Heap Analytics
Autocapture PlatformHeap completely removes the engineering bottleneck from product analytics. By automatically capturing every single click and pageview without custom code, it empowers non-technical PMs to build retroactive funnels instantly. It is the ultimate tool for startups moving fast, though data governance can become messy at enterprise scale.
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What is Heap Analytics?
To appreciate Heap, you must understand the pain of explicit tracking. If you use Mixpanel or Amplitude, and you launch a new "Save for Later" button on your e-commerce site, a product manager must write a tracking spec. An engineer must take that spec, write a Javascript event (mixpanel.track('Save For Later')), push it to staging, QA it, and deploy it to production. That takes two weeks. If the engineer makes a typo, the data is ruined forever.
Heap completely inverts this paradigm through Autocapture. You install the Heap snippet exactly once. From that moment forward, Heap records every single click, form submission, and pageview made by every user. It stores all of this raw interaction data in the background.
When the Product Manager wants to track the "Save for Later" button, they simply open Heap's Visual Event Designer, point their mouse at the button on the live website, and name it. Instantly, Heap pulls all the historical clicks on that CSS selector since the day the snippet was installed. You get retroactive data without writing a single line of code.
6 Key Features That Matter
- Autocapture Foundation: Collects all user interactions natively on web, iOS, and Android without requiring manual event instrumentation.
- Retroactive Data Availability: The moment you define a new event in the UI, you immediately have access to historical data for that event dating back to the installation of Heap.
- Visual Event Designer: A point-and-click interface that overlays your live website or app, allowing PMs and marketers to label specific buttons or text fields as measurable "Events".
- Journeys & Path Analysis: Visualizes the complex, non-linear paths users take to reach a conversion goal. You can see what users actually do before they drop off, rather than guessing a linear funnel.
- Native Session Replay: When you see a drop-off in a conversion funnel, you can click a button to watch a video playback of the exact user session where the drop-off occurred, perfectly marrying quantitative data with qualitative insights.
- Illuminate AI: Heap's built-in data science engine automatically scans your autocaptured data to flag hidden friction points—like a specific form field that takes users unusually long to fill out—without you having to manually query for it.
Pricing Breakdown (INR Context)
Heap's pricing is premium, shifting recently after their acquisition by Contentsquare. Note: Converted at roughly 1 USD = ₹84. Excludes 18% Indian GST.
- Free Tier: ₹0. A generous starter plan offering up to 10,000 sessions per month. Excellent for pre-seed startups validating their MVP.
- Growth Tier: Custom Pricing. Usually starts around ₹80,000/month (~$950) for scaling startups. This unlocks the core Journeys features and higher session limits.
- Pro & Premier: Custom Pricing. Enterprise tiers designed for massive data sets, offering dedicated customer success, advanced behavioral cohorts, and raw data export to Snowflake or BigQuery.
Who Should Use Heap?
Heap is the absolute best choice for non-technical Product Managers, Growth Marketers, and founding teams who do not have dedicated Data Engineers or front-end developers to spare for analytics instrumentation.
It is incredibly valuable for SaaS products where the UI changes rapidly, allowing the PM to adapt their tracking instantly without waiting for the next two-week sprint cycle.
Who should NOT use it: Massive enterprises with extremely strict data governance policies. Because Heap captures everything, your event dictionary can become a chaotic mess of thousands of unnamed CSS clicks if not managed with strict discipline. For highly regulated Indian fintechs, explicit tracking (Mixpanel/Amplitude) is often preferred to ensure PII (Personally Identifiable Information) isn't accidentally autocaptured.
First 5 Setup Steps for Product Teams
Setting up Heap is famously fast, but governing it requires discipline.
- Install the Snippet: Paste the single JavaScript snippet into the
<head>of your website or initialize the mobile SDK. - Wait for Data: Wait 24 to 48 hours for Heap to passively collect a baseline of raw DOM interaction data from your live users.
- Launch the Visual Designer: Open your live website, activate the Heap Chrome extension, and click your primary conversion button (e.g., "Sign Up").
- Define the Event: Name the event clearly using a standard taxonomy (e.g.,
Clicked_Signup_Button). Heap instantly calculates how many times it was clicked historically. - Build Your First Funnel: Navigate to the reporting dashboard and build a 3-step funnel (
Pageview: Homepage -> Clicked_Signup_Button -> Pageview: Dashboard) to instantly see your conversion drop-off.
Top Alternatives in the Indian Market
- PostHog: The most aggressive competitor. PostHog also offers autocapture, but pairs it with an open-source, self-hostable architecture and a much more generous free tier (1 million events). Highly preferred by Indian engineering teams.
- Mixpanel / Amplitude: The leaders of "Explicit Tracking." They force you to write code for every event, which is slower but results in perfectly clean, reliable data at scale.
- Hotjar: Primarily a qualitative tool (heatmaps and session recordings). It lacks the deep quantitative funnel analysis and cohorting capabilities of Heap.
Tired of Waiting for Engineering?
Stop filing Jira tickets just to track a button click. Our product experts can help you deploy Heap Analytics, establish a clean event taxonomy, and train your PMs to pull their own insights instantly.
Hire us →