Privacy-First Product Analytics: Options and Trade-Offs
Compare privacy-first product analytics options for funnels, retention, and feature usage without collecting more user data than your team needs.
Blog
Practical analytics guides, comparisons, and decision frameworks. Written to inform, not to sell.
Self-Hosted Analytics: A Setup and Maintenance Checklist
Explore a practical checklist for setting up and maintaining self-hosted analytics, ensuring your team can effectively manage data insights.
How to Choose a Web Analytics Tool: A Practical Framework
Selecting the right web analytics tool is crucial for effective decision-making. This framework helps navigate privacy, budget, and team skill considerations.
Open Source Web Analytics: Umami vs OpenPanel vs Matomo
A practical, source-backed comparison of three open-source analytics platforms, covering core features, hosting models, privacy posture, and ideal use cases.
Google Analytics 4 (GA4) Explained for Builders
A clear, source-backed explanation of GA4: the event-based model, web plus app measurement, server-side events, and data retention basics.
Revenue-First Analytics: DataFast vs GA4 vs Open Source
A practical comparison of revenue-first analytics versus GA4 and open-source tools, with a focus on attribution, setup effort, and data ownership.
Privacy-First Analytics: Definition, Benefits & Tools
Learn what privacy-first analytics means, how cookieless measurement works, and how to choose tools without sacrificing useful product insight.
Self-Hosted Analytics Stack Checklist
A practical checklist for teams that want to self-host analytics: infrastructure, security, data governance, and ongoing maintenance.
Product Analytics vs Web Analytics
Understand the difference between product analytics and web analytics, and why many teams use both.
Event-Based Analytics: A Practical Guide
Why event-based tracking matters, how GA4 implements it, and how to design clean events for product analytics.
Analytics Tool Decision Framework
A step-by-step framework to choose between SaaS, open-source, and enterprise analytics tools based on ownership, depth, and speed to value.