Learn product analytics
Guides, comparisons, and benchmarks — the evergreen library. Looking for engineering deep-dives? Those live on the blog.
Guides & explainers
Plain-English walkthroughs of how open-source product analytics works.
Open-source product analytics, explained
What it is, how events and identity work, and the core insight types.
ReadProduct analytics vs web analytics
What each measures, and when to reach for which.
ReadEvent tracking with open source
Autocapture and manual events, identity, and a clean tracking plan.
ReadPrivacy-first analytics & GDPR
Data minimisation, cookies, and why self-hosting helps compliance.
ReadFree analytics for startups
Free tiers vs self-hosted, and how to avoid event-cap bills.
ReadComparisons & roundups
How the tools stack up, and where Pug fits among them.
Best product analytics tools
Amplitude, Mixpanel, Heap, PostHog, Pug — compared and ranked.
ReadBest open-source analytics tools
Web vs product, self-hosting, and who each one is for.
ReadBest self-hosted analytics
Footprint, cost to run, and who each one fits.
ReadBest PostHog alternatives
Alternatives to PostHog ranked — focus, ownership, simplicity.
ReadBest Mixpanel alternatives
Leave the per-event bill — alternatives by reason for switching.
ReadCompare Pug to the alternatives
Honest, side-by-side comparisons — with where each one wins.
ReadMetric benchmarks
What “good” looks like for the numbers teams obsess over — honestly hedged.
What is a good retention rate?
Benchmarks by business model and how to read your retention curve.
ReadWhat is a good conversion rate?
Why benchmarks vary so much, and how to set your own.
ReadLTV:CAC ratio, explained
The 3:1 rule of thumb, its caveats, and why payback matters.
ReadWhat is a good NPS score?
The heuristic bands, and why NPS is a direction, not a verdict.
ReadSee it in a real product.
Pug is open-source product analytics with unified profiles — autocapture, funnels, retention, and flows. Self-host under AGPL-3.0, or use the free cloud beta.