Google 宣布为搜索广告推出 AI Max 功能套件,这是一套集成了目标拓展与创意优化的工具,旨在帮助广告主利用 AI 挖掘新的搜索意图并提升广告相关性。该套件包括搜索词匹配(结合广泛匹配和无关键词技术)、文字自定义(基于落地页和关键词生成标题和描述)以及最终 URL 扩展等能力,让广告主能够触达此前无法覆盖的高相关性搜索查询。
测试数据显示,启用 AI Max 的搜索广告活动平均可获得 14% 的转化量或转化价值提升,同时在类似 CPA/ROAS 水平下实现增量。对于仍主要使用精确和词组匹配的广告主,典型提升幅度更高达 27%。美容品牌 L'Oréal 通过 AI Max 发现新的搜索机会,转化率提升 2 倍,单次转化成本降低 31%;澳大利亚 utility 连接服务公司 MyConnect 在已有智能出价和广泛匹配的基础上额外获得 16% 的线索增长,CPA 降低 13%,其中净新增查询带来的转化量增长 30%。
AI Max 还引入了更精细的控制选项,以弥补自动化可能带来的精度损失。新增“关注地理意图”功能可在广告组层面基于用户的地理意图进行投放;品牌控制支持在广告系列和广告组层级指定或排除特定品牌。同时,新的 URL 参数让广告主能够跨所有匹配类型查看搜索词,从而优化落地页并保持详细追踪。报告方面,搜索词报告将展示标题和 URL,资产报告将增加花费和转化等 KPI 指标,并支持资产移除和 URL 控制。
这些功能将从本月下旬起向全球广告主开放 beta 测试。Google 鼓励广告主将 AI Max 中的所有功能结合使用,以精准捕捉新意图并向用户展示相关广告内容。更多详情将在 5 月 21 日的 Google Marketing Live 上公布。
LLMs like ChatGPT and Gemini are reshaping mobile app discovery, with traditional search volume expected to decline 25% by 2026. These AI platforms act as answer engines, delivering direct app recommendations to users. For ad ops, this shift requires optimizing for LLM visibility through structured content and reputation management. While native ad formats are in early testing on platforms like Perplexity and Gemini, early adoption can secure high-intent placements. Marketers should track AI-driven traffic and align discovery strategies across ASO, SEO, and LLMs to stay competitive in an AI-first environment.
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
AI personalization is now essential for mobile marketing, with 71% of consumers expecting tailored experiences. This article outlines how AI enhances audience intelligence, creative personalization via DCO and GenAI, engagement timing, and measurement. Marketers should start small with focused A/B tests, prioritize user value, and collaborate across UA, CRM, and product. Key challenges include privacy, overpersonalization, and model bias. Adjust's Growth Copilot offers AI-driven analytics to streamline decision-making.
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.
Influencer marketing drives app growth by building trust and authenticity beyond traditional UA. Budgeting should start with target markets, CPM benchmarks, and a 25% uplift in daily organic installs. Choose creators based on data: audience demographics, recent views, and content alignment. Measure performance with granular attribution links (e.g., AppsFlyer OneLink) to track installs, conversions, and ROI. Avoid vanity metrics; focus on CVR, retention, and long-tail effects. Start with small campaigns to gather benchmarks before scaling.
Meta Advantage+ suite uses AI to automate ads, reducing cost per result by 5% with opportunity score recommendations. End-to-end tools like Advantage+ sales, app, and leads campaigns lower CPA by up to 10%. Single-step solutions include Advantage+ audience (7% lower CPA), placements, campaign budget (4.6% CPA decrease), creative (11% higher CTR), and destination (29% incremental ROAS with Shop ads). For every dollar spent, advertisers generate $4.52 in revenue, a 22% increase over standard campaigns.
AI Overviews boosts Google Search usage by 10%, improving user satisfaction and commercial queries. Ads in AI Overviews expand to desktop in the US, with global rollout planned.
AI is now mainstream, with ChatGPT reaching 1B downloads and user prompts expanding beyond work into lifestyle categories like Health & Wellness. Apps across verticals (Health, Finance, Education) must integrate niche AI features or risk replacement. Competitors can leverage AI ad spend trends and App Store optimization to capture casual audiences.
假日购物季中,消费者在YouTube上寻求真实视频体验,94%的用户观看相关视频后采取进一步购买行动。通过Demand Gen广告新增的Checkout Links(现覆盖9个新市场)可直接引导用户至优化结算页,平均提升转化率6%。升级的t...
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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...