Heap

Overview

Heap is a digital insights platform best known for its “Auto-Capture” technology, which fundamentally changes how companies collect data. Unlike traditional analytics tools that require engineers to manually write tracking code for every event (e.g., track('Button Clicked')), Heap automatically captures every click, form submission, pageview, and swipe from the moment the snippet is installed. This allows Product Managers and Marketers to define events virtually and analyze data retroactively, eliminating the “forgot to track” problem that plagues many product launches.

Now part of the Contentsquare group, Heap has expanded beyond simple analytics into a comprehensive “Experience Intelligence Platform.” It combines quantitative analytics with qualitative tools like Session Replay and Heatmaps. This integration allows teams to not only see what users are doing (e.g., dropping off at checkout) but also why (e.g., encountering a broken form field), all within a single interface. Trusted by over 10,000 companies, Heap is particularly popular among non-technical teams who need speed and autonomy from engineering bottlenecks.

Key Features

Auto-Capture & Retroactive Analytics

The defining feature of Heap is its ability to capture the entire user digital experience automatically. Once the single Javascript snippet is installed, Heap records every user interaction in the background. This architecture separates data collection from data definition. Teams can organize this raw data into meaningful events (like “Sign Up” or “Add to Cart”) at any time using a visual “point-and-click” editor. Crucially, because the data was already being recorded, defining a new event populates charts with historical data immediately, allowing teams to answer questions about the past without having set up tracking beforehand.

Heap Illuminate & Data Science

While many analytics tools require you to know exactly what questions to ask, Heap Illuminate uses data science to surface insights automatically. It scans your dataset to find hidden correlations and friction points that human analysts might miss. for example, it might alert you that users who complete a specific, obscure workflow are 5x more likely to become power users, or that a specific step in the onboarding flow causes an unusually high drop-off rate compared to industry benchmarks. This proactive approach helps teams avoid “analysis paralysis” by directing attention to high-impact areas.

Integrated Session Replay

Heap bridges the gap between quantitative data and qualitative empathy by integrating Session Replay directly into the analytics workflow. When analyzing a funnel or retention report, a user can click on a specific drop-off point to watch recordings of real users who abandoned the process at that exact step. This feature creates a seamless loop: use the data to find the problem, watch the replay to understand the user struggle, and then use the data again to measure the impact of the fix.

Pricing

Heap operates on a tiered pricing model based on “Sessions” rather than distinct “Events,” which can be advantageous for apps with high event density per visit. The Free Plan is designed for finding product-market fit, offering up to 10,000 monthly sessions. It includes core analytics charts, unlimited enrichment sources, and 6 months of data history, making it a solid entry point for very early-stage startups, though the session limit is tighter than some competitors.

The Growth Plan is geared toward scaling startups. It removes the user and report limits found in older plans, adds CSV exports, extends data history to 12 months, and includes email support. Pricing for this tier scales based on session volume.

For larger organizations, the Pro and Premier plans introduce advanced capabilities like Account-Based Analytics (crucial for B2B SaaS), Data Warehouse integration (Snowflake/Redshift sync), and advanced governance features. These tiers also unlock add-ons like Session Replay and Heatmaps, which may be chargeable extras depending on the specific package.