Heap is a product analytics tool that autocaptures all user interactions automatically, so you can analyse behaviour retroactively without pre defining events, suited to teams wanting complete, effortless data capture. Instead of instrumenting every event in advance, Heap automatically captures all user interactions (clicks, page views, form fills and more) from the start, so you can define and analyse events, funnels and retention retroactively, including behaviours you did not think to track when you set up, with behavioural analytics, segmentation and session replay (now part of Contentsquare). This autocapture approach means complete data and no missed events. Popular with teams wanting effortless, complete capture and retroactive analysis, Heap is the leading autocapture product analytics tool. For autocapture analytics, Heap is a leading choice.
Heap's distinction is autocapturing all interactions so you analyse behaviour retroactively. Because it captures everything automatically from the start, you never miss an event and can analyse behaviours retroactively (even ones you did not plan to track), avoiding the instrumentation planning and gaps of event based tools, which those tools do not match for completeness and effortless capture. That autocapture and retroactive analysis set it apart.
Heap is best for product and growth teams that want complete, effortless data capture (autocapturing all interactions) and the ability to analyse behaviour retroactively without pre defining every event, plus session replay. It suits autocapture analytics. It is a weaker fit for teams preferring precise, planned event tracking, where Amplitude or Mixpanel fit, in app guidance, where Pendo fits, an open source suite, where PostHog fits, or pure session replay, where FullStory fits.
The core strengths are automatic capture of all user interactions (no pre defined events), retroactive event definition and analysis, behavioural analytics (funnels, retention, paths), segmentation, session replay (via Contentsquare), and integrations. Heap offers complete, effortless capture and retroactive analysis. Its autocapture and retroactive analysis are its defining advantages.
Heap offers a free plan (limited) and paid plans largely quote based, scaling with sessions or usage and features, now as part of Contentsquare. So pricing is tailored to usage. Costs scale with usage. Confirm details on the Heap pricing page.
Heap integrates with the data stack (warehouses, Segment), marketing and product tools, and offers APIs, plus session replay through Contentsquare. Its data stack integrations and autocapture data, which provide complete behavioural data to the stack, support its analytics positioning.
Autocapturing all interactions so you analyse behaviour retroactively is the signature strength: Heap captures everything automatically from the start, so you never miss an event and can analyse behaviours retroactively, avoiding the instrumentation planning and gaps of event based tools, which those tools do not match for completeness. For autocapture analytics, this is the main reason to choose Heap.
Heap is well rated for autocapture, complete data, retroactive analysis and ease of not instrumenting events, with good support, popular with product teams, though reviewers note autocapture data can be noisy and need organising, and pricing is quote based. Its G2 reviews praise autocapture and completeness, with data organisation and pricing the main considerations.
For product and growth teams that want complete, effortless data capture and retroactive analysis without pre defining events, Heap is an excellent choice. The main caution is that autocapture data needs organising and pricing is quote based, so planned event tracking suits Amplitude or Mixpanel, in app guidance Pendo, open source PostHog, and session replay FullStory, but for autocapture analytics Heap leads.
These product analytics tools come up most often against Heap.
Digital analytics for product and growth teams
Event-based product and user behavior analytics
Product analytics with in-app guidance