Crazy Egg vs GoodData Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Crazy Egg GoodData
Starts at $29/mo Custom
Number of plans 4 2
Free plan
Free trial
Pricing model usage-based custom

Starter

$29/mo
  • 5,000 tracked pageviews/mo
  • 5 Heatmap Reports
  • 50 Recordings/mo
  • 6 months of Recordings storage
  • Unlimited website domains
  • Unlimited team members

Plus

$99/mo
  • 150,000 tracked pageviews/mo
  • 75 Heatmap Reports
  • 1,000 Recordings/mo
  • 2 years of Recordings storage
  • Unlimited website domains
  • Unlimited team members
  • Unlimited A/B Testing, CTAs & Error Tracking

Pro

Popular
$249/mo
  • 500,000 tracked pageviews/mo
  • 100 Heatmap Reports
  • 5,000 Recordings/mo
  • 2 years of Recordings storage
  • Unlimited website domains
  • Unlimited team members
  • Unlimited A/B Testing, CTAs & Error Tracking

Enterprise

$599/mo
  • 1,000,000 tracked pageviews/mo
  • 200 Heatmap Reports
  • 10,000 Recordings/mo
  • 2 years of Recordings storage
  • Unlimited website domains
  • Unlimited team members
  • Unlimited A/B Testing, CTAs & Error Tracking

Professional

Custom
  • Analytics features and BI capabilities
  • Full embedding functionality
  • Multi-tenancy and branding

Enterprise

Custom
  • Custom agents and Agent Builder
  • Context Management and AI governance
  • SLA support and dedicated customer success

Crazy Egg vs GoodData FAQ

Which one is cheaper?
One or both use custom pricing, so it depends on your specific needs.
Can I use either one for free?
Neither has a free plan. But Crazy Egg offers a free trial.
How do they charge?
Different approach here. Crazy Egg uses usage-based pricing, while GoodData goes with custom. That changes the math depending on your team size and usage.
Which one is a better deal?
Depends on what you need. GoodData: With zero public pricing and no free trial, GoodData positions itself as an enterprise-grade, sales-led platform rather than a self-serve tool competing on price. They're chasing mid-market to large companies embedding analytics into their own products, not startups comparison-shopping against Metabase or Looker Studio.

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