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PostHog

PostHog

Open-source product analytics suite with session replay, feature flags, and A/B testing

4.6(780)
analytics

Price

Free / $0.00031 per event

Used by

85,000+ builders

Model

freemium

Best for

SaaS products

Quick Verdict — Score: 90/100

PostHog is the modern product analytics stack in one tool. The combination of analytics + session replay + feature flags + A/B testing in a single platform with a generous free tier makes it the default choice for startups. The open-source option with self-hosting provides data sovereignty that no proprietary competitor can match.

Who Is This For

Product teams who need actionable user behavior insights, developer-focused startups that value data ownership, growth teams running experiments with feature flags and A/B tests, and any company that wants to consolidate their analytics stack (replacing 3-4 tools with one).

Who Is This NOT For

Pure marketing teams that only need web traffic analytics (Google Analytics is simpler), companies with very simple analytics needs (<10K monthly users), or teams without technical resources for self-hosting (use their cloud option instead).

Pros

  • +All-in-one platform replaces Mixpanel + LaunchDarkly + Hotjar + Typeform
  • +Open-source core with self-hosting option = no vendor lock-in
  • +Extremely generous free tier (1M events/month on cloud)
  • +Active community and transparent product development

Cons

  • -Self-hosting requires DevOps knowledge and ongoing maintenance
  • -SQL access is powerful but requires technical skills to leverage fully
  • -Some enterprise features (SSO, audit logs) locked behind Scale/Enterprise plans
  • -Documentation can lag behind rapid feature releases

Key Features

Product Analytics: Funnels, retention, trends, paths — all with SQL access to raw data
Session Replay: Watch real user sessions with automatic privacy masking
Feature Flags: Gradual rollouts, beta features, and kill switches without deploying code
A/B Testing: Built-in experimentation with statistical significance calculations
Surveys: In-app NPS, CSAT, and custom surveys with targeting
Event Autocapture: Automatically track clicks, inputs, and pageviews without manual setup
Data Warehouse: Direct SQL access to your raw event data for custom analysis
Self-Hosted Option: Deploy on your own infrastructure for complete data sovereignty

Pricing Breakdown

Cloud Free: 1M events/month, all features. Cloud Paid: $0.00031 per additional event (≈$310 per 1M events). Self-Hosted: Free, pay only your infrastructure costs. Scale: Starting at $450/month for higher volumes and dedicated support. Enterprise: Custom pricing for SSO, audit logs, and SLA.

Starting Price

Free / $0.00031 per event

Pricing Model

freemium

Free Tier

Yes

Quick Setup Guide

1. Choose Cloud (faster) or Self-Hosted (data ownership). 2. Install JavaScript snippet or SDK for your stack. 3. Define key events manually or rely on autocapture. 4. Create dashboards for your core metrics. 5. Set up feature flags for your next release. 6. Enable session replay and watch real user sessions.

Real-World Results

Companies using PostHog report finding 2-3 critical UX issues in their first week of session replay analysis. Feature flag-driven rollouts reduce deployment-related incidents by 80%. Teams save an average of $300-800/month by consolidating analytics + feature flags + A/B testing into PostHog.

Bottom Line

PostHog is the analytics platform for builders who want to understand their users deeply without paying enterprise prices or sacrificing data ownership. Start on the free tier, self-host when you need data sovereignty. It's one of the few tools where the free tier is genuinely sufficient for most early-stage products.

What Builders Say

J

James Wilson

CTO, DevMetrics

5.0

PostHog helped us discover that 70% of new users were dropping off at our onboarding step 3. After fixing it with a feature flag-driven redesign, our activation rate went from 18% to 42%. We couldn't have done this with just Google Analytics.

🎯 Activation rate: 18% → 42% after onboarding funnel fix, 70% drop-off identified

Community Reviews (1)

D

David Kim

Verified

2026-04-28

5.0

Discovered a $50K growth opportunity in our onboarding

I set up PostHog on a Friday afternoon and by Monday morning we had identified a critical drop-off in our onboarding. 70% of new users were abandoning at step 3 — a feature explanation screen that was too technical. We used PostHog's feature flags to roll out a simplified version to 50% of users, confirmed the fix through A/B testing, and our activation rate jumped from 18% to 42%. I've used Mixpanel, Amplitude, and Google Analytics — none of them could have caught this as quickly or let us fix it so smoothly.

👍 55 found helpful

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