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Plausible vs PostHog
If you're evaluating Plausible and PostHog, you're looking at two of the strongest tools in the analytics space — and they're more different than they appear at first glance. Plausible is known for actionable product insights, while PostHog tends to win on actionable product insights. This guide cuts through the marketing to give you a straight answer on which one fits your situation.
Our Pick
Plausible
Wins for most teams. Choose PostHog if actionable product insights is your top priority.
Plausible
🏆 WinnerPrivacy-focused lightweight web analytics platform.
Starting price
Free plan available
PostHog
Open product analytics stack with feature flags and replay.
Starting price
Free plan available
⚡ Category-by-Category Breakdown
Plausible: 2 wins · PostHog: 1 winsWho Should Choose Which?
Choose Plausible if you…
- →Need actionable product insights
- →Need supports growth experiments
- →Need flexible reporting
Starting price
Free plan available
Choose PostHog if you…
- →Need actionable product insights
- →Need supports growth experiments
- →Need flexible reporting
Starting price
Free plan available
🔍 Feature Details
Plausible
- ✦Event tracking
- ✦Funnels and retention
- ✦Dashboards and cohorts
- ✦Session replay or heatmaps
- ✦Data exports and APIs
PostHog
- ✦Event tracking
- ✦Funnels and retention
- ✦Dashboards and cohorts
- ✦Session replay or heatmaps
- ✦Data exports and APIs
🎯 How Teams Use These Tools
Plausible
Visualise user behaviour flows
Build funnels showing how visitors move through your site — pinpoint drop-off points and test improvements.
Compare performance across segments
Slice data by device, location, source, or custom attributes to find which segments convert best.
Set up alerts for anomalies
Get notified when metrics spike (good or bad) so you can investigate and respond faster than competitors.
PostHog
Visualise user behaviour flows
Build funnels showing how visitors move through your site — pinpoint drop-off points and test improvements.
Compare performance across segments
Slice data by device, location, source, or custom attributes to find which segments convert best.
Set up alerts for anomalies
Get notified when metrics spike (good or bad) so you can investigate and respond faster than competitors.
💰 Pricing Compared
Verify current prices on each vendor's site — SaaS pricing changes frequently.
Plausible
PostHog
👍 Strengths & Weaknesses
Plausible
PostHog
Our Verdict
🏆 Plausible wins — a close call
After comparing features, pricing, and real-world fit, Plausible comes out ahead — a close call. Its advantage is clearest when it comes to actionable product insights and supports growth experiments. That said, PostHog is the smarter pick if actionable product insights is your top priority, and you're comfortable with the fact that instrumentation effort required.
Not sure which tool is right for your team?
ToolStack Radar is run by an independent IT consultant specialising in SaaS selection, Salesforce, and AI tool implementation for European businesses. We can help you choose, integrate, and get ROI from your software stack.
- ✓15+ years Salesforce experience
- ✓Swiss & EU B2B specialist
- ✓CRM, automation & AI tooling
- ✓Free 30-min discovery call
❓ Frequently Asked Questions
Is Plausible better than PostHog?▼
Plausible is the stronger all-round pick for most users, thanks to actionable product insights. However, "better" depends on your priorities — PostHog is a strong choice if actionable product insights.
Which is cheaper — Plausible or PostHog?▼
Both tools offer paid plans only. Check their pricing pages for the most current numbers, as SaaS pricing changes frequently.
Can Plausible and PostHog be used together?▼
In many cases, yes — some teams use both tools for different purposes. That said, if you're choosing one, focus on which covers your primary workflow. You can always add the other later.
Who is Plausible best for?▼
Plausible is best for teams that prioritise actionable product insights. It tends to suit users who need supports growth experiments without the overhead of more complex platforms.
What are the main drawbacks of PostHog?▼
The most common criticisms of PostHog are: instrumentation effort required, and can be costly at scale. Whether these matter depends heavily on your specific use case.
🔗 Related Comparisons
Make your decision
Ready to try Plausible?
Most teams see results within the first week. Start with the free plan if available.