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Heap
Analytics & DataProduct analytics platform that automatically captures all user interactions to improve conversion, retention, and customer experience.
Heap is a product analytics platform that automatically captures every user interaction without manual event tracking, merged with Contentsquare to form an Experience Intelligence Platform. It combines quantitative analytics with session replay to provide complete visibility into user behavior across web and mobile platforms. The platform uses AI and data science to surface hidden friction points and opportunities, helping teams understand end-to-end customer journeys. Used by over 10,000 companies, Heap excels at retroactive analysis since all events are captured automatically from the start.
Best for
Product and growth teams who need automatic event tracking and AI-powered insights to optimize conversion funnels and user journeys without extensive engineering resources.
Editorial profile generated March 19, 2026 · pricing & endpoint re-verified continuously (see badges above)
23/50
Overall Score
API Quality
7/10
GTM Relevance
16/20
PricingFreemium
Complexitymedium
Learningmedium
Visit heap.io →API Analysis
REST API
✓
Available
Webhooks
✓
Available
GraphQL
—
—
OAuth
✓
Available
salesforcehubspotsegmentzendeskintercomzapierslackamplitude
Pricing
freemiumFree Tier
Free tier available with limited events, paid plans scale with usage and feature needs, custom enterprise pricing
Listed pricing, as of Mar 2026 — not independently verified; confirm on the vendor's site before relying on it.
Strengths & Weaknesses
AI-generated summary — not from verified user reviews.
Strengths
Automatic event capture eliminates manual tracking and prevents data gaps, allowing retroactive analysis of user behavior
AI-powered insights (Heap Illuminate) automatically detect friction points and opportunities without pre-defining metrics
Integrated session replay tied directly to analytics events provides full context on user actions and behaviors
Over 100 integrations enable seamless data flow across marketing, sales, and product tools
No engineering required for basic implementation with single code snippet deployment
Weaknesses
Medium learning curve despite AI assistance, particularly for teams new to product analytics
Pricing can become expensive at scale as it's based on tracked sessions and events volume
API documentation and developer resources less comprehensive compared to pure developer-focused tools
Recent merger with Contentsquare may create uncertainty around product roadmap and feature consolidation
Alternatives
Reviews
Links
FAQ
What is Heap?
Heap is a product analytics platform that automatically captures every user interaction without manual event tracking, merged with Contentsquare to form an Experience Intelligence Platform. It combines quantitative analytics with session replay to provide complete visibility into user behavior across web and mobile platforms. The platform uses AI and data science to surface hidden friction points and opportunities, helping teams understand end-to-end customer journeys. Used by over 10,000 companies, Heap excels at retroactive analysis since all events are captured automatically from the start.
Is Heap free?
Yes, Heap offers a free tier. Free tier available with limited events, paid plans scale with usage and feature needs, custom enterprise pricing Pricing shown is as last reviewed and may change — confirm current pricing on the vendor's site.
What are Heap alternatives?
Popular alternatives to Heap include Mixpanel, Amplitude, PostHog, Fullstory, Hotjar, Pendo, Segment. Compare features, API quality, and pricing on GTM Tools.
Does Heap have an API?
Yes, Heap provides a REST API. API quality is rated GOOD. Documentation: https://developers.heap.io.
Who is Heap best for?
Product and growth teams who need automatic event tracking and AI-powered insights to optimize conversion funnels and user journeys without extensive engineering resources.
How current is Heap's data on GTM Tools?
Endpoint reachability and pricing for verified-tier tools are re-checked on a schedule — see the verification badges on this page for the latest check. The editorial profile (description, strengths and weaknesses) is last generated March 2026, and any user-review themes are pulled from G2.