Google宣布推出集成转化测量(ICM),这是针对移动广告归因的一次重要更新,旨在应对隐私法规、平台政策变化及设备标识符访问受限带来的挑战。ICM通过设备端转化测量(ODM2.0)等隐私保护技术,在传统标识符有限的环境下(如未授权ATT的iOS 14.5+用户、EEA地区的Android用户及主动关闭设备级追踪的用户)提供事件级数据,从而提升MMP(App Attribution Partner)界面中的报告准确性和覆盖范围。
ICM的核心优势包括:扩大跨平台可见性,实时提供iOS和Android端的事件级表现数据,填补关键报告缺口;测量方式符合隐私标准,无需设备标识符即可完成归因;与现有测量堆栈无缝兼容,支持SDK和服务器到服务器集成,已使用MMP或Google Ads API的广告主仅需最小改动即可接入。
Adjust作为Google的合作伙伴,已支持ICM报告。在Adjust面板中,ICM归因的转化将被纳入概率归因层级和跨网络报告,这意味着广告主能够直接获得更完善的App事件报告,尤其是针对此前难以追踪的用户群体。这有助于广告主更清晰地了解App广告活动表现,从而优化投放策略、更高效地分配预算。
ICM的推出标志着移动广告归因在隐私优先的环境下迈出了重要一步。对于广告主而言,及时接入ICM可以弥补因平台限制导致的归因空白,提升对UA(用户获取)效果的洞察力,进而实现增量提效。Adjust表示将继续走在隐私与平台变革的前沿,帮助广告主无缝过渡,充分利用ICM带来的优势。
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.
Marketing mix modeling (MMM) is re-emerging as a privacy-compliant complement to attribution, helping mobile marketers evaluate the impact of media spend, pricing, ASO, and promotions on installs and revenue. Unlike traditional media mix modeling, MMM includes non-media levers. Combined with incrementality testing and predictive analytics, MMM provides a high-level view of performance without relying on user-level data, making it essential for modern measurement stacks.
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.
Adjust now supports ChatGPT Ads measurement, enabling advertisers to attribute installs and post-install events from campaigns within ChatGPT. The integration provides URL templates for clicks and impressions, and uses the Conversions API to report conversions back to OpenAI. Advertisers can configure the module in Adjust by entering API credentials and mapping events. This allows tracking of key metrics like impressions, clicks, spend, CTR, CPC, and CPM, making ChatGPT Ads a measurable, data-driven channel for user acquisition.
Mobile marketing automation is critical for scaling ROAS by enabling real-time, data-driven campaign optimization. Key strategies include setting automation rules for bid/budget adjustments based on performance thresholds, implementing anomaly detection to prevent wasted spend, and using smart alerts for timely budget reallocation. A case study from Melsoft Games shows that automation allowed testing hundreds more creatives without extra time or cost. For ad ops leaders, the takeaway is that automation reduces manual bottlenecks, improves reaction speed, and directly boosts ROAS when integrated with attribution and analytics tools.
ATT opt-in rates continue to rise gradually, reaching 35% globally in Q2 2025, up from 34.5% in 2024. Education apps saw the biggest improvement, from 7% to 14%. Gaming remains top-performing, with sports (50%), hyper casual (43%), and action (40%) leading. Country-wise, Brazil (50%), UAE (49%), and Turkey (42%) are highest. Investing in prompt UX is a strategic lever to increase addressable iOS audiences.
User testing reveals the gap between designer intent and user experience, uncovering silent churn causes like unclear onboarding or passive ad chains. Analytics show what happens; user testing explains why. Small tests (5-8 participants) can identify friction points, and improving retention by 10% can significantly boost revenue without changing monetization. For ad ops, this means better user engagement reduces wasted ad spend and increases lifetime value.
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