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.
Analytics
- Heatmaps
- Session Recordings
- Web Analytics
- Surveys (unlimited responses)
- Error Tracking
- Conversion Funnels
- AI Analysis
- Unlimited website domains
- Unlimited team members
- Tracked Pageviews Capacity
- Recordings Capacity
- Recordings Visibility Limit
- Live Activity Feed
- Connected GA4 Properties
- Conversion Analytics
- Surveys
- Remove Crazy Egg Watermark
- Number of Websites Included
- Number of Team Members
- Server-side Conversions API
- Role-based Access Control
Growth
Popular- Heatmaps
- Session Recordings
- Web Analytics
- Surveys (unlimited responses)
- Error Tracking
- Conversion Funnels
- AI Analysis
- Unlimited website domains
- Unlimited team members
- A/B Testing
- Targeting by device type
- CTAs
- Tracked Pageviews Capacity
- Recordings Capacity
- Recordings Visibility Limit
- Live Activity Feed
- Connected GA4 Properties
- Conversion Analytics
- GA4 Integration for A/B Testing
- Audience Targeting
- Surveys
- Remove Crazy Egg Watermark
- Number of Websites Included
- Number of Team Members
- Server-side Conversions API
- Role-based Access Control
Enterprise
- AI Data Connectors
- Personalization (full targeting)
- SAML Single Sign-On (SSO)
- Compliance Audit Log
- Model Context Protocol (MCP)
- Heatmaps
- Session Recordings
- Web Analytics
- Error Tracking
- Conversion Analytics
- Conversion Funnels
- A/B Testing
- GA4 Integration for A/B Testing
- CTAs
- Audience Targeting
- Surveys
- Remove Crazy Egg Watermark
- AI Analysis
- Export Heatmaps & Recordings in AI Format
- Number of Websites Included
- Number of Team Members
- Server-side Conversions API
- Priority Support
- Live Onboarding & Training
- Role-based Access Control
- Single Sign-On (SSO)
- Compliance Audit Log
Professional
- Analytics features and BI capabilities
- Full embedding functionality
- Multi-tenancy and branding
- Analytics Catalog
- IDE Extension
- React and Python SDK for Gen AI
- Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Greenplum, Microsoft SQL Server, PostgreSQL, Snowflake, Synapse SQL, Vertica, and more
- Data blending across multiple sources
- Fully managed SaaS on AWS, Azure
- Single sign-on (SSO)
- Data centers include US, EU, Australia, Canada*, Singapore*, India*, Japan*, and Middle East* (*on demand)
- Unlimited number of self-service reports and dashboards
- Custom dashboard plugin extensions
- Custom themes and branding per customer
- Custom domain URL
- Localized display language
- Governed content publishing across tenants
- Smart Search for easy discovery
- Forecasting and Clustering capabilities
- Technical support
- Whitelabeling
- iFrame, Web Components, and APIs for embedding
- React SDK for building custom UIs
- Python SDK for backend management
- Semantic layer supporting reusable, resilient, and context-aware metrics
- Built-in multitenancy with hierarchical workspaces
- Declarative API for all metadata definitions
- Open-source metadata and lifecycle management tooling (coming soon)
- Environments
- SOC 2 certification
- GDPR, and ISO 27001 compliance
- Cache results
- FlexQuery storage
Enterprise
- Custom agents and Agent Builder
- Context Management and AI governance
- SLA support and dedicated customer success
- AI Assistant with 20+ Analytics Skills
- Dashboard Copilot
- Summarization Copilot
- Custom Agents
- Agent Builder
- Analytics Catalog
- AI Memory
- AI Knowledge
- Semantic Quality Agent
- Anomaly Detection
- Key Driver Analysis
- Forecasting
- Clustering
- AI Usage Analytics
- Observability
- BYOLLM
- MCP Server with 30+ Tools
- A2A Protocol
- IDE Extension
- React and Python SDK for Gen AI
- Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Greenplum, Microsoft SQL Server, PostgreSQL, Snowflake, Synapse SQL, Vertica, and more
- Data blending across multiple sources
- Fully managed SaaS on AWS, Azure
- Single sign-on (SSO)
- Dedicated cluster
- Data centers include US, EU, Australia, Canada*, Singapore*, India*, Japan*, and Middle East* (*on demand)
- Multi-region deployment
- Self-hosted deployment
- Unlimited number of self-service reports and dashboards
- Custom dashboard plugin extensions
- Custom themes and branding per customer
- Custom domain URL
- Localized display language
- Governed content publishing across tenants
- Smart Search for easy discovery
- Forecasting and Clustering capabilities
- Technical support
- Dedicated customer success manager
- 99.5% guaranteed uptime SLA
- Onboarding support
- Whitelabeling
- iFrame, Web Components, and APIs for embedding
- React SDK for building custom UIs
- Python SDK for backend management
- Semantic layer supporting reusable, resilient, and context-aware metrics
- Built-in multitenancy with hierarchical workspaces
- Declarative API for all metadata definitions
- Open-source metadata and lifecycle management tooling (coming soon)
- Usage analytics
- Environments
- CI/CD — Data product management
- SOC 2 certification
- GDPR, and ISO 27001 compliance
- WCAG AA Accessibility
- SAML and multiple OIDC
- Audit log
- HIPAA
- FedRAMP
- Data blending across multiple sources
- FlexConnect functionality to build self-service connectors
- FlexConnect embedded connection logic
- Data embedding
- Ontology extraction
- Direct and Import modes
- Cache results
- FlexQuery storage
- Vector store
- Knowledge graphs
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?
- Crazy Egg has a free plan. GoodData doesn't — you'll need to pay from day one.
- 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. Crazy Egg: Crazy Egg sits in the budget-to-mid tier of the heatmap/session recording space, undercutting Hotjar and FullStory on entry price while staying accessible to SMBs. They're clearly going after cost-conscious teams who want visual analytics without paying enterprise rates — not trying to compete with Contentsquare on sophistication. GoodData: Full custom pricing with no free tier or trial puts them squarely in the premium, sales-led segment — they're not competing on accessibility or self-serve. They're going after mid-market and enterprise buyers who are already committed to embedded analytics as a strategic investment, competing with the likes of Sisense and Qlik rather than Metabase or Looker Studio.
Still deciding? See the best Crazy Egg alternatives or the best GoodData alternatives, ranked with verified pricing.
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