Plausible Analytics
SISTRIX
| Feature | SISTRIX | |
|---|---|---|
| Pricing | From $9/mo | From $99/mo |
| Free Plan | ✗ No | ✗ No |
| Rating | 4.6 / 5 | 4.4 / 5 |
| Best For | privacy-conscious-businesses, bloggers, developers, eu-businesses | european-seo-teams, agencies, enterprise-brands, in-house-seo |
| Founded | 2019 | 2008 |
| Pageviews | ✓ | ✗ |
| Referrers | ✓ | ✗ |
| Goals | ✓ | ✗ |
| Custom Events | ✓ | ✗ |
| Utm Tracking | ✓ | ✗ |
| Api | ✓ | ✗ |
| Self Hosting | ✓ | ✗ |
| Visibility Index | ✗ | ✓ |
| Keyword Research | ✗ | ✓ |
| Competitor Analysis | ✗ | ✓ |
| Content Assistant | ✗ | ✓ |
| Link Module | ✗ | ✓ |
| Optimizer | ✗ | ✓ |
✓ Plausible Analytics Pros
- No cookies — GDPR compliant without consent banner
- Script is under 1KB (vs GA's 45KB)
- Open-source and transparent
- Simple dashboard — no overwhelming data
✗ Plausible Analytics Cons
- Less detailed than Google Analytics
- No free tier (but affordable)
- Limited segmentation and custom reports
✓ SISTRIX Pros
- Best visibility index in Europe
- Comprehensive toolbox
- Strong competitive analysis
- Reliable historical data
✗ SISTRIX Cons
- More expensive than alternatives
- EU-focused (less US data)
- Learning curve for beginners
The Verdict
Plausible Analytics is built for privacy conscious businesses and bloggers, with a focus on pageviews and referrers. SISTRIX targets european seo teams and agencies and leads with visibility-index and keyword-research.
On pricing, Plausible Analytics is the clear winner for budget-conscious users — starting at $9/mo compared to $99/mo for SISTRIX. That $90/mo difference adds up quickly for growing teams.
Neither tool offers a free plan, so factor the subscription cost into your decision from the start.
Feature-wise, Plausible Analytics offers broader built-in capabilities (7 features vs 6), while SISTRIX takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.