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Heap

Autocapture analytics platform that retroactively tracks every user interaction without manual instrumentation, enabling complete behavioral analysis.

Founded 2013 San Francisco, CA 201-500 employees Acquired (Contentsquare) Updated Feb 2026

Ownership

  • Acquired by Contentsquare · closed Dec 2023 · source · In the Martech Market Report

    Contentsquare signed a definitive agreement to buy the product analytics platform Heap on 28 September 2023 and completed the deal on 7 December 2023.

Closest Heap alternatives

Ranked by reviewed relationship first, then by the capabilities they share with Heap.

Contentsquare logo
Experience 32 capabilities

Digital experience analytics platform: journey and zone analysis, heatmaps, session replay and error tracking for…

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Analytics 34 capabilities

Digital analytics platform for understanding user behavior across web and mobile products through event-based tracking…

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PostHog logo
Analytics 30 capabilities

Open-source product analytics platform bundling event tracking, session replay, feature flags, A/B testing, and surveys…

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Heap Pros & Cons

Key strengths and limitations to consider, drafted by an AI model from public sources

Strengths

  • Autocapture reduces implementation time for web analytics events
  • Snowflake export available to keep your warehouse as system of record
  • Useful product analytics layer if you want more than routing

Limitations

  • Not a like-for-like event router in the Snowplow sense (different philosophy)
  • Autocapture can increase data volume/noise if not governed carefully
  • Mobile/server event parity may require additional work

Ideal For

Who benefits most from Heap, drafted by an AI model from public sources

Quick Analysis

Heap is an autocapture analytics platform (now part of Contentsquare), competing with Amplitude, Mixpanel, and FullStory in the product and behavioral analytics space. Its core differentiator is automatic event capture — Heap records every click, pageview, form submission, and interaction without requiring developers to instrument each event, enabling retroactive analysis of any user behavior.

Heap excels for teams that need to analyze user behavior they didn't anticipate tracking — its retroactive analysis capability means you can define events after the fact and see historical data. It is ideal for product teams at mid-market SaaS companies who lack the engineering bandwidth for comprehensive event instrumentation. Compared to Amplitude (explicit instrumentation, deeper analysis), Heap trades data precision for coverage. Versus FullStory (session replay focus), Heap provides more structured analytics but less visual playback.

Buyers should evaluate Heap if engineering bandwidth for instrumentation is limited and you want immediate analytics coverage. Note that autocapture generates high event volumes and can be noisy — it works best when paired with defined events for key metrics. Consider Amplitude or Mixpanel for teams willing to invest in proper instrumentation, or PostHog for an open-source alternative with both autocapture and explicit tracking.

1

Product teams analyzing user journeys

2

SaaS companies tracking feature adoption

3

Growth teams identifying conversion bottlenecks

4

UX researchers studying in-app behavior

5

Data teams wanting auto-captured event streams

Freemium

Pricing

Free plan at $0 for up to 10,000 monthly sessions, with 6 months of data history and 1 project.

Reliability (from Heap’s status page)

100 / 100

worked out from the incidents Heap declared

Outages per 30 days
0.0
0 in 180 days
Median time to resolve
—
no closed outage to time
Outage-free time (declared)
100.000%

Trend Similar, 0 outages in the earlier 90 days, 0 in the later · Degraded 73.4 h per 30 days, shown, not scored

Based on Heap’s own status page, last 180 days · coverage 95% · as of 17 Oct 2026. Self-reported by the vendor, not measured uptime. How this is worked out

Key Features

  • Autocapture of all user interactions without code
  • Retroactive event definition and historical analysis
  • Session replay for visual behavior analysis
  • Funnel and conversion analysis
  • User journey mapping and path analysis
  • Behavioral segmentation and cohorts
  • Heatmaps for visual engagement analysis
  • Data governance with PII redaction

Integrations

Integrations recorded for Heap in the catalog:

Segment Salesforce HubSpot Intercom Slack Marketo Optimizely BigQuery Snowflake Redshift Zapier Shopify Stripe Webhooks

If you want to reduce engineering effort, Heap can capture events with less manual instrumentation and export to Snowflake; can still feed modeling in Snowflake and activation via Hightouch.

Checked and not offered

4 capabilities that other analytics & bi tools are built around, which Heap does not appear to cover. Each was checked against Heap's own documentation in three separate AI passes, and only a majority verdict is recorded — the count is on each row.

A gap is not a fault — a product that does one job well is a reasonable thing to buy. It is only expensive when you find out after signing.

Agent Interface (MCP / Tool API) 6 of 18 analytics & bi tools have it

Checked developer documentation for MCP, agent SDK, and callable query or operation APIs.

Checked: https://developers.heap.io/docs/overview· 3 of 3 passes agreed it is absent

Agentic AI / Autonomous Agents 6 of 18 analytics & bi tools have it

Checked Heap documentation for autonomous or semi-autonomous agents.

Checked: https://help.heap.io/hc/en-us· 3 of 3 passes agreed it is absent

Semantic Layer 5 of 18 analytics & bi tools have it

Checked Heap documentation for a governed metrics or semantic layer serving BI and AI consumers.

Checked: https://help.heap.io/hc/en-us· 3 of 3 passes agreed it is absent

Feature Flagging 3 of 18 analytics & bi tools have it

Checked Heap documentation for native feature flags, percentage rollouts, targeting, and kill switches.

Checked: https://help.heap.io/hc/en-us/articles/37271890207889-Third-Party-Integrations-with-Heap· 3 of 3 passes agreed it is absent

Runs alongside, not instead of

8 tools that overlap Heap on paper and were judged to do a different job in practice. Worth knowing before a consolidation exercise deletes one of them. These judgements were drafted by an AI model, and most were accepted on its confidence rather than checked one by one; the reason is recorded against each pair.

Heap + Adjust Adjust is primarily for mobile attribution and partner measurement while Heap is primarily for product analytics and event capture on owned digital properties. Heap + Adobe Event Forwarding Event Forwarding routes and forwards events, while Heap is primarily product analytics that analyzes the events and user behavior rather than replacing the collection/routing layer. Heap + AppIce Heap provides product analytics and event capture, while AppIce uses event data to run journeys and deliver cross-channel messages, so they are commonly deployed together. Heap + AppsFlyer AppsFlyer is centered on mobile marketing attribution and campaign performance, while Heap is centered on on-site/product behavior analytics and event routing beyond attribution use cases. Heap + Branch Branch measures campaign attribution across devices, while Heap analyzes product usage and user sessions. Heap + GTM Server-side GTM Server-side is infrastructure for collecting and routing tracking data from a server container, while Heap is the analytics/product insights destination consuming that data, so they are used together rather than as swaps. Heap + Jentis Jentis is a server-side tag manager that captures first-party data with consent controls and forwards it to other tools, while Heap is a product and web analytics platform; they are not interchangeable. Heap + Jitsu Both can collect web events, but Heap’s center of gravity is product analytics while Jitsu’s is event routing/transformation to multiple downstream destinations.

6 more pairs reviewed and judged complementary.

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