
Heap
SoftwareProduct analytics that automatically capture every user interaction so you never miss the data you need.

About Heap
Heap is a product analytics platform distinguished by its autocapture approach, which automatically records every user interaction on your website or app without requiring you to manually define and track each event in advance. Traditional analytics force teams to decide upfront what to measure and write code for each event, which means you can only analyse what you thought to track — and you're stuck if you later want to study something you didn't anticipate. Heap solves this by capturing everything automatically, so the data is always there when a new question arises.
This autocapture foundation gives teams remarkable flexibility. Because every click, page view, and interaction is recorded, analysts and product managers can explore user behaviour retroactively, defining and analysing events after the fact rather than predicting their needs months earlier. On top of this complete dataset, Heap provides the analytics teams expect — funnels, retention, user paths, and segmentation — plus features that help surface insights and identify opportunities and friction in the user experience. The result is faster, more complete answers to questions about how people actually use a product.
Heap is used by product, growth, and data teams that want thorough behavioural insight without the limitations and ongoing engineering effort of manual event tracking. The value is completeness and agility: because the data is captured automatically and comprehensively, teams can answer new questions immediately instead of instrumenting tracking and waiting weeks to collect data. This is especially valuable for fast-moving teams that constantly explore new hypotheses about user behaviour. For organisations that want to deeply understand their users and iterate quickly on their products without being constrained by what they remembered to track, Heap's autocapture approach offers a powerful and flexible foundation for product analytics.
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