Friendly Analytics vs Offen Fair Web Analytics

Vergleichen Sie Friendly Analytics und Offen Fair Web Analytics nach Funktionen, Rechtsraum, Nachweisen und Einsatzpassung.

Beide als Alternativen zu: Fathom Analytics, Google Analytics, Hotjar, Matomo

Hervorgehobene Zeilen unterscheiden sich zwischen den Produkten.

Friendly Analytics vs Offen Fair Web Analytics: Überblick
MerkmalLogo: Friendly AnalyticsFriendly AnalyticsLogo: Offen Fair Web AnalyticsOffen Fair Web Analytics
HerkunftslandSwitzerlandGermany
KategorieWeb AnalyticsWeb Analytics
Open SourceJaJa
Self-HostedJaJa
Zusammenfassung

Swiss Matomo-as-a-Service: cookieless-by-default web analytics with heatmaps, funnels, and ecommerce, product data hosted in Switzerland, plus enterprise DPA and on-prem options.

Open-source, self-hosted web analytics with opt-in consent, browser-side end-to-end encryption, and a shared Auditorium so visitors can see and control their own usage data.

Tags
analyticsprivacyopen-sourcegdprself-hostedmatomoswitzerlandnfadpenterprise
analyticsprivacyopen-sourcegdprself-hostedopt-ine2e-encryption

Friendly Analytics

  • Cookieless Tracking and No Banner Requirement

    Friendly Analytics operates without cookies by default, eliminating the need for pop-up banners. This setup complies with GDPR and Switzerland's nFADP, while avoiding conversion drops linked to intrusive notices—studies show banners can cut rates by up to 10%. IP addresses anonymize automatically, and data retention periods adjust for compliance.

  • Heatmaps, Session Recordings, and Funnels

    Visual tools reveal user interactions: heatmaps show clicks and scrolls, privacy-safe session replays demonstrate journeys, and funnel analysis pinpoints drop-offs in conversions or forms. These provide concrete UX improvements without personal data collection, aiding decisions on page design and content.

  • Tag Manager, A/B Testing, and E-Commerce Tracking

    A built-in tag manager deploys codes flexibly. A/B tests compare page variants, e-commerce reports detail sales and carts, and ad exports feed conversions to Google or Bing APIs privately. Custom reports, real-time views, and segmentation round out the toolkit for precise performance measurement.

Offen Fair Web Analytics

  • Self-Hosted Deployment with Minimal Overhead

    Offen installs via a single binary or Docker image, requiring basic server resources. Operators embed a script to track pages across sites. No complex setup—configuration happens through environment variables. This keeps data on-premises, aiding compliance and reducing latency. Supports subdomains and team sharing for enterprises managing multiple properties.

  • User-Controlled Data Access via Auditorium

    Users enter the Auditorium with a first-party cookie to view their metrics: unique sessions, top pages visited. Explanations clarify each stat's meaning and privacy impact. Opt-out or data deletion is instant. Operators see aggregates like real-time page views, unique users, without personal identifiers. End-to-end encryption prevents server access to raw data.

  • Essential Metrics and Filtering Options

    Track page views, unique users/sessions, top pages, weekly retention. Filter by URL patterns, location, referrer, UTM parameters, landing, or exit pages. Real-time updates and visualizations help optimize content. No bloat—focuses on actionable insights without invasive profiling.

  • Customizable Consent and Multilingual Support

    The consent banner adjusts for color, shape, and fonts. Displays in users' preferred language from six options. Developers extend via open-source contributions. Comprehensive docs cover monitoring, UTM tagging, and troubleshooting.