Adjust正式推出Growth Copilot公测版,这是一款集成在Adjust Analyze产品线中的AI驱动分析工具。营销人员只需用自然语言提问,即可实时获取数据洞察和可视化图表,无需SQL技能、额外工具或等待数据团队支持,大幅缩短从提问到决策的时间。
核心功能包括快速回答“本周哪个渠道CPI最低”、“昨日Campaign X安装量下降原因”、“EMEA地区上季度最佳素材”等常见问题。Growth Copilot通过自动化报告和简化监控流程,帮助团队释放数据分析师负担,将精力聚焦于更高价值的策略工作。
该工具强调协作赋能,使非技术岗位也能直接访问数据洞察,促进市场、产品和增长团队间的信息共享。Adjust表示,Growth Copilot旨在解决移动营销中因工具切换、流程瓶颈导致的效率低下问题,提供实时的AI驱动分析能力。
目前Growth Copilot处于开放公测阶段,Adjust现有客户可联系客户代表或申请演示体验。Adjust强调该工具将成为其AI解决方案组合的一部分,与iOS SKAN、CTV、增量衡量等产品协同,支撑全链路增长决策。
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.
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.
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.
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.
Adjust now supports Meta's Advanced Mobile Measurement (AMM), enabling advertisers to access non-aggregated last-touch attribution data for precise performance analysis. Starting July 21, 2025, Meta's Engaged Views will be treated with the same priority as clicks in Adjust's attribution waterfall, aligning Meta with other self-attributing networks. These updates improve transparency and reporting granularity, allowing ad ops teams to better measure campaign effectiveness. Opt-in is required for AMM.
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