Auto-capture product analytics platform that retroactively tracks all user interactions without manual instrumentation for instant behavioral insights.
Automatically captures everything users do in your product β retroactively analyze any user action without planning tracking in advance.
Heap is a product analytics platform that differentiates itself through its auto-capture technology, which automatically records every user interaction on web and mobile applications without requiring manual event tracking instrumentation. This approach solves one of the biggest challenges in product analytics: the need to define and implement tracking before you can analyze user behavior, which means traditional analytics tools can only answer questions about events they were pre-configured to capture.
With Heap's auto-capture, every click, tap, page view, form submission, and field change is automatically recorded from the moment the SDK is installed. This means product teams can retroactively analyze any user behavior without waiting for engineering to implement new tracking. When a product manager asks 'how many users clicked that button last month?' β Heap can answer immediately, even if nobody thought to track that button before the question was asked.
The platform's Illuminate feature uses AI to automatically identify the most important user journeys, conversion bottlenecks, and behavioral patterns in the captured data. Rather than requiring analysts to hypothesize and query, Illuminate surfaces insights proactively β highlighting unexpected drop-offs, identifying high-impact behaviors, and suggesting optimization opportunities.
Heap includes robust session replay capabilities integrated directly with its analytics, allowing teams to watch recordings of user sessions to understand the context behind behavioral data. When funnel analysis shows a drop-off, teams can watch sessions of users who dropped off to understand exactly what went wrong.
The platform's Visual Labeling feature allows non-technical users to define events by pointing and clicking on elements in their live application, making it easy to create custom event definitions without code changes. Heap also provides comprehensive integration capabilities with data warehouses, marketing tools, and other analytics platforms through its Connect feature.
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Heap's autocapture approach to analytics is genuinely differentiatedβit records every user interaction automatically, eliminating the 'we didn't track that' problem that plagues event-based tools. Retroactive analysis of data you didn't explicitly instrument is uniquely powerful. The tradeoff is larger data volumes and potentially slower queries at scale, but for teams tired of incomplete analytics data, Heap's approach is revelatory.
Automatically records every user interaction without manual instrumentation, enabling retroactive analysis of any behavior from day one
Use Case:
Answering a VP's question about last quarter's feature usage instantly without waiting for engineering to add tracking code
AI-powered analysis that automatically surfaces important user journeys, conversion bottlenecks, and behavioral patterns from auto-captured data
Use Case:
Automatically detecting that users who view the pricing page 3+ times before signing up have 2x higher lifetime value
Watch recordings of user sessions directly connected to analytics data for qualitative understanding of quantitative patterns
Use Case:
Watching sessions of users who abandon the onboarding flow to identify specific UX confusion points causing drop-offs
Point-and-click event definition on live application pages allowing non-technical users to create custom events without code
Use Case:
Marketing team creating a custom event for CTA button clicks on the new landing page without filing an engineering ticket
Measures the friction users experience in completing tasks by analyzing rage clicks, dead clicks, and excessive navigation patterns
Use Case:
Identifying that users click a non-functional element 500 times per week, revealing a UX design issue causing frustration
Bi-directional data sync with data warehouses, CRMs, and marketing platforms for unified analytics across the tech stack
Use Case:
Syncing product behavior data to Snowflake for combined analysis with revenue data from Salesforce
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View Pricing Options βProduct teams needing instant analytics without engineering-dependent instrumentation
Organizations with limited engineering resources for analytics implementation
Teams that frequently need to analyze past behavior they didn't anticipate tracking
UX research teams combining quantitative analytics with session replay insights
Heap works with these platforms and services:
We believe in transparent reviews. Here's what Heap doesn't handle well:
Heap's SDK records every user interaction β clicks, taps, page views, form changes, and more β automatically when installed. No manual event tracking code is needed. All interactions are captured with contextual metadata like element properties, page URL, and user attributes. You can then retroactively define events and build analyses on any captured interaction.
Heap's SDK is designed to be lightweight and asynchronous, minimizing performance impact. For most websites, the impact is negligible. However, for very high-traffic sites or performance-sensitive mobile applications, it's worth testing the SDK's impact during implementation. Heap provides configuration options to exclude certain pages or interaction types if needed.
The key difference is Heap's auto-capture vs Amplitude's instrumented approach. Heap captures everything automatically enabling retroactive analysis, while Amplitude requires deliberate event tracking but offers more precise data collection. Amplitude has a more generous free tier, stronger experimentation features, and is generally preferred by larger product teams. Heap is favored by teams that want rapid time-to-insight without engineering dependencies.
Visual Labeling lets you define events by clicking on elements in your live website or app through a Chrome extension. Instead of writing code to track a button click, you point and click on the button in your actual application, and Heap creates an event definition. This makes event creation accessible to product managers, marketers, and designers without engineering involvement.
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In 2026, Heap (now part of Contentsquare) integrated its autocapture analytics with Contentsquare's digital experience platform. Updates include AI-powered journey analysis that automatically identifies friction points, enhanced session replay with frustration scoring, improved data governance with PII detection and masking, and a revamped query engine with significantly faster performance on large datasets.
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