The privacy-first Google Analytics alternative.

About Simple Analytics

Simple Analytics is a privacy-focused web analytics tool that serves as an alternative to Google Analytics. It prioritizes the privacy of website visitors by collecting only essential data and never storing personally identifiable information. Operating on EU-based servers compliant with GDPR, it targets organizations and individuals valuing ethical data practices. The key value proposition is providing essential website analytics while safeguarding visitor privacy. The product offers a simple, user-friendly dashboard for insights without compromising privacy.

• Goals

  The Goals feature allows you to track specific actions or events on your website, such as form submissions, button clicks, or other user interactions. This can help you measure the success of your marketing campaigns, conversion funnels, and other business objectives.

• Mini Websites

  The Mini Websites feature allows you to create simple, privacy-focused landing pages or microsites that are powered by Simple Analytics. This can be useful for creating lead capture pages, product demos, or other focused web experiences without the need for a full-fledged website.

• Filters

  The Filters feature allows you to exclude certain traffic sources, pages, or user segments from your analytics data. This can help you focus on the most relevant and valuable data for your business, such as excluding internal team members, bots, or referral spam.

• Export Data

  The Export Data feature allows you to download your website's analytics data in various formats, such as CSV or JSON. This can be useful for integrating your data with other business intelligence tools, creating custom reports, or performing advanced analysis.

• Import Google Analytics Data

  The Import Google Analytics Data feature allows you to migrate your existing Google Analytics data to Simple Analytics. This can be helpful for users who want to switch to a more privacy-focused analytics solution while still preserving their historical data.