GDPR Compliant Analytics That Still Let You Personalize
You don't have to choose between privacy and personalization. ReachOut gives you GDPR-compliant, EU-hosted analytics with user-level data for advanced targeting.
ReachOut Insights
Personalized Marketing, Content Strategy, Publishing and Case Studies for content marketers
Web Analytics with User-Level Data: Why It Matters
Most privacy-first analytics tools strip out individual visitor data. Here's why user-level analytics matters for personalization and what makes ReachOut different.
ReachOut vs Matomo: Cloud-Native vs Self-Hosted Analytics
Matomo requires server management. ReachOut gives you managed, EU-hosted analytics with user-level data and zero infrastructure overhead.
ReachOut vs PostHog: Marketing Analytics vs Product Analytics
PostHog is built for product teams. ReachOut is built for marketers — with campaign integration, email automation, and AI-driven insights on the roadmap.
ReachOut vs Plausible: Privacy Analytics with User-Level Data
Compare ReachOut and Plausible side by side. Both privacy-first, but only ReachOut gives you user-level visitor data for personalization.
ReachOut vs Fathom: Which Privacy Analytics Tool Gives You More?
Fathom charges $14/mo for 100k pageviews. ReachOut offers unlimited pageviews with user-level data — free for 2 sites, $9.99/mo unlimited.
ReachOut vs Google Analytics: Privacy-First Without Sacrificing Insights
GA4 samples data and raises GDPR concerns. ReachOut gives full user-level data, EU-hosted, privacy-first — without sacrificing the insights marketers need.
Best Privacy-First Analytics Tools for Marketers
A comprehensive comparison of privacy-first analytics tools for marketers. ReachOut, Plausible, Fathom, Matomo, and Simple Analytics compared.
Web Analytics comparison. The definitive guide for 2026
The web analytics market in 2026 is defined by a distinct trade-off between marketing utility and privacy compliance. Organizations must choose between deep integration with ad ecosystems or strict adherence to data minimization principles.
