AppsFlyer vs Umami
AppsFlyer and Umami are both Analytics tools. Here is how they compare on pricing, audience, platforms and community votes.
Mobile attribution and marketing measurement for app teams
Simple, self-hosted website analytics
| Pricing | Freemium | Open source · $20 |
| Built for | Enterprise, Small businesses, Developers, Agencies | Developers, Freelancers |
| Platforms | web | web |
| Country | US · 2011 | US · 2020 |
| Community votes | 0 | 0 |
| Rating | — | — |
AppsFlyer
AppsFlyer is a mobile measurement partner (MMP): it tells app marketers which ad network, campaign and creative produced each install, signup or purchase. The company was founded in Israel in 2011 by Oren Kaniel and Reshef Mann, is headquartered in San Francisco and runs its main R&D center in Herzliya. Ad networks widely accept it as the neutral referee for paid installs.
Beyond last-touch attribution, the platform covers SKAdNetwork measurement for iOS, OneLink deep links, Protect360 fraud protection, incrementality testing, cost aggregation, creative analytics, Audiences for segment syncing and Data Locker for raw data export to your warehouse. Packaging is simple at the low end: Zero is free for owned media, Growth is pay as you go per attributed conversion, and Enterprise bundles the premium suites under a custom contract.
AppsFlyer fits app businesses that spend real money on user acquisition across several networks. It is heavy for a web-only store, where Triple Whale or Northbeam model ad spend for Shopify brands more directly, and it is not a product analytics tool like Firebase or a CDP like Segment. Its closest rivals are Adjust, Branch and Singular, which differ mainly in pricing and deep-linking strength.
In July 2025 AppsFlyer launched an MCP server that lets Claude and other LLM tools query attribution data in plain language, and it has since grown into an Agentic AI Suite with Agent Hub and an AI assistant. Organic installs are not billed, so only attributed paid conversions drive the Growth bill.
Umami
Umami is a simple, privacy-focused web analytics tool created by Mike Cao and maintained by Umami Software. The code is open source under the MIT licence and can be self-hosted for free, and the company also runs Umami Cloud. It collects pageviews, visitors, referrers, devices, browsers, countries and custom events without cookies or personal data, so in many setups no consent banner is required.
The dashboard is minimal and fast, with realtime data, page and referrer breakdowns, UTM tracking, custom events and properties, and a reports section that adds funnels, retention, goals, user journeys and attribution. Teams can share access, publish public dashboards and use the REST API to pull data elsewhere. Self-hosting runs on Postgres or MySQL with Docker or one-click deploys to Vercel and Railway. Umami Cloud has a free Hobby tier for one website, paid Pro and Business plans with more events, longer retention and team features, plus Enterprise options.
Umami fits developers, indie makers, agencies and small teams who want free, private analytics they control. It has fewer integrations than Plausible, its advanced reports are newer and less mature, self-hosting requires a database, and it offers far less depth than Google Analytics for advertising attribution. Plausible is the more polished paid alternative, Fathom is another privacy-first hosted option, Matomo covers more GA-like features, and Google Analytics remains necessary for many advertisers.