For mobile marketing and growth teams running app install campaigns, AppsFlyer is a mobile attribution platform that tracks which ad campaigns drive installs and events, then deep-links users straight into the right in-app experience.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
AppsFlyer is positioning itself as the measurement layer underneath AI-driven marketing — governed, validated signals for machine-learning models rather than just dashboards — extending its original mobile-attribution business into agentic execution and behavioral fraud detection built on that same data layer. The conversation that references it beyond its own channels centers mostly on its financial trajectory, with coverage of its growth financing as it edges toward a public listing, giving it a steady, if not dominant, presence in the category rather than heavy day-to-day practitioner chatter.
Applecart
CHEQ
DISQO
MNTN
StackAdaptNetflix, TikTok, Visa, PepsiCo, Burger King, HSBC, Lululemon, Ubisoft, Agoda, Getir
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Business Profile
AppsFlyer has operated as an independent, VC- and growth-backed company since its 2011 founding, building from the primary mobile attribution layer for app marketers into what it now describes as a broader measurement and data-collaboration cloud spanning mobile, web, CTV, and console. It has grown to more than 1,500 employees and roughly $293 million in disclosed funding, backed over the years by investors including General Atlantic, Goldman Sachs, and Salesforce Ventures. In 2026 it took on new strategic investment from major advertising platforms, with leadership publicly stating an eventual public listing is the intended path.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
AppsFlyer has published both API documentation and a dedicated MCP integration, moving beyond its original reporting dashboards toward direct agent access to its measurement data. Its site frames this as an Agentic AI Suite aimed at autonomous execution rather than manual reporting, with the MCP server already being wired into agent-driven workflows for faster, more real-time monitoring of ad performance.
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