2025年初,Google Performance Max迎来多项新功能升级,重点围绕投放控制、报告透明度和资产组管理三大方向,帮助广告主在AI驱动下实现更精准的增量提效。
在投放控制方面,广告系列级否定关键词经过测试后现已全面开放,允许广告主排除不相关的搜索词以优化品牌适宜性;高价值新客户模式同步全量上线,广告主可通过Customer Match指定高价值客户特征,让Google AI预测并优先出价获取具有更高LTV的新用户。此外,品牌排除功能支持按广告格式独立设置,零售广告主可对搜索文字广告排除品牌词,同时保留购物广告的品牌流量;'URL包含'规则也扩展至商品目录广告系列,便于按页面分类(如'shoes')定向投放。即将推出的两个beta版本——年龄排除和设备投放(计算机/移动设备/平板)定制,为广告主提供更精细的受众控制。
报告与透明度方面,搜索主题功能正式发布,广告主可查看查询来源(来自AI关键词匹配还是广告主提供的搜索主题),并获取搜索主题的'实用性'指标,以判断其是否带来了增量流量。资产组报告新增细分能力,支持按设备、时间等维度查看转化,且数据可下载,方便离线分析与分享。
这些更新体现了Google在AI投放中持续增强广告主控制权和数据洞察的策略,帮助广告主在Performance Max中更好地平衡自动化与人工优化,提升UA和ROAS表现。
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.
This guide helps app marketers select a Mobile Measurement Partner (MMP) by covering essential features like privacy-first measurement, unified attribution, fraud protection, and advanced analytics. It emphasizes choosing an MMP that integrates easily, scales with business growth, and provides reliable data for optimizing marketing ROI across teams.
Preload campaigns are critical for UA in 2025, offering early brand presence, higher trust, and cost-efficient growth. Key benefits include increased visibility, engagement, and LTV. Practitioners should leverage advanced segmentation, automated recommendations, predictive analytics, extended attribution windows, and incrementality testing. Partnerships with OEMs and platforms like Appnext, Aura, AVOW, Digital Turbine, and InMobi can drive significant results, as seen with Magalu's 100k+ monthly installs and 4x ROAS.
Cross-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.
The mobile advertising industry is optimistic heading into 2025, with 80% of marketers expecting the year to be as strong or stronger than 2024. Non-gaming apps are driving growth, with downloads up 12% YoY and IAP revenue increasing 20%+. Marketers are prioritizing profitability and ROAS, with over half reporting more aggressive KPIs. Generative AI is already benefiting creative production and optimization. iOS re-engagement remains underleveraged, and most marketers are still adapting to SKAN. Budgets are increasing, with a focus on ad networks and self-attributing networks.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
Meta is investing in AI models like Andromeda to optimize ad performance. New omnichannel ads drive online and in-store sales, showing 15% lower CPA and 12% higher ROAS. Updates include simplified checkout for Shops ads, ads in Facebook notifications, and generative AI for virtual try-ons and text generation. Advertisers can request emails before promo codes and use site links on Instagram. These tools help capture demand and improve margins.
Google's Demand Gen campaigns now offer expanded channel controls, allowing precise ad placement across YouTube, Discover, Gmail, and Google Display inventory, including YouTube Shorts. New creative tools include 9:16 vertical image ads for Shorts, video enhancements for aspect ratio variations, and an improved ad creation flow. Retailers gain product feeds with local availability and omnichannel bidding to drive online and offline sales. Google also introduces reporting columns for cross-platform performance comparison and provides upgrade milestones for Video Action Campaigns to Demand Gen, which has shown 58% higher ROAS on average.
销售周期持续拉长、线索转化路径难以追踪,使得 lead gen 投放的 ROI 衡量正变得空前困难——除非用户主动填写表单,否则很难判断到底是什么在驱动转化。在纽约 Rethink ROI 现场录制的 Ads Decoded 播客中,Goo...
文章是对 Rethink 2026 活动的预告,指出即将到来的假日购物季将由 AI 全面驱动,营销人员需要新的产品能力与实战方法才能抓住增长窗口。主办方将集中释出一批产品更新与可落地的客户触达打法,帮助广告主在旺季提升投放效率与 ROI。对...
Google 在纽约举办 Rethink Retail 活动后,其 Ads Product Liaison Ginny Marvin 与负责零售广告体验的 Group Product Manager Enric Durany 在 Ads D...
Google 正将效果衡量从被动报告升级为主动增长引擎,围绕数据基础、多重信号与因果证明三要素推出新能力。Data Manager 与 GA、DV360 打通,并推出 universal Data Manager API 与 enhance...
本文探讨了如何构建一个可靠的测量体系,以应对归因分析、增量测试和MMM(媒体组合模型)等工具之间的冲突。Google Ads产品管理总监强调,广告主应结合多种测量方法,并重视长期价值而非短期ROAS,同时介绍了支持更长购买路径的Qualif...
Google在2025年下半年对Demand Gen广告进行了数百项改进,平均为广告主带来30%的转化或转化价值提升。最新更新包括在YouTube上测试从广告直接跳转至消息应用以促进高意向用户转化,并为旅游行业推出本地活动、实时优惠及个性化...