钱包。整体上,这些更新为消费者提供了从发现到成交的更快路径——跳转至网站对应商品、经用户确认完成购买,或直接在 Meta 应用内结账。

分析师点评

值得关注的是,此次更新的重心已从单点生成式素材,转向把 AI 嵌入投放的决策与执行链路。Ads MCP Server 向 Databricks、Snowflake、Innovid、Kochava 等数据与归因侧伙伴开放,意味着部分投放操作可能脱离 Ads Manager 界面,迁入团队既有的数据工作台;而权限与显式审批闸门,则是对代理自动化的可控性回应。竞争层面,Meta 与 Google 在自动化投放上的思路趋同,差异在于 Meta 更强调对话式入口与站内闭环——Shopify、Adyen、PayPal、Stripe 的接入把转化终点从落地页前移到会话内,归因窗口与事件口径随之需要重新对齐。

对 UA 与变现团队而言,权限模型、事件回传与素材版本管理正在成为新的协作边界。

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