Open Analytics is a cookieless Google Analytics alternative that provides revenue attribution and an MCP server for understanding the customer journey.
Why it matters
overview
Open Analytics is an AI-native platform developed by Open Analytics (company) that enables business owners, marketers, growth teams, and developers to understand traffic and revenue with privacy-first web analytics. It provides a cookieless Google Analytics alternative with revenue attribution and an MCP server, tracking the customer journey from first visit to purchase.
features
Open Analytics offers a comprehensive suite of features designed for privacy-first web analytics and customer journey understanding. The platform integrates AI capabilities and provides detailed insights into user behavior and revenue generation.
use cases
Open Analytics is designed for various stakeholders seeking detailed web analytics with a strong emphasis on privacy and revenue attribution. Its features cater to both technical and business-oriented users.
how to use
To begin using Open Analytics, users typically sign up for a subscription plan, integrate the tracking script into their website, and then utilize the dashboard for data analysis and insights.
pricing
Open Analytics operates on a paid subscription model with three distinct tiers, offering varying event limits and site allowances. All plans include core features such as real-time dashboards, revenue attribution, and Core Web Vitals monitoring. The pricing structure is based on monthly events, with an explicit statement that every plan is paid from the first day, emphasizing their business model is not based on selling visitor data.
Similar Tools
Open Analytics positions itself as an AI-native, privacy-first web analytics platform, offering a comprehensive alternative to traditional and other privacy-focused analytics tools. Its competitive edge lies in its cookieless tracking, explicit revenue attribution, and AI-powered features.
It offers simple, privacy-friendly web analytics without cookies, focusing on essential insights and user journeys.
Plausible provides a streamlined, privacy-first approach to web analytics, similar to Open Analytics' cookieless tracking. While it offers revenue tracking through goals, its customer journey mapping might be less granular out-of-the-box than Open Analytics' explicit 'every step of the customer journey' focus, requiring more custom event setup.
It is a powerful, open-source analytics platform that can be self-hosted for complete data ownership and configured for cookieless tracking.
Matomo offers a comprehensive suite of analytics features, including detailed customer journey and e-commerce tracking, which can be configured to be cookieless. The trade-off for the free, self-hosted version is the need for technical expertise to set up and maintain the server, unlike the fully managed service of Open Analytics.
It provides a simple, privacy-focused, and open-source web analytics solution that is easy to deploy and use.
Umami excels in providing basic, cookieless web analytics with a focus on simplicity and privacy, making it a genuinely free alternative. However, it offers less advanced features for deep revenue attribution and multi-channel customer journey analysis compared to Open Analytics, requiring more manual effort or custom development for complex insights.
It is an open-source product analytics platform that combines analytics, session replays, feature flags, and A/B testing, with options for cookieless tracking.
PostHog offers a broader product analytics suite, including event-based tracking, funnels, and user paths, which can be used for customer journey and revenue attribution, and can be configured for privacy. While it provides powerful insights into user behavior, its primary focus is product analytics, which might require a different workflow or more configuration to replicate the specific revenue attribution and MCP server capabilities of Open Analytics.
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