Why the Open-Source, privacy-first tool Umami is more accurate than Google Analytics

Why the Open-Source, privacy-first tool Umami is more accurate than Google Analytics

Your Google Analytics data is likely wrong.

By default, it's blind to ~69% of your traffic.

That's not a typo. GA is subject to significant data-loss-by-design. Because it's a surveillance tool, it must ask for cookie consent. Most users decline. The rest are hidden by ad blockers.

The result? The data you use for product decisions is incomplete and sampled.

This brings us to the great analytics paradox: To get 100% of your website data, you have to collect less of it.

This is where the open-source alternative Umami comes into play. Its entire architecture bypasses this problem. It's cookieless and anonymizes 100% of data. It doesn't collect any "Personally Identifiable Information" (PII), so it doesn't require a consent banner to operate.

That means for you: You see 100% of your traffic.

Beyond accuracy, this approach gives you:

But how does it stack up to other Open-Source alternatives:

Current situation & recommendations:

Umami just released v3.0.0, evolving from a simple web tracker to a true product analytics tool (funnels, cohorts, tracking pixels). This is a massive leap.

BUT: The current open-source v3.0.0 release is not stable (yet). It's full of critical bugs (geo-location, revenue, and API failures to name a few).

So, here is my advice based on your setup:

Sources:

Official website: https://umami.is/
Github repository: https://github.com/umami-software/umami
Umami v3 release: https://umami.is/blog/umami-v3