Apple announced that from April 10, 2025, Apple Search Ads (now Apple Ads) will be integrated into AdAttributionKit, starting with SKAdNetwork (SKAN) versions 1-3. Previously, ASA operated independently with deterministic attribution not requiring IDFA or ATT consent. Now, installs from ASA will be reported both within SKAN and via the AdServices API, covering search results, search tab, today tab, and product pages.
This move responds to developer demand for unified measurement across ad networks. Adjust, a leading measurement partner, is fully equipped to support this integration, ensuring seamless campaign optimization for clients. The change enhances privacy-preserving attribution while giving advertisers a more comprehensive view of conversion drivers.
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.
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.
Hybrid monetization, combining in-app purchases (IAPs), in-app advertising (IAA), and subscriptions, is key to maximizing revenue and user lifetime value. By diversifying revenue streams, developers mitigate risk and cater to varied user preferences. The strategy is led by hybrid casual games but extends to finance, e-commerce, and health apps. Best practices include audience segmentation, personalized offers, A/B testing, and balancing user experience with revenue. Analyzing metrics like ARPU, LTV, and churn is crucial for optimization.
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.
At MAU 2025, Adjust highlighted its new Growth Copilot AI solution, aimed at helping mobile marketers turn data into actionable insights for smarter growth. The event featured key sessions on AI-driven campaign optimization and real-time decision-making. Networking events with partners like Reddit, Sensor Tower, and AppLovin fostered industry connections. For ad ops decision-makers, the key takeaway is leveraging AI to accelerate performance and scale resources efficiently.
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.
Adjust launches Growth Copilot beta, an AI assistant that answers plain-language questions about campaign performance, helping marketers get instant insights without SQL or dashboards.
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