Liftoff(Vungle)Liftoff(Vungle)

Madison Avenue is missing out on in-app advertising

By Casie Jordan | July 15·2026年7月15日·4 分钟阅读

摘要

文章指出,尽管移动设备占据用户大部分时间且主要消耗在App内,但麦迪逊大道(广告业)仍对in-app广告存在误判,导致预算分配滞后。核心障碍源于三大迷思:

迷思一:in-app库存质量低。过去长尾问题确实存在,但近年来ChatGPT、纽约时报游戏等优质App引入广告,且AI与深度学习技术已能精准筛选高品质库存,SSP与广告交易平台也提升了准入标准。广告主现在拥有足够的工具过滤低质流量,认知需要更新。

迷思二:in-app广告格式差。历史上in-app确实以激进变现手段如强制互动、广告过载著称,但用户行为已倒逼行业变革。当前原生定制、互动格式及“直播活动”等体验更注重用户沉浸,而非打扰。结合后ATT时代的上下文信号与AI优化,广告主可同时实现创意吸引力与效果ROI。

迷思三:通过Meta、TikTok等巨头即可覆盖in-app。实际上,开放生态中存在海量优质App,涵盖游戏、工具、流媒体、金融、AI聊天等,拥有高忠诚度受众。忽视这个长尾意味着丢失大量用户注意力。品牌应效仿CTV和播客策略,在开放生态中多元化触达。

文章最后呼吁:消费者行为已全面迁移,广告预算必须跟进。品牌和代理商应克服过时认知,将in-app作为媒体组合的核心驱动力,利用当前的技术与生态进化实现增量提效。

分析师点评

这篇文章的价值在于它系统性地回应了行业中长期存在的认知偏差,尤其是在隐私政策收紧(如ATT)之后,广告主对in-app的质疑曾达到顶峰。值得关注的是,文章指出AI与深度学习的应用已改变了in-app库存筛选与出价逻辑,这与当今广告技术从‘规模导向’转向‘价值导向’的趋势一致。对于UA和变现团队而言,一个关键的行业信号是:in-app不再仅仅是效果渠道,一批高质量原生环境(如订阅制游戏的广告层、实用工具的内置推广)正在出现,其用户粘性和信任度甚至超过开放网页。

这要求评估媒体价值时,从传统的‘流量质量’框架转向‘场景质量’框架。此外,文章对‘只通过Big Tech投in-app’的批评具有现实意义——许多从业者忽视了开放生态中长尾应用的细分价值,而这部分恰恰是程序化投放中差异化ROI的来源。总而言之,这不是一篇‘呼吁加码’的文章,而是一份基于生态演变的理性评估,值得在预算分配时参考。

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