Plausible Analytics icon

Plausible Analytics

★★★★★ 4.6
VS
PostHog icon

PostHog

★★★★★ 4.5
Feature Plausible Analytics PostHog
Pricing From $9/mo Free / from $0/mo
Free Plan ✗ No ✓ Yes
Rating 4.6 / 5 4.5 / 5
Best For privacy-conscious-businesses, bloggers, developers, eu-businesses developers, startups, product-teams, privacy-conscious-companies
Founded 2019 2020
Pageviews
Referrers
Goals
Custom Events
Utm Tracking
Api
Self Hosting
Product Analytics
Session Replay
Feature Flags
Experiments
Surveys
Data Warehouse

✓ 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

✓ PostHog Pros

  • All-in-one analytics replacing multiple tools
  • Generous free tier (1M events/month)
  • Self-hostable for full data control
  • Feature flags and experiments built-in

✗ PostHog Cons

  • Can be complex to set up properly
  • Self-hosting requires infrastructure maintenance
  • Less polished UI than Amplitude

The Verdict

Plausible Analytics is built for privacy conscious businesses and bloggers, with a focus on pageviews and referrers. PostHog targets developers and startups and leads with product-analytics and session-replay.

On pricing, PostHog is the clear winner for budget-conscious users — starting at $0/mo compared to $9/mo for Plausible Analytics. That $9/mo difference adds up quickly for growing teams.

PostHog has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Plausible Analytics requires a paid subscription from day one.

Both tools are a solid fit for developers — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

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.

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