Privacy-First MMP

About Linkzly: The Privacy-First Mobile Measurement Partner

We are on a mission to restore truth to mobile marketing by building the world's most transparent and privacy-centric attribution platform. Founded by engineers who believe data ownership belongs to the developer, not the ad network.

Growing
Active Users
Millions
Links Created
99.9%
Uptime SLA
Global
Reach

Our Mission

Mobile attribution shouldn't be exclusive to companies with massive budgets. We believe every app team deserves access to enterprise-grade attribution, privacy-first measurement, and intelligent deep linking. Linkzly is building the mobile measurement partner that combines the power of Branch.io and AppsFlyer with accessible pricing, transparent practices, and genuine developer experience.

Accessibility

Enterprise features shouldn't require enterprise budgets. We build for indie developers, startups, and enterprises alike.

Privacy-First

User privacy is non-negotiable. Built for ATT compliance, GDPR, CCPA. Consent-based tracking, not surveillance.

Developer Experience

APIs should be intuitive, SDKs lightweight, docs comprehensive. We obsess over making integration effortless.

Transparency

No hidden fees, surprise limits, or vendor lock-in. Your data is your data. Export anytime.

Our Journey

Key milestones in our growth story

24
2024

Linkzly founded

Started with a vision: democratize mobile measurement and make enterprise-grade attribution accessible to all app developers.

24
2024

Platform launch

Shipped Smart Links and Smart Apps with multi-method attribution engine supporting Install Referrer, SKAdNetwork, and fingerprinting.

25
2025

Privacy-first measurement

Full SKAdNetwork integration, ATT compliance, GDPR/CCPA support, and deterministic attribution across Android and iOS.

25
2025

Expanding globally

Growing user base of developers, startups, and enterprises trusting Linkzly for accurate mobile attribution.

Ready to Transform Mobile Attribution?

Join modern app teams who trust Linkzly for multi-method attribution, privacy-first measurement, and intelligent deep linking.