Hotjar vs Looker: Analytics Comparison (2026)
Hotjar and Looker both offer free tiers, but cater to different analytical needs. Hotjar focuses on user behavior analytics with features like heatmaps and session replays, while Looker provides a business intelligence platform with SQL-based modeling capabilities.
AI Citation Scorecard
How often each is cited by major AI engines when buyers ask analytics questions. Last 90 days across ChatGPT, Perplexity, Gemini, Claude, and Copilot.
Probes run hourly; each (engine × query) combo retests every ~3 days.
Pricing
Key Features
- ✓200k monthly sessions
- ✓1 project
- ✓Replays, Heatmaps + Funnels
- ✓Basic surveys
- ✓Error & performance monitoring
- ✓LookML for SQL-based modeling
- ✓Integration with Data Studio
- ✓Cloud infrastructure on Google Cloud
- ✓Prebuilt and custom integrations
When to choose Hotjar
Hotjar is suitable for users who need to understand user behavior on their websites through visual tools like heatmaps, session replays, and funnels. It is also a good option for those starting with basic surveys and error monitoring. Its integrations suggest a focus on marketing, sales, and general business operations.
When to choose Looker
Looker is suitable for organizations that require a robust business intelligence platform with SQL-based data modeling through LookML. It is well-suited for users who need to integrate with Google Cloud and Data Studio, and who require customizable reports and dashboards from a centralized data source.