Google正在将其Commerce Media套件扩展到品牌和零售商,该套件整合了Search Ads 360、Display & Video 360和Google Ads,提供由Google AI驱动的性能优化,同时给予用户必要的控制和透明度。最新更新已在Beta版中可用,旨在连接零售商和品牌,扩大触达范围。
在测量方面,Roundel成为首个零售媒体网络,允许在Performance Max中通过Search Ads 360测量线上、应用和线下销售数据。此外,Google Ads还支持Search、Shopping和Demand Gen广告活动,为品牌提供更全面的归因分析能力。
对于零售平台和市场,Google Ads改进了自助服务选项,使Shopee、Rakuten和Flipkart等平台能够与品牌共享产品目录,从而提升广告投放的精准度和协作效率。这有助于品牌在零售媒体环境中更有效地管理投放置信和透明度。
为提升站外规模,Google通过Display & Video 360将商务和零售媒体扩展到YouTube,帮助品牌和零售商在视频平台上触达更多潜在用户。同时,Google正在试点产品级测量,使品牌和零售商能够根据产品和品类销售数据评估媒体支出的效果,从而优化投放策略并实现增量提效。
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.
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.
AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlights rapid growth to a billion-dollar run rate, noting 80% of sales occur within 24 hours, proving incrementality. The pixel is standard, comparable to Meta and Google, and Shopify auto-appends data similarly. Foroughi emphasizes that the ad models are young but improving fast, and the web ad market offers massive opportunity. He urges investors to dig deeper and use AI tools to verify claims. The response underscores AppLovin's commitment to innovation and execution.
Retail media networks report ROAS using different methodologies, causing up to 63% fluctuation across networks for the same campaign. This isn't a data quality issue but a structural one. Brands using multiple networks face a fragmentation tax where each network is its own source of truth, and budget decisions based on these irreconcilable figures are misleading. Independent measurement, applying the same attribution logic across all networks, is needed to reconcile data and enable confident cross-channel decisions. The signal infrastructure for this already exists from mobile measurement.
Retail media ad spend has reached $140B globally, but performance hinges on personalized customer experience, where a gap exists between retailer perception (92% believe they deliver personalization) and shopper reality (48% agree). AI-powered personalization can bridge this gap, debunking myths about data readiness, resource intensity, privacy risks, and growth ceilings. Modern AI handles imperfect data, automates campaign management, requires less PII, and enables real-time inference for higher engagement and revenue. Retailers can achieve 3-5x growth even in mature networks.
Data collaboration platforms are consolidating under ad-centric owners, threatening measurement neutrality. Publicis bought LiveRamp, WPP acquired InfoSum, and LiveRamp absorbed Habu, leaving AppsFlyer as the only major independent player. Brands must vet partners for conflicts: does the platform or its parent benefit from ad spend? Without independence, budget allocation and ROAS calculations may reflect agency incentives over actual performance. Key questions: revenue from ads, cross-channel attribution consistency, data governance, and auditable methodology.
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.
TikTok's Branded Buzz and Search Hubs enable brands to turn passive discovery into active exploration. Branded Buzz leverages creator content for massive organic reach, while Search Hubs capture high-intent search demand with customizable brand destinations. Keyword Amplifier bridges awareness and search engagement. L'Oréal's campaign achieved 7.5x more organic views, 2.9x uplift in search volume, and 1.9x benchmark for keyword-amplified searches. For ad ops, this bundle drives scalable, measurable mid-funnel performance.
谷歌扩展了面向全美50州的本地服务广告(Local Services Ads)房源版,通过HouseCanary数据平台展示定价、图片等核心信息,实现买家与经纪人间的即时连接。该投放策略旨在提升用户获取效率,为房产经纪人提供高意向线索,现有...
YouTube连续第六年获得MRC品牌安全认证,并首次将认证扩展至YouTube Shorts,成为首个获得短格式视频品牌安全认证的平台。该认证覆盖YouTube的三种广告库存适配层级,使广告主能跨长视频和Shorts统一管理投放偏好。Sh...
第一,Google在2026年Marketing Live上发布Gemini模型驱动的广告产品,支持Search和YouTube场景下的智能投放。第二,产品团队深入探讨了AI搜索广告重构、数据驱动的测量方案以及创意工具Asset Studi...
Google将Display Ads整合入Demand Gen广告系列,提供统一管理界面,覆盖GDN的200万站点、视频和Apps。添加GDN后,广告主平均ROI提升9.5%,如GoFood实现CPA降低24%、转化量提升19%。过渡预计2...
Google 在 AI 搜索模式中推出两种新型广告形式:对话式发现广告和突出答案,利用 Gemini 模型生成个性化推荐并附 AI 解释器,75% 的搜索者通过 AI 模式更快做出决策。同时,AI 驱动的购物广告和业务线索智能体即将上线,前...
Asset Studio将AI能力融入Google Ads创意素材制作流程,通过理解营销简报、品牌指南和网站,快速生成多主题、多类型的高质量素材。其即将集成的Gemini Omni多模态模型可一站式制作视频素材,配合一键A/B测试优化表现,...