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PostHog vs Crazy Egg

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

PostHog logo

PostHog

Analytics

Try PostHog
VS
Crazy Egg logo

Crazy Egg

Analytics

Try Crazy Egg

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 Crazy Egg

Crazy Egg is a visual website analytics tool that helps website owners and marketers understand how visitors interact with their pages through heatmaps, scroll maps, click reports, and session recordings. Founded by Neil Patel and Hiten Shah, it focuses on making complex user behavior data accessible and actionable without requiring deep technical expertise. The platform also includes a built-in A/B testing tool, allowing users to test changes and measure their impact on conversions directly. It's particularly well-suited for small to mid-sized businesses and marketing teams looking for a straightforward alternative to more complex analytics platforms like Hotjar or FullStory.

Pricing Comparison

Tool
PostHog
Crazy Egg
Price
Free — From $50/mo
Free — From $24/mo
Category
Analytics
Analytics
Rating
4.3 (30)
3.8 (18)
Free Plan
Yes
No
Integrations
8+ apps
8+ apps
Founded
2020
2006

Feature Comparison

Feature
PostHog
Crazy Egg
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
Heatmap visualization of user clicks
Scroll tracking to analyze engagement
A/B testing for optimized layouts
User session recordings for insights
Conversion rate tracking and analysis

Choose PostHog

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

Try PostHog Free

Read full review

Choose Crazy Egg

Visualize your website's performance with heatmaps and user behavior analytics.

Try Crazy Egg Free

Read full review

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Score Comparison

Ease of Use
7.0
8.0
Features
9.0
8.0
Pricing
8.0
7.0
Support
7.0
7.0
Integrations
8.0
8.0
Overall
7.8
7.6
PostHogCrazy Egg

Our Verdict

PostHogWinner

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

More affordable
More features
Crazy Egg

Pick Crazy Egg if you want to visualize user behavior on a budget, especially for small to medium websites.

Easier to get started

PostHog vs Crazy Egg: The Bottom Line

Both PostHog and Crazy Egg are strong analytics tools, but they serve different needs. PostHog has a higher user rating (4.3 vs 3.8). On pricing, PostHog is more affordable starting at $0/mo.

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

Frequently Asked Questions

Is PostHog or Crazy Egg better?

It depends on your needs. PostHog (4.3★) is free to start, while Crazy Egg (3.8★) is from $29/mo. PostHog has a higher user rating.

Can I switch from PostHog to Crazy Egg?

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

Which is cheaper, PostHog or Crazy Egg?

PostHog starts at $0/mo, which is cheaper than Crazy Egg at $29/mo. PostHog also offers a free plan.

What are the main differences between PostHog and Crazy Egg?

PostHog focuses on event tracking with user segmentation and cohort analysis for targeted insights, while Crazy Egg emphasizes heatmap visualization of user clicks and scroll tracking to analyze engagement. Both are in the Analytics category but serve slightly different use cases.