Plausible Analytics vs PostHog
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Plausible Analytics | PostHog |
|---|---|---|
| Pricing | From $9/month (10k pageviews); no free plan | Free up to 1M events/month; paid from $0.00033/event |
| Core Focus | Privacy-first web analytics (lightweight, cookie-less) | Product analytics + session replay + feature flags + data warehouse |
| Event/Pageview Limits | 10k monthly pageviews at $9; scales to $189+ | 1M free events/month (then usage-based) |
| Session Replay | Not available | 5K free recordings/month (mobile beta) |
| AI Features | AI Assistants channel (ChatGPT, Claude, Gemini, Perplexity) - June 2026 | AI observability (100K free events) + training own models (June 2026) |
| Open Source | Open source with EU-hosted cloud | Open source with self-hosting option |
PostHog is the choice for product teams that need deep user-level analysis, experimentation, and a data warehouse in one platform. Plausible is ideal for privacy-conscious website owners who want simple, lightweight, and cookie-less traffic analytics without the complexity of behavioral tools.
Open-source product OS unifying analytics, session replay, feature flags, and a data warehouse.
Visit WebsiteWho should pick which
- Solo founder building a SaaS productPick: PostHog
Free tier covers 1M events plus session replay and feature flags; can analyze user behavior and run A/B tests without upfront cost.
- Blogger or small content site focused on privacyPick: Plausible Analytics
Lightweight, cookie-less, and simple dashboard; $9/month for up to 10k pageviews is affordable and respects visitor privacy.
- Data team needing SQL access and data warehousePick: PostHog
PostHog includes a managed data warehouse with SQL editor and BI tools, plus direct exports to Snowflake/BigQuery.
- Agency managing multiple client websitesPick: Plausible Analytics
Multi-site sorting (by traffic or name) and white-label reporting; simple per-site billing or agency plans available.
- Ecommerce store wanting codeless revenue trackingPick: Plausible Analytics
Plausible offers codeless goals and revenue tracking with UTM campaign analysis; no SDK needed.
Frequently Asked Questions
Plausible Analytics vs PostHog: which should you choose?
PostHog is the choice for product teams that need deep user-level analysis, experimentation, and a data warehouse in one platform. Plausible is ideal for privacy-conscious website owners who want simple, lightweight, and cookie-less traffic analytics without the complexity of behavioral tools.
Which tool is better for privacy compliance?
Plausible is designed for privacy-first tracking with no cookies, no personal data, and EU-hosted infrastructure. PostHog also offers self-hosting for data control, but its default cloud uses cookies for session replay.
Can I track individual user behavior with both?
Only PostHog offers user-level analytics, session replay, and feature flags. Plausible does not track individual users; it aggregates pageviews and events anonymously.
Does either tool have a free plan?
PostHog has a generous free tier (1M events, 5K recordings, 1M feature flag requests). Plausible does not have a free plan; it starts at $9/month.
Which tool is better for A/B testing?
PostHog includes A/B testing via feature flags. Plausible does not support experimentation.
Can I integrate with Google Search Console?
Yes, both integrate with Google Search Console. Plausible has it as a native integration; PostHog via its data pipelines.
Which tool is more lightweight on page load?
Plausible's script is 45 KB, while PostHog's snippet is larger. Plausible is optimized for performance.
Does either tool support AI traffic insights?
Plausible added a dedicated AI Assistants channel (June 2026) showing traffic from ChatGPT, Claude, Gemini, Perplexity. PostHog is training its own AI models (announced June 2026) for product analytics.
Can I export raw data?
PostHog provides a managed data warehouse and SQL access; Plausible allows CSV exports but no raw event-level export.
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Last reviewed: May 12, 2026
