消费者行为路径日益复杂,广告主面临将每一分广告花费关联到最终效果的压力。为此,AI驱动的测量工具成为关键解决方案。最新更新包括:降低增量测试的花费门槛并改进方法论,使广告主能更轻松地识别各类广告活动中的真正增量价值,从而调整策略,实现更高效的预算分配。
同时,Google Analytics新增跨渠道测量功能,帮助广告主更全面地衡量客户旅程和营销ROI。未来数月,它还将提供包括Google及其他平台曝光量在内的更深层洞察,加强归因分析。
Data Manager作为一站式数据管理平台,帮助广告主收集、存储和激活来自任何来源的第一方数据,并通过机密计算保障隐私。未来计划增加数据质量建议,并推出替代方案Data Manager API,整合多个API以提升效率。这意味着广告主能更清晰地理解用户路径,获取更丰富的洞察,以驱动AI模型并推动增长。
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.
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.
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.
Apple's WWDC25 announced significant AdAttributionKit updates, including support for multiple overlapping re-engagement conversions with conversion tags, customizable attribution windows per ad network, configurable cooldown periods to avoid misattribution, and new geography data (country codes) in postbacks for high-volume campaigns. Testing capabilities are enhanced via developer mode. These changes give advertisers more control over attribution rules and insights, improving campaign optimization and measurement accuracy across iOS 26 and beyond.
Data collaboration platforms (DCPs) help mobile marketers unify first-party data for secure, privacy-compliant collaboration. They enable audience targeting, campaign optimization, and operational efficiency without exposing raw user data. Unlike data clean rooms, DCPs emphasize activation and integration with downstream systems. For ad ops decision-makers, DCPs offer a scalable way to navigate post-ID privacy regulations while maximizing data value.
Commerce media, projected to reach $140B in 2025, leverages retailers' first-party transaction data and AI to deliver targeted, performance-driven ads. Privacy regulations and high-margin revenue potential drive growth. Advertisers benefit from closed-loop measurement and high-intent audiences. Retailers gain 70-90% margins. AI enables real-time personalization, automated bidding, and closed-loop optimization. For ad ops, investing in first-party data activation and AI-native platforms is critical to capture this expanding market.
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.
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...