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PostHog vs FullStory

A detailed comparison to help you choose the right tool for your needs.

PostHog logo

PostHog

Analytics

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VS
FullStory logo

FullStory

Analytics

Try FullStory

A
About PostHog

PostHog is an open-source product analytics platform that combines event tracking, session recordings, feature flags, A/B testing, and a data warehouse into a single tool. It's designed for engineering and product teams who want full control over their data, with the option to self-host or use the cloud version. What makes PostHog unique is its all-in-one approach — replacing multiple tools like Mixpanel, LaunchDarkly, and Hotjar — along with its transparent, open-source codebase. The platform is especially popular with developer-centric startups and scale-ups who value data ownership and prefer to avoid vendor lock-in.

B
About FullStory

FullStory is a digital experience intelligence platform that captures every user interaction on your website or app, allowing teams to replay sessions, analyze behavior patterns, and identify friction points. It goes beyond traditional analytics by automatically indexing every click, scroll, and page transition without requiring manual event tagging, which it calls 'autocapture.' Product managers, UX designers, engineers, and marketers use it to understand why users behave the way they do — not just what they did. Its DX Data Engine and search capabilities let you quickly find relevant sessions and quantify the impact of bugs or UX issues. It's a powerful tool, though its pricing can be a barrier for smaller teams.

Pricing Comparison

Tool
PostHog
FullStory
Price
Free — From $50/mo
Custom pricing
Category
Analytics
Analytics
Rating
4.3 (30)
4.0 (14)
Free Plan
Yes
No
Integrations
8+ apps
8+ apps
Founded
2020
2014

Feature Comparison

Feature
PostHog
FullStory
Event tracking with user segmentation
Cohort analysis for targeted insights
Heatmaps for user interaction visualization
Feature flags for A/B testing
Session recording for user behavior analysis
Session replay for user interactions
Heatmaps for user engagement analysis
Conversion funnel tracking
Error tracking and reporting
User segmentation for targeted insights

Choose PostHog

PostHog is a powerful product analytics tool designed for modern teams.

Try PostHog Free

Read full review

Choose FullStory

FullStory is a digital experience analytics tool that captures user interactions.

Try FullStory Free

Read full review

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Score Comparison

Ease of Use
7.0
7.0
Features
9.0
9.0
Pricing
8.0
5.0
Support
7.0
8.0
Integrations
8.0
9.0
Overall
7.8
7.6
PostHogFullStory

Our Verdict

PostHogWinner

Your mid-sized product team needs advanced analytics without upfront costs for experimentation.

More affordable
FullStory

You need deep insights into user interactions for a digital experience-focused project.

Better support
More integrations

PostHog vs FullStory: The Bottom Line

Both PostHog and FullStory are strong analytics tools, but they serve different needs. PostHog has a higher user rating (4.3 vs 4.0). On pricing, PostHog is more affordable starting at $0/mo.

Still unsure? Check the full reviews for PostHog and FullStory, explore PostHog alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is PostHog or FullStory better?

It depends on your needs. PostHog (4.3★) is free to start, while FullStory (4.0★) is from $100/mo. PostHog has a higher user rating.

Can I switch from PostHog to FullStory?

Yes. Most SaaS tools offer data export features. Check if FullStory has a migration guide or import tool specifically for PostHog users. Many offer onboarding assistance for switchers.

Which is cheaper, PostHog or FullStory?

PostHog starts at $0/mo, which is cheaper than FullStory at $100/mo. PostHog also offers a free plan.

What are the main differences between PostHog and FullStory?

PostHog focuses on event tracking with user segmentation and cohort analysis for targeted insights, while FullStory emphasizes session replay for user interactions and heatmaps for user engagement analysis. Both are in the Analytics category but serve slightly different use cases.