AppsFlyer's Model Context Protocol (MCP) revolutionizes marketing analytics by enabling natural language access to real-time, privacy-compliant data through LLMs like Claude, ChatGPT, and Gemini.
Built on AppsFlyer's trusted attribution APIs, MCP translates prompts into structured queries, delivering insights instantly without technical dependencies.
Marketers can analyze campaign ROAS, manage audiences, audit deep links, and more—either via chat or by deploying autonomous AI agents for continuous monitoring and automated actions.
MCP reduces decision cycles from days to seconds, empowers non-technical teams, and supports scalable workflows.
Future capabilities will include predictive insights and agent-driven automation, solidifying MCP as a core component of AI-powered marketing.
AppsFlyer MCP connects Claude to live attribution data, eliminating CSV exports. Gaming, finance, and e-commerce teams use it to automate reporting, catch budget anomalies, and answer performance questions in real time, transforming workflows in under 60 seconds.
Banking apps are essential digital channels that combine core banking services with mobile convenience. They face unique challenges including strict privacy regulations, fraud prevention, and complex customer journey measurement. Success requires granular analytics, personalized experiences, and compliance-focused marketing strategies to drive engagement and retention.
AI marketing fails without quality data. Fragmented, inconsistent data leads to unreliable insights. AI-ready data must be complete, governed, contextual, and real-time to deliver accurate results and avoid misleading automation.
Instagram deep links route users to apps, but Instagram's walled garden often breaks them. AppsFlyer's OneLink provides deferred deep linking, attribution, and branded landing pages to fix this, making Instagram a measurable growth channel.
TikTokTikTok's full-funnel automation integrates creative, media, and measurement into one loop, solving fragmentation and boosting performance. Tools like Smart+ and GMV Max help brands scale efficiently with AI.
AppsFlyer's Creative Optimization centralizes ad creatives, detects fatigue early, and compares cross-geo performance. AI-powered tagging analyzes ad elements like tone and content, enabling data-driven decisions to scale winning ads efficiently.
AdjustAdjust MCP server connects Adjust data to external AI tools, allowing teams to query performance data within existing workflows without manual transfers.
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