Actionable behavioral analytics for product and growth teams
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.
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.
Three capabilities that set Heap apart from its nearest competitors.
Which tier and workflow actually fits depends on how you work. Here's the specific recommendation by role.
Heap is useful when one person needs faster output without adding a complex workflow.
Heap should be tested for collaboration, quality control, permissions and repeatable results.
Heap is worth buying only if the pilot shows measurable time savings or quality gains.
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 |
Scenario: A small team uses Heap on one repeated workflow for a month.
Heap: Free | Freemium | Paid | Enterprise ·
Manual equivalent: Manual review and execution time varies by team ·
You save: Potential savings depend on adoption and review time
Caveat: ROI depends on adoption, usage limits, plan cost, output quality and whether the workflow repeats often.
The numbers that matter — context limits, quotas, and what the tool actually supports.
What you actually get — a representative prompt and response.
Choose Heap over Mixpanel if you need retroactive event definitions and raw-event warehouse exports without prior tracking plans.
Real pain points users report — and how to work around each.