Crazy Egg vs PostHog: Which Is Better in 2026?

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

Our Pick: PostHog

PostHog has a significantly higher overall rating (8.5 vs 7.5)

Quick Comparison

Aspect
C
Crazy Egg
P
PostHog(Winner)
Overall Rating
7.5/10
8.5/10
Starting Price
$29/mo
Free
Free Plan
Free Trial
Best For
small
medium
Ease of Use
9/10
7/10
Features
7/10
9/10
Value for Money
7/10
10/10
Support
7/10
7/10

Overview

Crazy Egg provides heatmaps, scrollmaps, and A/B testing to help optimize website conversions. One of the original heatmap tools on the market.

PostHog is an open-source product analytics suite with event tracking, session recording, feature flags, and A/B testing. Can be self-hosted for full data control.

Pricing Comparison

Better value: PostHog
C

Crazy Egg

Pricing ModelPaid
Starting Price$29/mo
Free Trial
Free Tier
P

PostHog

Better Value
Pricing ModelFreemium
Starting PriceFree
Free Trial
Free Tier

Features Comparison

Winner: PostHog
FeatureCrazy EggPostHog
Web Analytics
Product Analytics
Heatmaps
Session Recording
Funnel Analysis
Privacy Focused
Self-host option
Real Time
Ab Testing
Data Retention
12 months
Configurable
Custom Events

0

features unique to Crazy Egg

5

features unique to PostHog

Pros & Cons

C

Crazy Egg

Pros

  • Easy to use heatmaps
  • Quick to set up
  • A/B testing included
  • Snapshot feature
  • Good for CRO basics

Cons

  • Limited page views on plans
  • No real-time analytics
  • Fewer features than Hotjar
  • Can get expensive
P

PostHog

Pros

  • Generous free tier
  • Open source, can self-host
  • All-in-one product analytics
  • Feature flags included
  • Session recording free

Cons

  • Self-hosting requires DevOps
  • UI not as polished
  • Can be complex to set up
  • Newer platform

The Verdict: PostHog Wins

After thorough evaluation, PostHog emerges as the clear winner in this comparison. With an overall rating of 8.5/10 compared to 7.5/10, it offers a noticeably better experience across most evaluation criteria.

PostHog particularly excels in Startups wanting free analytics and Teams wanting data ownership, making it the go-to choice for most users looking for a analytics solution.

Our recommendation: We confidently recommend PostHog for most users. However, Crazy Egg remains a viable option if you specifically need quick heatmap insights.

Choose Crazy Egg if you...

  • • Need quick heatmap insights
  • • Need simple a/b testing
  • • Need conversion optimization basics

Choose PostHog if you...

  • • Need startups wanting free analytics
  • • Need teams wanting data ownership
  • • Need product-led companies

Ready to Get Started?

* We may earn an affiliate commission when you visit these tools through our links. This doesn't affect our ratings or comparisons.

Crazy Egg vs PostHog FAQ

Based on our evaluation, PostHog has a slight edge with an overall rating of 8.5/10. However, the best choice depends on your specific needs and use case.
Yes, PostHog is more affordable with plans starting at $0/month, compared to $29/month for the other.
Crazy Egg scores higher in ease of use (9/10) compared to PostHog (7/10).
Yes, migration between Crazy Egg and PostHog is possible. Most tools offer data export features. Check each tool's documentation for specific migration guides and import capabilities.
For small teams, Crazy Egg is specifically designed for this use case. Consider your budget and specific feature needs when choosing.
For startups, consider your growth trajectory. PostHog offers a free tier which is great for bootstrapped startups.
Yes, each tool has unique strengths. Crazy Egg excels at: Quick heatmap insights, Simple A/B testing. PostHog is better for: Startups wanting free analytics, Teams wanting data ownership. Review our detailed feature comparison above.
Both tools have similar support ratings at 7/10.
PostHog offers better value for money with a rating of 10/10 compared to Crazy Egg's 7/10.
Consider switching if PostHog's strengths (Startups wanting free analytics) align better with your current needs. However, factor in migration effort and learning curve before making the switch.