GoogleGoogle

Data Manager API helps advertisers improve measurement and get better results from Google AI.

By Kamal Janardhan·2025年12月9日·2 分钟阅读

摘要

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。

猜你喜欢

AppsFlyerAppsFlyer

Winning every stage of the shopper journey with data – your ultimate guide to eCommerce app growth

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.

Sue Azari·2026年1月12日·20 分钟阅读阅读文章 →
AppsFlyerAppsFlyer

Cross-channel marketing analytics: how it works in 2026

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.

Rachel Siegman·2026年9月3日·14 分钟阅读阅读文章 →
MetaMeta

Introducing Graph API v25.0 and Marketing API v25.0

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.

Manjari Jain·2026年2月18日·4 分钟阅读阅读文章 →
TikTokTikTok

The AI Uprising in Advertising: TikTok is Leading the Charge | TikTok For Business Blog

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.

Pierson Krass·2025年10月13日·7 分钟阅读阅读文章 →
AdjustAdjust

Ad spend measurement with SpendWorks | Adjust

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.

aligning it with performance·2026年2月9日·4 分钟阅读阅读文章 →
MolocoMoloco

Inside Moloco's CARA: the AI that compounds

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.

Tal Shaked·2026年8月7日·14 分钟阅读阅读文章 →
GoogleGoogle

Drive profitable growth with new data and measurement tools

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.

Nipoon Malhotra·2026年9月10日·2 分钟阅读阅读文章 →
AppsFlyerAppsFlyer

From signals to optimization: how AppsFlyer powers TikTok’s iOS performance

TikTok iOS campaigns can now be optimized using real-time conversion signals from AppsFlyer’s Advanced SRN, replacing delayed SKAdNetwork data. This gives marketing teams real-time visibility into performance, enabling faster optimization of bids, creatives, and targeting. The integration provides probabilistic modeling for ID-less traffic and deterministic attribution for consented users, improving campaign results. Advertisers must configure Advanced Privacy settings in AppsFlyer to enable this. SSOT deduplication is recommended for unified reporting.

Shay Maoz·2026年2月8日·6 分钟阅读阅读文章 →

更多来自 Google

Drive profitable growth with new data and measurement tools

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...

2026年9月10日·2 分钟阅读

Build a measurement stack you can rely on to steer your campaigns.

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...

2026年9月2日·1 分钟阅读

Reach your audience in new ways with August’s Demand Gen Drop.

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...

2026年8月27日·1 分钟阅读

Make AI Max work for your business with new testing and planning tools.

AI Max 新增多广告系列 A/B 测试功能,支持在启用品牌或位置控制的情况下测试不同预算和 ROAS 目标,并计划于 9 月上线。Performance Planner 现已支持一键应用竞价或预算调整建议,帮助广告主预测并优化现有广告系...

2026年8月20日·1 分钟阅读

Get your product data holiday-ready on Google Merchant Center.

本文介绍了Google Merchant Center在假日购物季前的优化策略,强调商家需提前调整产品数据以提升广告效果。专家建议利用现有功能增强创意广告的投放效率,并关注未来平台更新。实践意义在于帮助广告主把握旺季流量,实现增量提效。

2026年8月19日·1 分钟阅读

What 3 creatives built with unlimited access to Google Flow

Google Flow联合Johannes Leonardo发起Small Brief项目,邀请三位知名创意人利用AI工具为本地企业创作广告活动,彰显生成式AI在品牌叙事中的赋能价值。项目覆盖农场、轮渡和公益组织三大案例,分别通过双关语、历...

2026年8月19日·2 分钟阅读