Head-to-head · Privacy analytics
Plausible Analytics vs Fathom Analytics
Plausible vs Fathom is the indie privacy-analytics fight. Both are right answers; the choice is stylistic.
Verified · editorial policy
Verdict
As of , the verdict is: Plausible and Fathom occupy the same category, the same principles, and the same approximate pricing band. Both are privacy-first, cookie-free, GDPR-by-construction web analytics SaaS run by small indie teams. The functional difference is minor; the choice is about which founders' aesthetic and operational style matches your own.
Plausible Analytics vs Fathom Analytics TL;DR
- Compared
- Plausible Analytics vs Fathom Analytics
- Category
- Privacy analytics
- TL;DR
- Plausible and Fathom occupy the same category, the same principles, and the same approximate pricing band. Both are privacy-first, cookie-free, GDPR-by-construction web analytics SaaS run by small indie teams. The functional difference is minor; the choice is about which founders' aesthetic and operational style matches your own.
- Plausible Analytics best for
- Buyers who value Plausible's open-source code base, public revenue dashboard, and EU-based team.
- Fathom Analytics best for
- Buyers who value Fathom's polished interface, U.S.-based hosting option, and slightly broader feature surface.
- Indie founder pick
- Depends — Try both free trials and pick on aesthetic preference. Neither is meaningfully more 'correct' for indie SaaS. The decision matters less than the decision to leave Google Analytics.
- Last verified
- May 17, 2026
Best for
Plausible Analytics is best for
Buyers who value Plausible's open-source code base, public revenue dashboard, and EU-based team.
Fathom Analytics is best for
Buyers who value Fathom's polished interface, U.S.-based hosting option, and slightly broader feature surface.
Pick Plausible Analytics if · Pick Fathom Analytics if
Pick Plausible Analytics if
- You value open-source code as a verifiability principle.
- You like the public revenue dashboard as a trust signal.
- You prefer the EU-based operator (relevant for some data-residency conversations).
Pick Fathom Analytics if
- You prefer Fathom's interface and reporting aesthetic.
- You need EU vs U.S. hosting choice for data residency.
- You value Fathom's specific feature additions (uptime, events).
Dimension-by-dimension
wins this dimension · tied · different shapes, not directly comparable
Pricing
Plausible Analytics
Starts ~$9/mo for 10K pageviews; scales linearly (verified 2026-05-17).
Fathom Analytics
Starts ~$15/mo for 100K pageviews; different tier structure but similar band (verified 2026-05-17).
Different shapes; competitive at similar volumes. Fathom is slightly cheaper at higher pageview tiers.
Open source
Plausible Analytics
Yes (AGPL); self-host free.
Fathom Analytics
Not open source.
Privacy and compliance
Plausible Analytics
Cookie-free, GDPR-by-construction.
Fathom Analytics
Cookie-free, GDPR-by-construction.
Public revenue transparency
Plausible Analytics
Public revenue dashboard.
Fathom Analytics
No public revenue.
Interface and dashboards
Plausible Analytics
Clean, opinionated, single-page focus.
Fathom Analytics
Slightly more polished, broader visualization options.
Stylistic preference; both are well-designed.
Uptime and events
Plausible Analytics
Custom events supported; no uptime monitoring.
Fathom Analytics
Custom events plus uptime monitoring bundled.
Geography of operations
Plausible Analytics
EU-based team; EU hosting.
Fathom Analytics
U.S.-based team; EU and U.S. hosting options.
Geography matters for some data-residency and operator-preference conversations.
Founder visibility and community
Plausible Analytics
Uku Taht and Marko Saric publish actively on the company blog and Twitter.
Fathom Analytics
Jack Ellis and Paul Jarvis publish actively on Twitter and via Fathom blog.
Honest take
Plausible vs Fathom is the rare comparison where both products are genuinely competitive at parity. The functional difference is minor — both deliver cookie-free, GDPR-compliant analytics with clean interfaces at similar prices. The choice usually comes down to aesthetic preference (Plausible's open-source-transparency aesthetic vs Fathom's polished-product aesthetic), geographic preference (EU vs U.S. ops), or specific feature need (uptime monitoring favors Fathom). Either choice is right; neither is wrong.
If you are an indie SaaS founder
It depends
Try both free trials and pick on aesthetic preference. Neither is meaningfully more 'correct' for indie SaaS. The decision matters less than the decision to leave Google Analytics.
Go deeper on either product
People also ask
What's the difference between Plausible Analytics and Fathom Analytics?
Plausible and Fathom occupy the same category, the same principles, and the same approximate pricing band. Both are privacy-first, cookie-free, GDPR-by-construction web analytics SaaS run by small indie teams. The functional difference is minor; the choice is about which founders' aesthetic and operational style matches your own.
Who should pick Plausible Analytics?
Buyers who value Plausible's open-source code base, public revenue dashboard, and EU-based team.
Who should pick Fathom Analytics?
Buyers who value Fathom's polished interface, U.S.-based hosting option, and slightly broader feature surface.
Plausible Analytics vs Fathom Analytics – FAQ
Are Plausible and Fathom really at parity?
On core privacy analytics functionality, yes. The differences are stylistic (open-source transparency vs polished product), feature-additive (uptime monitoring on Fathom), and geographic (EU vs U.S. operations). The core job — cookie-free web analytics with clean dashboards — is delivered equally well by both.
Should I self-host Plausible to save money?
Usually no, at least at first. Hosting and maintaining the self-hosted version costs real engineering time. Most users self-host only when subscription cost meaningfully exceeds maintenance cost, or for specific data-residency reasons.
What about Simple Analytics, Matomo, or PostHog?
Simple Analytics is another privacy-focused option with its own slant. Matomo is the open-source veteran with extensive features. PostHog is product analytics (events-heavy) more than web analytics. The Plausible vs Fathom choice is the canonical privacy-analytics pair; alternatives serve adjacent needs.
What is the Brunson lens on Plausible vs Fathom?
Both companies execute essentially the same Brunson positioning (Common Enemy: Google Analytics; principle: privacy) with slightly different Attractive Character (Uku Taht and Marko Saric vs Jack Ellis and Paul Jarvis). The market is large enough to support both; neither needs to win against the other.
Building a SaaS that wins this kind of comparison?
The 90-second diagnostic labels what is broken on your offer: Wrong Person, Weak Offer, or Weak Belief. When your buyer is comparison-shopping, the offer page is usually where you lose them.