Heap

Overview

Heap was founded in 2013 by Matin Movassate and others, headquartered in San Francisco, California, United States. It is an automatic product analytics platform. Heap is known for its pioneering auto-capture technology - unlike product analytics tools such as Amplitude and Mixpanel that require manually defined events, Heap works out of the box, automatically recording every click, scroll, page view, form submission, and custom interaction on your website or app. Product teams can retroactively analyze any user behavior without manual instrumentation, dramatically reducing startup cost and developer dependency.

Heap offers user segmentation, funnel analysis, retention analysis, path analysis, and SQL querying, with deep integrations to data warehouses such as Snowflake, BigQuery, and Amazon Redshift. The platform also includes AI-driven anomaly detection and insights to automatically surface key changes and trends in behavioral data. Heap is used by more than 6,000 companies across SaaS, e-commerce, fintech, and education, including Twilio, LendingTree, and Yelp. For building a complete product analytics stack, see the website analytics setup guide.

Key Strengths

• Leading auto-capture technology: Automatically records all user interaction events without predefined instrumentation, sharply reducing engineering work while ensuring data completeness and retroactive analysis. Compared with PostHog and FullStory, Heap's auto-capture covers more surface and supports fine-grained event-level definition.
• Zero-instrumentation deployment, live in minutes: Embed a single JavaScript snippet or SDK and Heap starts recording automatically. Product managers can analyze behavior within minutes without waiting for developer capacity; the "capture first, define later" model suits fast-iterating teams.
• Retroactive analysis: Define events and analyze historical data at any time after capture. Even if a team only later realizes it needs a specific behavior, the data was already captured, so analysis can begin without redeploying code.
• Powerful segmentation and SQL querying: Segment users with composite conditions over behavioral events, user attributes, and time windows, and use the built-in SQL editor for custom queries over raw event data.
• Native data warehouse integrations: Export raw event data in real time to Snowflake, BigQuery, or Amazon Redshift, and integrate with customer data platforms such as Segment and RudderStack - see website API integration basics.

Product Ecosystem

Auto-Capture

Heap's core engine automatically records all front-end interactions, including clicks, hovers, scrolls, form inputs, page views, and file downloads. Events are stored in a structured format with full contextual attributes (timestamp, page URL, browser info, screen resolution, etc.). Developers can also define custom events and properties via the Heap API on top of auto-capture.

Funnel Analysis

Visualize the full path from product entry to target conversion, supporting both open and closed funnels with breakdowns by user attribute, device type, and traffic source. The auto-capture advantage means you can build a funnel at any time even if no event was defined in advance, because every user action has already been recorded.

Retention Analysis

Track whether users return to perform key behaviors over time, with daily, weekly, and monthly interval analysis plus custom returning and trigger events. Retention analysis can be built directly on auto-captured events with no setup, which is critical for assessing feature stickiness and long-term user value.

User Segmentation

Create dynamic user groups based on user attributes, behavioral events, and behavior sequences, with AND/OR composite conditions, time-window constraints, and sequence matching. Segments feed targeted analysis, personalized outreach, and feature optimization, and the engine handles real-time queries at hundreds-of-millions scale.

Path Analysis

Visualize how users navigate through the application, filter by starting event, ending event, and intermediate steps, and surface abnormal paths and drop-off points. Auto-capture ensures path analysis data completeness with no missed interactions.

Session Replay & Mobile SDK

Heap provides session replay to reconstruct real user sessions, complementing behavioral data. Heap for iOS, Android, React Native, and Web delivers a cross-platform SDK where mobile apps also capture automatically without manual instrumentation.

SQL Query & Data Export

A built-in SQL editor supports standard SQL over raw event data, with results exportable to CSV or via API, or to Snowflake, BigQuery, and Amazon Redshift for enterprise-grade analysis.

Limitations

• Limited free-tier events: The free plan caps at 5,000 events per month, which is tight for mid-sized products with over 100 daily active users. Compared with Mixpanel's 20,000 events/month free quota, Heap's entry barrier is higher, and paid plans start around $500/month.
• Auto-capture data noise: Capturing every interaction guarantees completeness but also generates redundant events (meaningless mouse moves, background AJAX calls) that require rule-based cleaning and filtering, and storage costs can exceed manual-instrumentation approaches.
• Advanced features require payment: Advanced segmentation conditions, SQL export, and data warehouse integrations are only available on Growth and above, limiting the free tier for budget-constrained small teams.
• No self-hosting: Unlike open-source options such as PostHog and Matomo, Heap is SaaS-only with data stored on Heap's servers. Industries with strict data-sovereignty requirements and GDPR scenarios should evaluate this constraint - see the GDPR compliance checklist.

Use Cases

• Fast-iterating product teams (Recommended ★★★★★): Zero-instrumentation auto-capture lets product managers start any behavioral analysis without waiting for developers, and retroactive analysis covers late-defined requirements.
• Data-driven SaaS products (Recommended ★★★★★): Complete user-journey recording enables continuous monitoring of activity, feature adoption, retention, and paid conversion, clearly surfacing where users drop off.
• Mobile app development teams (Recommended ★★★★): iOS, Android, React Native, and Web SDKs provide a unified cross-platform view, with automatic capture on mobile too.
• Enterprises needing AI insights (Recommended ★★★★): Built-in AI anomaly detection identifies significant changes such as collapsing feature usage or rising error rates, surfacing problems and opportunities early.
• Startups and individual developers (Recommended ★★★★): Get comprehensive behavioral insights with minimal developer resources, letting product teams - not engineering - drive analysis.

Pricing

See Heap's official website for exact pricing. Heap bills by event volume with steep growth for high-traffic scenarios, so evaluate long-term cost before adoption.

FAQ

• What company sizes does Heap fit? Heap serves everything from early startups to large enterprises. The free plan suits prototype validation, Growth suits scaling SaaS products, and Enterprise suits large organizations and compliance-sensitive industries. Compare Amplitude and Mixpanel when choosing.

• Which is better: Heap or Amplitude/Mixpanel? Heap's edge is auto-capture and zero-instrumentation for teams that want fast setup with less developer dependency. Amplitude excels in AI insights and flexible event modeling, while Mixpanel leads on free-tier quota (20,000/month) and push notifications. All three are excellent product analytics platforms - choose based on zero-instrumentation needs, event quotas, budget, and self-hosting requirements.

• Can Heap export data to a data warehouse? Yes. Growth and above export raw event data in real time to Snowflake, BigQuery, and Amazon Redshift, and also support CSV and API export - see BigQuery multi-cloud overview.

• How can I reduce Heap costs? Set event sampling, exclude unnecessary auto-captured event types, and design custom event models to reduce reporting volume; also batch-export historical data to your own warehouse during off-peak hours to reduce on-platform storage. See GDPR compliance checklist for data governance.

• How does Heap handle data privacy? Heap offers IP anonymization, data masking, data retention policies, and GDPR/CCPA compliance tools; Enterprise adds SOC 2 and HIPAA certifications plus private deployment options. For detailed configuration see the GDPR compliance checklist.