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Heap

Actionable behavioral analytics for product and growth teams

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.2/5 📊 Data & Analytics 🕒 Updated
Visit Heap ↗ Official website
Quick Verdict

Heap is a behavioral analytics platform that automatically captures every user action, enabling product managers and growth teams to answer product and funnel questions without custom instrumentation. It’s best for teams that need retroactive event analysis and fast funnel/segmentation reports. Pricing starts with a free tier for small volumes and scales to custom enterprise plans, so expect paid plans for significant traffic and advanced features.

Heap is a behavioral analytics tool that automatically captures user interactions across web and mobile to power product analytics and conversion optimization. Its primary capability is auto-capture of events so teams can retroactively define events, funnels, and cohorts without prior instrumentation. Heap’s key differentiator is that it stores raw, user-level event data for ad-hoc queries and funnel troubleshooting, serving product managers, growth marketers, and analytics engineers. Heap sits in the Data & Analytics category and offers a usable free tier with limits plus paid plans and enterprise pricing for high-volume and governed usage.

About Heap

Heap launched as a user analytics startup focused on removing instrumentation friction and positioning itself as a source of truth for behavioral data. Founded to let teams ask questions after the fact, Heap’s core value proposition is automatic event capture — it records clicks, form submissions, pageviews and other DOM interactions to a raw event stream, which Product, Growth, and Data teams can query without adding tracking code for every new metric. Heap emphasizes retroactive analysis and self-serve exploration, aiming to reduce backlog and engineering cycles needed to answer product questions.

Heap’s feature set centers on auto-capture, event visualizer, and analysis surfaces. Auto-capture records interactions by default so users can create events retroactively; the Visualizer (Heap's UI) lets you click on elements in your site to define events and see event properties. Funnels and Conversion Drivers compute drop-off and correlated properties; the platform supports cohort builds and comparisons over user-level history. Heap also provides a SQL-ready Warehouse Export and integrates with data warehouses (e.g., Snowflake) so teams can sync raw event tables. Additionally, Heap offers user-level paths, sessionization, and cross-device identity stitching for authenticated users to trace journeys across sessions.

Heap’s pricing begins with a free tier that provides limited monthly sessions and core analytics features appropriate for small projects or proofs-of-concept. Paid plans move to Growth/Pro-style tiers with higher session quotas, faster data retention, advanced funnels, and support SLAs; larger customers negotiate Enterprise contracts with custom quotas, HIPAA/SSO features, and dedicated support. Heap’s published pricing is not fully transparent for all paid tiers — the free tier is explicit, but Growth/Enterprise rates depend on traffic and required features, so expect to contact sales for firm quotes and volume discounts.

Heap is used by product managers measuring feature impact and conversion funnels, and by growth marketers running A/B tests and cohort analyses. Example users: Product Manager using Heap to reduce checkout drop-off by 18% through funnel analysis, and Growth Marketer using Heap to identify a high-value cohort and increase activation by 22% via targeted campaigns. Analytics engineers use Heap’s warehouse export to join event data with customer records for reporting. Compared to a competitor like Mixpanel, Heap’s central differentiator is automatic, retroactive event capture and a raw-event export workflow rather than requiring predefined tracking plans.

What makes Heap different

Three capabilities that set Heap apart from its nearest competitors.

  • Automatic retroactive event capture lets teams define events after data collection rather than pre-instrumenting.
  • Native Warehouse Export sends raw event tables to Snowflake/BigQuery for SQL-based joins and long-term analytics.
  • Visualizer UI enables event definition by selecting live page elements, reducing engineering tracking tickets.

Is Heap right for you?

✅ Best for
  • Product managers who need retroactive funnel and event analysis
  • Growth marketers who need cohort identification and conversion drivers
  • Analytics engineers who need raw event exports to a data warehouse
  • SMB/Startups validating product hypotheses with minimal instrumentation overhead
❌ Skip it if
  • Skip if you require fully transparent per-seat/month pricing without sales contact.
  • Skip if you need sub-second analytics at extremely high event volumes without enterprise contract.

✅ Pros

  • Auto-capture eliminates many upfront instrumentation tasks, enabling retroactive event definitions
  • Built-in warehouse export provides raw event tables for SQL analysis and BI joins
  • Event Visualizer reduces engineering dependency by letting non-devs define events

❌ Cons

  • Costs scale with session volume and key features are gated behind custom enterprise pricing
  • Some large teams report sampling/limits or delayed processing at high traffic without enterprise tier

Heap Pricing Plans

Current tiers and what you get at each price point. Verified against the vendor's pricing page.

Plan Price What you get Best for
Free Free Limited monthly sessions, basic analytics, 3 months data retention Small teams testing product analytics
Growth (estimate) Custom / starts cost via sales Higher session quotas, longer retention, advanced funnels, exports Growing product teams needing more volume
Enterprise Custom Custom sessions, SSO, HIPAA options, dedicated support Large companies with governance needs

Best Use Cases

  • Product Manager using it to reduce checkout funnel drop-off by a measurable percentage
  • Growth Marketer using it to identify and target a high-value cohort for 20%+ activation lift
  • Analytics Engineer using it to export raw events to Snowflake for custom SQL reports

Integrations

Snowflake BigQuery Segment

How to Use Heap

  1. 1
    Install Heap snippet
    Paste Heap’s JavaScript snippet into your site header or use a tag manager. Confirm data is flowing by checking the Project Settings › Installation page for green status; success shows incoming events in the LiveView.
  2. 2
    Open Visualizer and define events
    From the Heap app click Visualizer, visit your live site, and click an element to create an event definition. Save the event and see it populate under Definitions › Events within minutes.
  3. 3
    Build a funnel report
    Go to Analyze › Funnels, add steps by selecting saved events or ad-hoc actions, set date ranges and segments, then run to view conversion rates and drop-offs; look for bottlenecks per step percentages.
  4. 4
    Export raw events to warehouse
    Navigate to Data Integrations › Warehouse Export, connect Snowflake or BigQuery, configure export cadence and schema, then validate by querying the exported events table in your warehouse; success shows matching event counts.

Heap vs Alternatives

Bottom line

Choose Heap over Mixpanel if you need retroactive event definitions and raw-event warehouse exports without prior tracking plans.

Frequently Asked Questions

How much does Heap cost?+
Heap has a Free tier for light usage; paid Growth and Enterprise plans use custom pricing. The Free plan covers limited monthly sessions and basic analytics, while Growth/Enterprise prices depend on session volume, retention and required features. For accurate pricing, contact Heap sales; they provide quotes and volume discounts based on monthly sessions and retention needs.
Is there a free version of Heap?+
Yes — Heap offers a Free tier with limited sessions and basic features. The Free tier includes basic auto-capture, event definitions, and short retention (typically months), suitable for proofs-of-concept and small sites. For higher session volumes, longer retention, advanced funnels, and warehouse exports you must move to paid plans via Heap’s sales or Growth offering.
How does Heap compare to Mixpanel?+
Heap emphasizes automatic retroactive event capture versus Mixpanel’s event-tracking model. Heap stores raw events for ad-hoc definitions and provides native warehouse exports; Mixpanel typically requires planned instrumentation and focuses on funnels and people analytics. Choose Heap if you need retroactive queries and raw-event access; choose Mixpanel if you prefer predefined event models and product analytics workflows.
What is Heap best used for?+
Heap is best for retroactive behavioral analysis and funnel troubleshooting without prior instrumentation. It’s ideal for product managers analyzing feature impact, growth teams finding conversion drivers, and analytics engineers exporting raw event tables to warehouses for BI. Heap’s auto-capture and Visualizer let teams define events and cohorts after data is collected, shortening time-to-insight.
How do I get started with Heap?+
Start by adding Heap’s tracking snippet and verifying installation in Project Settings. Then use Visualizer to define initial events and run a funnel under Analyze › Funnels to validate counts; finally connect Warehouse Export if you need raw event tables. Heap’s onboarding docs and sales team can help configure retention, SSO, and enterprise controls.

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