Adjust's integration with Superwall marks the first direct connection between a mobile measurement partner (MMP) and a paywall management platform, addressing a critical blind spot in subscription attribution. Traditionally, paywall conversion events (e.g., trial start, purchase) are siloed from upstream marketing campaigns, making it difficult for ad ops teams to optimize user acquisition (UA) spend based on downstream monetization. This S2S integration bridges that gap by forwarding subscription lifecycle events—including starts, renewals, cancellations, and refunds—from Superwall to Adjust in real time.
Key data points: The integration supports standard in-app subscriptions for Apple App Store and Google Play, plus subscriptions initiated via Stripe checkout (in-app web flows and web campaigns). For Stripe, Superwall uses identity linking to associate purchases with device-level identifiers, ensuring consistent attribution across platforms. Ad ops teams can configure revenue reporting as gross or net (after platform fees), enabling accurate ROI calculations.
Actionable takeaways: 1) Create event tokens in Adjust and map them in Superwall to track specific subscription events. 2) Set up revenue reporting (gross/net) in Superwall dashboard for each event. 3) Leverage the integrated data to optimize UA campaigns toward high-value users who convert on paywalls. 4) Use full-funnel attribution to identify which ad channels, creatives, and campaigns drive not just installs but actual subscription revenue, reducing wasted spend.
This partnership is particularly valuable for apps using hybrid monetization (ads + subscriptions) or those migrating to subscription models, as it provides a holistic view of user value beyond install-level metrics.
What's notable here is the deepening of the integration between attribution and monetization infrastructure. By becoming the first MMP to natively ingest paywall events from Superwall—including Stripe-based subscriptions—Adjust effectively closes a data gap that has long plagued subscription businesses: the ability to tie downstream revenue events back to upstream user acquisition campaigns in a single view. This matters right now because the industry is moving toward full-funnel attribution, where every touchpoint, from ad impression to subscription renewal, must be measurable.
The inclusion of Stripe is particularly significant, as many subscription apps use alternative payment flows to avoid platform fees, but those events often fall into a black hole for attribution. For UA teams, this means more accurate ROAS calculations on non-Apple/non-Google payment methods. For monetization strategists, it enables granular analysis of paywall performance by campaign source.
The integration also signals a competitive escalation among MMPs to own the subscription measurement layer, especially as privacy constraints limit traditional attribution methods.
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.
Adjust has expanded store detection and verification across multiple app storefronts, making Store Type the primary dimension for identifying where an install originated rather than relying on platform or OS alone. For ad ops teams, this means campaign performance can now be analyzed at the store level across Huawei AppGallery, Xiaomi GetApps, Samsung Galaxy Store, Vivo Appstore, and Google Play variants, with independent verification of install origin. Newly detected stores are flagged in AppView with a direct route to configuration, and store-level data flows automatically into reporting, raw data, callbacks, and CSV exports, plus Conversion Rules via Store Rule conditions.
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
Analysis of 2022 World Cup mobile data reveals that the tournament's largest engagement window occurs early, with sports entertainment installs spiking 189% and sports news 204% on November 22. Engagement revolves around national team matches, with significant spikes from non-participating markets like China (+1,294% sports entertainment installs). For 2026, brands must adapt in real-time to shifting attention across matches and regions. Adjust's AI-powered attribution and analytics provide the visibility needed to capitalize on these global events.
Adjust's presence at MAU 2026 in Las Vegas highlighted its Agentic Growth Management, leveraging AI for automated campaign optimization. Key sessions covered agentic AI for budget, bid, and creative adjustments. The event underscored the industry's shift toward automation in mobile marketing to handle complex growth loops. Adjust's booth and side events facilitated discussions on measurement, fraud prevention, and ROI. The week concluded with a call to explore Adjust's solutions for future growth.
Adjust's Device Usage dashboard in Datascape gives ad ops teams a prebuilt view of how active users are distributed across app versions, OS versions, SDK versions, and iOS ATT status, plus dimensions like device type, country, language, and date. The core insight is that release impact can lag because users update over days or weeks; segmenting DAU by version explains flat or shifting metrics. Teams can track SDK and app-version adoption, compare OS behavior, identify stale versions, and add device/country context to performance analysis. Actionable takeaway: use the dashboard before and after releases or SDK rollouts to validate adoption, isolate version-specific issues, and contextualize attribution and engagement trends.
WWDC26 focused on AI, with minimal changes to iOS attribution. Apple introduced Foundation Models, Core AI, and App Intents updates, but no significant AdAttributionKit or SKAN updates. For ad ops, this means continuity in measurement strategies. Key AI announcements include Siri AI, Xcode 27 agentic coding, and cross-developer subscription bundles. The lack of attribution changes provides stability for teams optimizing existing iOS measurement approaches.
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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