At WWDC25, Apple unveiled several impactful updates to AdAttributionKit and SKAdNetwork, focusing on flexibility and data granularity for advertisers. Key changes include: (1) Support for multiple overlapping re-engagement conversions: apps can now record simultaneous re-engagements and update conversion values using conversion tags, enabling better tracking of user journeys. (2) Customizable attribution rules: advertisers can set per-network attribution windows for click-through (previously fixed 30 days) and view-through (1 day), and can ignore specific ad types for certain networks.
This allows tailored attribution models. (3) Configurable cooldown periods: after a conversion, advertisers can set a cooldown to prevent subsequent interactions from misattributing user value, addressing scenarios where install conversions and re-engagement overlaps cause data discrepancies. (4) Geography data in postbacks: country codes will be included in postbacks for high-volume campaigns meeting elevated crowd anonymity tiers, providing location insights without compromising privacy.
Apple introduced a new tier for country codes to avoid dilution of other data. (5) Enhanced testing: developer mode in iOS Settings simplifies testing of postbacks and conversion values. Additionally, Apple is shifting to year-based OS naming (iOS 26, etc.) and introducing a unified Liquid Glass design system.
For ad ops decision-makers, these updates enable more precise attribution, better measurement of re-engagement campaigns, and actionable geo-insights, ultimately improving ROI. Advertisers should work with their MMP (e.g., Adjust) to implement these features and optimize campaigns accordingly.
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.
Adjust's bulk QR code generation enables marketers to create thousands of branded, deep-linked QR codes from a spreadsheet or API, eliminating developer dependency. Each code embeds attribution data for real-time performance tracking at campaign, store, or salesperson level. This empowers offline-to-app, CTV-to-app, and desktop-to-app use cases, turning QR campaigns into measurable growth drivers.
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.
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.
Karthik Kannan distills deep linking into a practical 4R framework: Remember, Reach, Retrieve, Route. For ad ops teams, the key insight is that campaign context must survive the click-to-app journey. Adjust TrueLink captures link parameters on click; the user is then guided into the app via Universal Links, Android App Links, URI schemes, app stores, or web-to-app flows. On SDK init, the app session is matched and attributed to the click, then link data is passed to the app for routing. Decision-makers should ensure deep link paths, campaign parameters, attribution matching, and fallback journeys are tested to protect measurement and user experience.
Japan's finance app category is outperforming, with H1 2026 installs up 8% YoY and sessions up 40%—nearly 5x the install growth and well ahead of global figures (5% and 29%). Stock trading is the standout subvertical: installs +90% YoY and average session length climbing to 11.7 minutes, driven by NISA reforms and a retail investor resurgence. Retention is improving across the full 30-day curve (D1 17% to 19%, D30 7% to 8%). For ad ops teams, the takeaway is clear: prioritize measurement depth, re-engagement, and channel-level quality over top-of-funnel volume alone.
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