Head-to-Head

Crazy Egg vs Hotjar

This site is reader-supported. We may earn a commission if you purchase tools through our links.

Full category matrix: UX Analytics

Data last reviewed:

Priority
Funnel & Drop-off Analysis
By leveraging proprietary datasets, tracking of user journeys with high granularity becomes possible, surpassing many market alternatives.
10
Heatmaps (Click/Scroll/Move)
Granular heatmap analysis visualizes interaction data by highlighting user engagement patterns across web pages. Crucially, the heatmap reports are capped at specific limits per subscription tier, impacting extensive data visualization needs. Contrary to basic visualization tools, heatmaps in Hotjar provide detailed interaction insights by capturing click, scroll, and movement data. However, extensive data capture and complex analysis features are often reserved for premium plans.
10
Session Recordings
Different from static analytics, session recordings capture dynamic user journeys, providing insights into navigation and interaction sequences. In practice, the number of recordings is limited per subscription tier, which may constrain exhaustive journey analysis. Proprietary datasets enhance session recording capabilities by capturing detailed user interactions for exhaustive analysis. However, extensive storage and complex features often necessitate access to premium subscription levels.
10
GDPR / CCPA Compliance
Unlike many analytics tools, compliance with GDPR and CCPA is ensured through built-in data protection protocols. While these protocols provide a reliable foundation, specific regional compliance may necessitate additional configuration. Granular logs ensure GDPR and CCPA compliance by systematically masking personal data in all recorded sessions. However, specific regional compliance may necessitate additional configurations or higher-tier support.
10
PII Masking / Data Governance
Overcomes standard data privacy concerns by implementing reliable PII masking techniques across all data capture processes. However, specific data types may require additional configurations to ensure full compliance.
9
Raw Data Export (BigQuery/S3)
Extracting raw data allows for detailed analysis outside the native interface, supporting integration with external systems. However, export capabilities are limited by volume and format, potentially necessitating additional data processing solutions. Different from exhaustive data export solutions, raw data export in Hotjar is limited and may not support full-scale data extraction needs. However, higher-tier plans or additional configurations might provide expanded export capabilities.
9
Data Retention Limits
Bypasses typical data retention constraints by offering up to two years of recordings storage, which is not commonly available in similar tools. While this capacity supports long-term analysis, it may necessitate additional storage solutions for extensive datasets. Data retention capabilities are structured to maintain session data for a specified duration, which aligns with standard industry practices. While extended retention periods are possible, they are typically reserved for higher-tier plans.
8
Feedback Surveys / Polls
Feedback surveys support basic client data collection, but complex needs require external tools. Proprietary datasets enhance feedback survey capabilities by offering detailed analytics and insights beyond standard survey tools. However, extensive customization and higher response volumes are typically confined to premium tiers.
7
Friction / Rage Click / Error Detection
Enables precise friction detection through user interaction analysis, though extra configuration is needed for deeper analysis. Granular logs are utilized to identify and analyze friction points within user interactions, enhancing the ability to optimize user experience. While the feature is available, more complex detection capabilities may necessitate higher-tier access.
7
SSO Support
Circumvents traditional login methods by integrating Single Sign-On (SSO) for streamlined authentication processes. While effective for basic authentication needs, the integration may require additional configuration for complex identity management scenarios. Different from basic authentication methods, SSO support in Hotjar facilitates streamlined access management across multiple platforms. However, full integration capabilities are typically reserved for higher-tier subscriptions.
6
Platform SCORE

Crazy Egg

5.4 / 10

Hotjar

7.5 / 10

Where Crazy Egg and Hotjar differ

Crazy Egg documents 8 supported capabilities; Hotjar documents 10. Unique coverage below links to each feature hub.

Only in Crazy Egg

No exclusive capabilities.

Only in Hotjar

Make your pick: Crazy Egg or Hotjar

JP

Jakub Pajtinka

Lead Data Curator

Jakub analyzes official documentation, evaluates data processing limits, and aggregates real sentiment from data engineering communities to build objective analytics software comparisons without the marketing fluff.

Connect on LinkedIn →