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Heap vs Hotjar

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

Heap logo

Heap

Analytics

Try Heap
VS
Hotjar logo

Hotjar

Analytics

Try Hotjar

A
About Heap

Heap is a digital insights platform that automatically captures every user interaction on your website or app — clicks, swipes, pageviews, form submissions — without requiring engineers to manually tag each event. This autocapture approach means teams can retroactively analyze user behavior without having to plan tracking in advance. It offers session replay, funnel analysis, and journey mapping to help product, marketing, and data teams understand how users actually engage with their products. Heap is particularly well-suited for mid-size to enterprise companies that want comprehensive behavioral data without the overhead of maintaining a complex tracking plan. It was acquired by Contentsquare in 2023, expanding its capabilities in the digital experience analytics space.

B
About Hotjar

Hotjar is a behavior analytics platform that helps website owners understand how users interact with their sites through visual tools like heatmaps, session recordings, and on-site surveys. It bridges the gap between quantitative analytics tools like Google Analytics and qualitative user research by showing you exactly where users click, scroll, and drop off. The platform is designed for product managers, UX designers, marketers, and anyone who needs to understand user behavior without deep technical expertise. Its intuitive interface makes it accessible to non-technical teams, though it's less suited for heavy-duty statistical analysis. Now part of the Contentsquare family, Hotjar remains one of the most popular entry points into behavior analytics.

Pricing Comparison

Tool
Heap
Hotjar
Price
Free — From $0/mo
Free — From $32/mo
Category
Analytics
Analytics
Rating
3.8 (17)
4.4 (97)
Free Plan
Yes
Yes
Integrations
8+ apps
8+ apps
Founded
2013
2014

Feature Comparison

Feature
Heap
Hotjar
Automatic event tracking without manual setup
User journey visualization and analysis
Cohort analysis for user segmentation
Customizable dashboards for data insights
Real-time data processing and reporting
Heatmap visualization of user clicks
Session recordings for user behavior
Feedback polls for user insights
Surveys to gather user opinions
Conversion funnel analysis tools

Choose Heap

Heap is an intuitive analytics tool that automatically captures every user interaction.

Try Heap Free

Read full review

Choose Hotjar

Website heatmaps, recordings, and feedback tools.

Try Hotjar Free

Read full review

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Score Comparison

Ease of Use
8.0
8.0
Features
9.0
8.0
Pricing
8.0
7.0
Support
7.0
7.0
Integrations
8.0
9.0
Overall
8.0
7.8
HeapHotjar

Our Verdict

HeapWinner

You need an intuitive analytics tool that automatically captures user interactions for free.

More affordable
More features
Hotjar

Your website team wants to understand user behavior through heatmaps and feedback tools affordably.

More integrations

Heap vs Hotjar: The Bottom Line

Both Heap and Hotjar are strong analytics tools, but they serve different needs. Hotjar has a higher user rating (4.4 vs 3.8).

Still unsure? Check the full reviews for Heap and Hotjar, explore Heap alternatives, or use our AI search to describe exactly what you need.

Frequently Asked Questions

Is Heap or Hotjar better?

It depends on your needs. Heap (3.8★) is free to start, while Hotjar (4.4★) is free to start. Hotjar has a higher user rating.

Can I switch from Heap to Hotjar?

Yes. Most SaaS tools offer data export features. Check if Hotjar has a migration guide or import tool specifically for Heap users. Many offer onboarding assistance for switchers.

Which is cheaper, Heap or Hotjar?

Both Heap and Hotjar start at $0/mo.

What are the main differences between Heap and Hotjar?

Heap focuses on automatic event tracking without manual setup and user journey visualization and analysis, while Hotjar emphasizes heatmap visualization of user clicks and session recordings for user behavior. Both are in the Analytics category but serve slightly different use cases.