Guide

Free analytics for startups

Startups need analytics that cost nothing today and don’t become a liability at scale. Here’s how to think about “free,” and the strongest free options for product and web analytics.

Two meanings of “free”

When a startup looks for free analytics, there are two very different offers on the table. The first is a SaaS free tier: nothing to run, but a monthly event cap, after which pricing scales — sometimes steeply. The second is self-hosted open source: free of licensing cost forever, with no event cap, in exchange for running it on your own infrastructure. Knowing which you’re choosing prevents a nasty surprise six months in.

The hidden cost of free tiers

Free tiers are great for getting started, but growing startups hit the event cap exactly when things are going well — and that’s when per-event pricing kicks in. Because analytics volume tracks your growth, the bill grows with you. If you expect meaningful traffic, it’s worth checking the pricing past the free tier before you commit, so a migration isn’t forced on you later.

Free product analytics

For understanding in-app behavior — funnels, retention, user flows — your free options are a SaaS free tier or a self-hosted open source tool. Pug is open source (AGPL-3.0) and self-hosts for free with no event cap; it runs as a single Go binary, which keeps the ops burden low for a small team, and its managed cloud is free during open beta. PostHog offers a generous free tier and far more breadth (replay, flags, experiments) if you want one platform. See the deeper open source product analytics guide for how these work.

Free web analytics

If you mainly need traffic and source reporting, lightweight tools are effectively free to self-host: Plausible and Umami are privacy-first and tiny to run, while Matomo is a fuller Google Analytics replacement. Google Analytics itself is free, but your data lives with Google — if that’s a concern, our free Google Analytics replacement guide covers the alternatives.

What to pick, by stage

  • Pre-launch / tiny: start on a free tier or a single self-hosted binary — whatever gets you data fastest.
  • Growing fast: watch the free-tier cap. If event volume is climbing, self-hosting open source avoids per-event pricing.
  • Data-sensitive from day one: choose a self-hostable open source tool now, so events never leave your servers and you never have to migrate for compliance reasons.

A good rule of thumb: pick something you can self-host even if you start on its cloud, so “free” stays free as you grow.

FAQ

Common questions

What’s the best free analytics tool for a startup?

It depends on the question. For free product analytics you own, self-hosted open source tools like Pug cost nothing but infrastructure. For zero-ops free tiers, most SaaS product-analytics tools offer a generous free allowance. For website traffic, lightweight tools like Plausible or Umami self-host for free.

Free as in free tier, or free as in self-hosted?

Two different kinds of free. SaaS “free tiers” cost nothing until you exceed an event cap, then pricing scales. Self-hosting open source is free of licensing cost forever — you only pay for the server. Startups often start on a free tier and self-host once volume or data-ownership matters.

Will I outgrow a free analytics tool?

Free SaaS tiers have event caps that growing startups hit, after which bills can climb fast. Self-hosting avoids per-event pricing entirely, so it scales with your hardware rather than your event volume — worth considering early to avoid a painful migration later.

Do free analytics tools own my data?

SaaS tools store your events on their infrastructure. Self-hosted open source tools keep data on your servers. If owning your data matters, prefer a self-hostable option from the start.

Free analytics that scales with you

Pug self-hosts for free forever, and the managed cloud is free during open beta. No event caps, no surprise bills.