Google正式推出Data Manager API,这是一个集中化的安全连接工具,旨在简化开发者、代理商和广告主对接第一方数据与Google Ads等广告平台的流程。与以往需要管理多个平台API不同,该API提供一个统一接口,帮助营销人员更轻松地利用Google AI进行用户获取和广告变现。
根据Google的数据,深度整合AI工具的营销人员报告收入增长比同行高出60%,这凸显了AI在增量提效方面的关键作用。Data Manager API允许广告主上传新的受众列表,并发送线下转化事件,从而提升归因分析和竞价效果,这是基于无代码版Data Manager解决方案的进一步升级,后者已帮助数万广告主连接和使用第一方数据。
目前,Data Manager API已对Google Ads、Google Analytics和Display & Video 360开放,并计划未来支持更多平台。为扩大覆盖,Google已与Adswerve、CustomerLabs、Datahash、fifty-five、Hightouch、Jellyfish、Lytics、Tealium、Treasure Data、Zapier等多家行业伙伴合作,共同推动该API的采用。
此举对于广告主优化投放策略,提升ROAS和LTV具有重要意义。随着第三方Cookie的逐步淘汰,第一方数据的价值愈发凸显,Data Manager API为广告主提供了一条高效、合规的数据整合通道,助力其在隐私至上的时代实现更精准的用户获取和广告变现。
App measurement is fundamentally different from web analytics due to data fragmentation across ad networks, devices, and apps. A Mobile Measurement Partner (MMP) like AppsFlyer bridges these gaps, enabling unified attribution, fraud protection, and LTV measurement. For eCommerce, granular event tracking, deep linking, and privacy-safe data collaboration are critical. Leaders should focus on metrics like IR, CPI, LTV, and ROAS, and adopt AI-driven optimization to overcome challenges like ad fraud and privacy changes. The future is Connected Commerce—integrating apps, web, retail media, and AI.
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.
Meta's V25 update introduces Page Viewer Metric to replace reach, affecting page and story insights. Webhooks mTLS certificates switch to Meta's CA by March 31, 2026, requiring trust store updates. Enhanced error messaging for Ads Insights Async API starts Feb 18, 2026. Metadata query parameter deprecated. Reach/impression and 3-second viewer metrics deprecated by June 2026, migrating to Media Views/Viewers. ASC/AAC campaign creation/update ends Feb 18, 2026, with full pause by Sep 2026. API versions v19 and v20 deprecated in May and Sep 2026 respectively.
TikTok's full-funnel automation, integrating creative, media, and measurement, addresses fragmentation in AI tools. Brands using Smart+ and GMV Max see improved ROAS and CPA. Case studies show Naturium achieved 3.5x ROAS, PHLUR 191% higher ROAS, and Leatherman 97% revenue increase. Symphony and Content Suite enable scalable, authentic content. The key is pairing automation with strategic storytelling.
Adjust's SpendWorks unifies ad spend tracking across networks, enabling marketers to collect, validate, and analyze cost data with performance metrics. It supports multiple collection methods including API integrations, scheduling, web-to-mobile spend, and data imports. Key features include 40+ network integrations, automated scheduling with multiple daily pulls, and granular mapping for cross-channel campaigns. This solution reduces manual effort, improves data accuracy, and supports smarter budget allocation for better ROAS.
Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.
Google is expanding its measurement suite to turn first-party data into an AI-driven performance engine. Key updates: Data Manager integrates directly with GA and DV360; enhanced conversions launch in both; the Data Manager API becomes universal using IAB Tech Lab’s ECAPI standard; and a new Data Strength Uplift Metric in Google Ads quantifies recovered conversions. Cited uplifts: 26% incremental ROAS from connecting offline/app data, 11% Search conversion lift from enhanced conversions, 14% conversion uplift via Google tag gateway, and 20%+ for Demand Gen. For ad ops, this means cleaner pipelines, better signal activation, and clearer proof of data impact.
Meta’s Advertising Week New York updates center on AI-driven campaign automation and faster creative production. Ads Creative Studio is expanding with performance insights. Meta AI business assistant gains creative insights, deeper business memory, and agentic abilities to plan, create, optimize, and schedule tasks, with advertiser permissions and approvals. AI-enabled audience discovery arrives in Detailed Targeting, and Customer Lifecycle Strategy helps prioritize new customers. Generative AI video expands for static assets, catalog product video, and smart recommendations. Direct checkout tests launch in Meta Business Agent on Messenger, Meta AI, and Muse. For ad ops, these tools promise efficiency, but governance and testing remain critical.
在 Google Ads 的《Ads Decoded》最新一期中,Ads Product Liaison Ginny Marvin 与 Demand Gen 及 YouTube 效果广告产品经理 Alejandro Osio 对谈,指出 D...
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