AppsFlyerAppsFlyer

When ChatGPT becomes the OS: A new era for apps, measurement & commerce

By Gil Bouhnick·Oct 15, 2025·6 min read

Summary

OpenAI is redefining the app ecosystem with Instant Checkout and the Apps SDK, turning ChatGPT into a new OS for human-app interaction. Instant Checkout allows seamless in-chat purchases via the Agentic Commerce Protocol (ACP), while the Apps SDK enables third-party services to embed within ChatGPT, using conversational context and structured UI elements. This shift moves away from monolithic apps toward micro-skills and task-focused services, where UI abstraction reduces emphasis on brand shells and increases focus on core value.

For advertisers and ad ops, this means the traditional funnel—installs, sessions, events—gives way to intent-driven experiences measured by completed actions and multi-step, multi-agent paths. Attribution must evolve to track upstream triggers and downstream outcomes across conversations, agent calls, and tasks. Key data points include OpenAI's partnership with Stripe for ACP, early Etsy and Shopify integration, and the preview of third-party app embedding.

Actionable takeaways: brands should prioritize server-side APIs with an AI mindset, map deep links as intent links, comply with ChatGPT's emerging standards, and invest in measurement that captures fluid user journeys. Monetization opportunities will arise via featured placements, promoted suggestions, and sponsored content within ChatGPT. The future includes app primitives, multi-app orchestration, adaptive UIs, appless brands, and rich memory across apps.

Winners will treat ChatGPT as a new OS layer, focusing on clean APIs, conversation-first logic, and integrated measurement feedback loops. AppsFlyer's investment in MCP aligns with this shift, enabling natural language queries for marketing data.

Analyst Note

This article signals a potential paradigm shift in digital commerce and app interaction, with OpenAI positioning ChatGPT as an agentic layer between users and services. For UA and monetization teams, the key implication is the erosion of traditional attribution models. As users interact through conversational agents rather than direct app opens or website visits, the install-based funnel loses relevance.

Measurement must evolve to track intent-driven completions (e.g., purchases, bookings) across multi-step, multi-agent flows. The introduction of the Agentic Commerce Protocol (ACP) and Apps SDK creates a new competitive dynamic: platforms like ChatGPT become gatekeepers of discovery and transaction routing, analogous to app stores but with more opaque ranking signals. This heightens the importance of clean APIs, structured data, and compliance with platform standards.

For monetization, the possibility of in-conversation promotion (e.g., sponsored suggestions) opens a new ad inventory type, but attribution in a conversation where multiple services compete for the same intent will require lightweight, event-based tracking and feedback loops. The timing aligns with broader shifts toward AI-first interfaces and privacy-conscious data sharing (ACP's minimal data exposure). Ad ops teams should monitor how OpenAI's policies on data sharing, ranking, and measurement unfold, as these will define the rules of engagement in this emerging channel.

You Might Also Like

AppsFlyerAppsFlyer

Winning every stage of the shopper journey with data – your ultimate guide to eCommerce app growth

App measurement is fundamentally different from web analytics due to data fragmentation across ad networks, devices, and apps. A Mobile Measurement Partner (MMP) like AppsFlyer bridges these gaps, enabling unified attribution, fraud protection, and LTV measurement. For eCommerce, granular event tracking, deep linking, and privacy-safe data collaboration are critical. Leaders should focus on metrics like IR, CPI, LTV, and ROAS, and adopt AI-driven optimization to overcome challenges like ad fraud and privacy changes. The future is Connected Commerce—integrating apps, web, retail media, and AI.

Sue Azari·Jan 12, 2026·20 min readRead article →
AdjustAdjust

Mobile app market in 2026: predictions from Adjust | Adjust

Adjust's 2026 predictions emphasize multi-platform measurement, AI-driven decision-ready insights, and linking optimization for growth. Key themes include aggregating signals for privacy-safe personalization, predictive analytics for long-term success, and evaluating paid and organic performance together. Regional highlights: Europe's gaming growth via monetization, China's AI-native entertainment, APAC's market divergence, Japan's demand for integrated measurement. Actionable takeaway: invest in unified analytics that connect mobile, web, and offline touchpoints to optimize user journeys and ROI.

wider use of·Jan 7, 2026·6 min readRead article →
AppsFlyerAppsFlyer

Why banks lose mobile customers (and how deep linking wins them back)

Over 75% of banking app users drop off after first session due to friction. AppsFlyer's Deep Linking Suite preserves user intent by routing customers directly to relevant in-app experiences from any entry point: web, QR codes, SMS, email, or app. Deferred deep linking ensures non-app users reach the intended destination after installation. Deep linking improves day-30 retention by 110% with personalized onboarding. For ad ops, this reduces wasted ad spend by connecting campaigns to actual conversions like account funding.

Lesia Kupriienko·Dec 24, 2025·9 min readRead article →
AdjustAdjust

The state of super apps: Statistics and trends | Adjust

Super apps are growing globally, with the market valued at $114.2B in 2025, projected to reach $595.8B by 2034. APAC leads adoption (46.8% market share), while Europe and North America lag due to mature banking and privacy regulations. For ad ops, super apps create closed ecosystems that limit external tracking and attribution, shifting measurement toward lifecycle performance. Independent measurement platforms like Adjust are essential for connecting acquisition, engagement, and monetization data across services. Key verticals include fintech, mobility, and SMB tools.

how its services connect·Jan 14, 2026·6 min readRead article →
AppsFlyerAppsFlyer

How banks measure marketing ROI across every channel: Paid, owned, and app

Banks lack unified attribution for owned channels (email, SMS, push), web, QR codes, and re-engagement, causing budget misallocation. Omnichannel attribution connects all touchpoints to deposits and loans, revealing that owned channels can be 2-3X more cost-efficient than paid ads. Cross-device journeys (e.g., mobile ad to desktop conversion) remain invisible in single-device attribution. Banking-grade compliance (SOC 2, ISO 27001) is maintained. Ad ops decision-makers can optimize budget allocation by comparing true cost per deposit/loan across channels.

Ligita Kneitaite·Dec 24, 2025·8 min readRead article →
AppsFlyerAppsFlyer

Introducing AEO Attribution & ChatGPT Ads: Measure Every Customer AI Is Sending You

AppsFlyer now attributes AI-driven app traffic on both sides of the funnel: earned organic discovery across 8 AI answer engines (ChatGPT, Claude, Perplexity, Gemini, Grok, Copilot, Manus, DeepSeek) and 13 search engines, plus paid campaigns via a new ChatGPT Ads integration using OpenAI's Conversions API. For ad ops teams, the practical win is deduplication and incrementality: SEO and AEO performance can be viewed side by side, and paid versus organic splits on the same platform (e.g., ChatGPT) reveal the true lift of ad spend rather than cannibalized organic conversions. Setup is low-lift, leveraging existing OneLink, App Links/Universal Links, and Smart Script infrastructure, with no added cost.

Shay Maoz·Sep 16, 2026·7 min readRead article →
AppsFlyerAppsFlyer

Cross-channel marketing analytics: how it works in 2026

Cross-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.

Rachel Siegman·Sep 3, 2026·14 min readRead article →
AppsFlyerAppsFlyer

Omnichannel Analytics Explained

Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.

Roi Tamir·Oct 5, 2026·12 min readRead article →

More from AppsFlyer