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Pendo vs Heap

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

Pendo logo

Pendo

Analytics

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VS
Heap logo

Heap

Analytics

Try Heap

A
About Pendo

Pendo is a product experience platform that combines product analytics, user feedback, and in-app guidance into a single tool. It helps product managers and teams understand how users interact with their software, identify friction points, and guide users through features with targeted in-app messages and walkthroughs. What sets Pendo apart is its codeless implementation for tracking and in-app guides, meaning product teams can deploy changes without relying on engineering resources. It's primarily used by mid-market and enterprise SaaS companies looking to improve product adoption, reduce churn, and make data-driven product decisions.

B
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.

Pricing Comparison

Tool
Pendo
Heap
Price
Custom pricing
Free — From $0/mo
Category
Analytics
Analytics
Rating
4.3 (46)
3.8 (17)
Free Plan
No
Yes
Integrations
8+ apps
8+ apps
Founded
2013
2013

Feature Comparison

Feature
Pendo
Heap
User behavior analytics dashboard
In-app messaging and guides
Feature adoption tracking
NPS and feedback collection
Segment user interactions
Product usage heatmaps
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

Choose Pendo

Pendo helps product teams understand user behavior and improve product adoption.

Try Pendo Free

Read full review

Choose Heap

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

Try Heap Free

Read full review

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Score Comparison

Ease of Use
7.0
8.0
Features
9.0
9.0
Pricing
5.0
8.0
Support
8.0
7.0
Integrations
9.0
8.0
Overall
7.6
8.0
PendoHeap

Our Verdict

Pendo

You're a product team focused on improving user adoption through detailed behavior insights.

Better support
More integrations
HeapWinner

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

Easier to get started
More affordable

Pendo vs Heap: The Bottom Line

Both Pendo and Heap are strong analytics tools, but they serve different needs. Pendo has a higher user rating (4.3 vs 3.8). On pricing, Heap is more affordable starting at $0/mo.

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

Frequently Asked Questions

Is Pendo or Heap better?

It depends on your needs. Pendo (4.3★) is from $100/mo, while Heap (3.8★) is free to start. Pendo has a higher user rating.

Can I switch from Pendo to Heap?

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

Which is cheaper, Pendo or Heap?

Heap starts at $0/mo, which is cheaper than Pendo at $100/mo. Heap also offers a free plan.

What are the main differences between Pendo and Heap?

Pendo focuses on user behavior analytics dashboard and in-app messaging and guides, while Heap emphasizes automatic event tracking without manual setup and user journey visualization and analysis. Both are in the Analytics category but serve slightly different use cases.