Heap is a digital insights platform built on autocapture: it records every user interaction — every click, tap, swipe, and page view — from the moment the snippet is installed, without any manual event tracking setup. Teams can then define and analyse events retroactively, answering questions that haven't been asked yet.
Product Overview
Heap's autocapture model is its most powerful differentiator. Traditional analytics tools require developers to manually fire events before data can be collected — meaning retroactive questions are unanswerable. Heap captures everything first, then lets analysts define events after the fact through a point-and-click UI. The platform's Illuminate feature automatically surfaces the most influential paths to conversion or churn, surfacing insights that teams would otherwise miss.
Key Features
- Autocapture: Every user interaction is recorded from day one — no event tracking instrumentation required upfront.
- Retroactive Event Definition: Define new events on historical data at any time via point-and-click UI — no code, no data loss.
- Illuminate: AI-powered insight engine that automatically identifies the interactions most correlated with conversion or drop-off.
- Funnel Analysis: Build conversion funnels on any combination of events, with breakdown by user property or date range.
- Data Layer Integrations: Push Heap data to Salesforce, HubSpot, or your data warehouse to enrich CRM records with product behaviour.
Best For
Product and analytics teams at SaaS companies who want to avoid the upfront instrumentation burden of traditional analytics, or teams that need to retroactively answer questions on historical user data.
Pricing
Free plan available (limited events). Growth and Premier plans are custom-quoted based on monthly sessions — typically $3,600–$36,000/year.
Key Integrations
Salesforce, HubSpot, Segment, Amplitude, Slack, BigQuery, Snowflake, Redshift, Marketo
Pros
- Autocapture eliminates instrumentation work
- Retroactive analysis is a genuine superpower
- Illuminate AI surfaces insights automatically
- Strong CRM and warehouse integrations
Cons
- Data volume from autocapture can be overwhelming without governance
- Pricing is opaque and can be expensive
- Less intuitive for users new to product analytics
RevOps Jobs-to-Be-Done
- Automatic Retroactive User Behavior Capture — Heap automatically captures every user interaction — clicks, page views, form submissions, taps — without manual event instrumentation, enabling teams to analyze any behavior retroactively. KPI: Product teams answer UX questions from 6 months ago without re-deploying tracking code
- Conversion Funnel Analysis and Drop-off Identification — Build funnels across any sequence of user actions to identify where users abandon — without needing pre-defined events — using Heap's retroactive event definition to name and analyze interactions post-facto. KPI: Funnel analysis time reduces from 2 weeks (custom event dev) to same-day with Heap
- User Segmentation for A/B Test Targeting — Create precise user segments based on behavioral patterns — users who performed X but not Y within Z days — to build targeted test audiences or personalization cohorts. KPI: A/B test design time reduces 50% with behavior-based cohorts defined in Heap vs. manual engineering
How It Fits Your Stack
Primary system of record: Data warehouse (Snowflake, BigQuery) — Heap syncs all captured events for BI analysis
Key integrations: Snowflake, BigQuery, Redshift, Salesforce, HubSpot, Amplitude, Segment
Data flows: Heap captures all user interactions → data stored in Heap cloud → synced to data warehouse → BI team queries raw events; product team analyzes in Heap UI
Security & Compliance
- SSO / SAML: SAML 2.0, Okta
- RBAC / permissions: Yes
- Audit logs: Yes
- Certifications: SOC 2 Type II, GDPR, CCPA
- Data residency: US
Implementation & Ownership
- Time to first value: 1–3 days — script install; retroactive analysis starts immediately with no additional setup
- Implementation complexity: Low (initial); Medium (advanced analysis)
- Typical owners: Product Manager, UX Researcher, Growth Analyst
Core value is retroactive analysis without re-instrumentation; the autocapture approach creates very large datasets — warehouse sync can be expensive at high traffic volumes
Proof & Buyer Signals
Ratings: G2: 4.3/5 (450+ reviews); Capterra: 4.4/5 (60+ reviews)
What buyers praise:
- Retroactive analysis without code changes
- Powerful autocapture approach
- Strong for product analytics
Common complaints:
- Data volume gets expensive at scale
- UI can be overwhelming
- Customer support sometimes slow
Often Compared With
- FullStory — FullStory is focused on session replay and DX; Heap is focused on quantitative funnel analysis and behavioral cohorts — complementary tools
- Mixpanel — Mixpanel requires manual event tracking with more setup; Heap's autocapture delivers immediate data, but Mixpanel has better funnel visualization and is easier for ongoing analysis
- PostHog — PostHog is open-source with session replay, feature flags, and product analytics; Heap is more mature for enterprise funnel analysis at scale
