MAU 2025 saw Adjust return as title sponsor, launching Growth Copilot - a natural language AI tool designed to help mobile marketing teams transform data into actionable strategies. In a main stage session, CEO Andrey Kazakov and Avi Blumenstein of Age of Learning discussed best practices for driving growth with AI, covering four key areas: maximizing AI to accelerate performance, optimizing creative and campaigns in real time, using AI for resource efficiency and scale, and how Growth Copilot fits into the landscape. The event facilitated meaningful connections through co-hosted gatherings with Reddit, Sensor Tower, and AppLovin, including TopGolf and a VIP Happy Hour.
Ad ops decision-makers should note that AI is becoming essential for operational agility and measurable growth. Adjust's booth conversations centered on evolving measurement solutions and the new AI capabilities. The article emphasizes practical AI application rather than theoretical benefits, offering actionable insights for mobile marketers seeking to improve campaign performance and operational efficiency.
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.
AI is transforming mobile growth stacks from reactive, fragmented systems into unified, predictive platforms. Marketers move from manual dashboard analysis to conversational AI that delivers instant insights and proactive optimization. Predictive AI flags risks early, enabling faster decisions and reducing wasted spend. The shift empowers marketers to focus on strategy rather than data assembly, with tools like Adjust Growth Copilot providing a single interface for querying, analyzing, and optimizing performance in real time.
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.
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.
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.
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