Sold by: Heap
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Heap helps those responsible for the digital experience quickly surface blind spots where users struggle or drop off in multi-step digital journeys, so that product and marketing teams know where to make the most impactful improvements to their digital product or website.
4.4
Overview
Heap is the analytics solution for product managers that makes it possible to understand customer behavior at scale, with a complete view of the customer journey, self-service tools, and the ability to lead teams in a data-driven way across sprints in the product life cycle. Unlike legacy analytics tools that force a manual event tracking approach and reliance on expensive engineering resources, Heap automates both data capture and insights generation, pointing to new opportunities only Heap can surface. Built on Autocapture, an easy-to-use event streaming pipeline, Heap enables Product and GTM teams to have democratized data access to uncover the path to building better products. By combining the most comprehensive digital behavioral data with powerful data science, Heap Illuminate delivers a complete platform to drive continuous experimentation and innovation. Illuminate automatically mines your behavioral data, uncovering unique insights only achievable from a complete, accurate and always up-to-date streaming data set. Digital teams achieve quicker time-to-insight and build a process of continuous product experimentation and innovation. The result is Heap scales with builders to manage a rapidly evolving digital landscape to understand how users engage with their digital brand across web, mobile, and other applications.
Please view Heap by Contentsquare's Addendum to AWS Marketplace here: https://contentsquare.com/legal/heap-inc-addendum-to/
Highlights
- Heap Data Foundation: Autocapture provides granularity into every single digital interaction along the customer journey without additional engineering. To manage this streaming data, Data Engine delivers instant access to high quality, trusted data.
- Heap Insights: Data Science applied to complete, retroactive digital engagement data enables users to uncover blind spots in their business, while exploring and analyzing all their data in real-time.
- Heap Actions: Users can quickly answer questions and act on their insights in their chosen tools or data warehouse via streamlined workflows and fully automated data pipelines.
Details
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Pricing
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/12 months |
|---|---|---|
Heap | Please contact Heap Sales for more info on custom plans. | $100,000.00 |
Vendor refund policy
No refunds. Please contact support@heap.io or speak with your Heap account manager.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Heap offers email and technical support through our support engineering team. Paying customers may also receive a Customer Success point of contact per their agreement with Heap. Email us at support@heap.io for product support inquires.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Heap
By Contentsquare
By Amplitude Analytics
Top
25
In Analytic Platforms, Business Intelligence & Advanced Analytics, Data Analytics
Top
100
In Analytic Platforms
Top
10
In eCommerce, Data Analytics
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Automatic Event Capture
Autocapture technology that automatically captures granular digital interactions across the customer journey without requiring manual event tracking or additional engineering resources.
Real-time Data Analysis
Data science capabilities applied to complete and retroactive digital engagement data enabling real-time exploration and analysis of behavioral patterns.
Streaming Data Pipeline
Event streaming pipeline built on Autocapture architecture that delivers instant access to high-quality, trusted data at scale.
Cross-platform User Tracking
Capability to track and understand user engagement across web, mobile, and other applications within a unified platform.
Automated Data Integration
Fully automated data pipelines that enable users to act on insights through streamlined workflows and integration with chosen tools or data warehouses.
Multi-Session Journey Tracking
Provides complete view of customer journeys across multiple sessions, devices, and touchpoints including websites, apps, and branded experiences.
Mobile Application Analytics
Delivers powerful analytics capabilities specifically designed for understanding user behavior and engagement within mobile applications.
AI-Powered Insights Generation
Utilizes artificial intelligence to automatically analyze data and generate insights without requiring data expertise or manual analysis.
User Segmentation and Audience Analysis
Enables creation and analysis of distinct audience segments to understand end-to-end customer journeys and tailor experiences accordingly.
Behavioral Analytics and Optimization Tracking
Tracks key metrics including engagement, conversions, retention, and identifies user drop-off points through session replays and heatmaps for journey optimization.
Real-time Analytics and Insights
Provides instant access to product analytics with 360-degree view of user journey to answer both simple and complex questions about customer behavior.
AI-powered Monitoring and Insights
Includes AI agents that operate continuously across the platform to monitor metrics, deliver insights, and enable intelligent automated actions.
Experimentation Framework
Offers experimentation solution powered by analytics and customer behavior data to determine and deliver optimal user experiences.
Session Replay and Visual Analysis
Combines real-time analytics with visual session replays to provide comprehensive view of user behavior and interactions.
Customer Data Activation
Unifies customer data across the entire data ecosystem and enables activation of insights into personalized experiences through integrated activation capabilities.
Standard contract
No
Customer reviews
Iurii Efimov
Autocapture has transformed user behavior tracking and now guides data-driven feature decisions
Reviewed on Apr 30, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Heap is to collect the clicks and login attempts our users have. I track specific features, how many times they are used, and analyze whether it makes sense to reinvest and continue developing these features or if we should discontinue them.
What is most valuable?
The best feature Heap offers is autocapture. I mean the automatic event tracking, and I find that capturing and retroactive analysis are what make it valuable. Heap is comparable to Amplitude and Mixpanel in this main feature of autocapturing, which excludes manual intervention. Heap has positively impacted my organization because we no longer need to do it manually; it is fully done automatically. This automation has led to specific outcomes and has absolutely saved time on development costs.
What needs improvement?
Heap can be improved because when you are collecting more and more data, it becomes dirty, and in the end, you receive dirty data that requires a lot of time to analyze and sort. I suggest implementing more flexible tools for Heap, such as automatic cleaning of the data.
For how long have I used the solution?
I have been using Heap for more than five years.
What do I think about the stability of the solution?
Heap is stable.
What do I think about the scalability of the solution?
Heap's scalability is great and excellent.
How are customer service and support?
The customer support is excellent.
Which solution did I use previously and why did I switch?
I previously used a different solution, which involved manual collecting of statistical data, and it was really time-consuming, which is why we decided to look in the direction of Heap analytics.
How was the initial setup?
I did not evaluate other options before choosing Heap.
What was our ROI?
I have seen a return on investment with Heap as it has saved time on development, as I mentioned previously.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing has a problem because when you are collecting more and more data, it becomes more and more expensive, and the ten thousand free sessions can be burned really fast, after which it became expensive.
What other advice do I have?
My advice for others looking into using Heap is to try to use it out of the box and see what further customization you can apply. I would rate this review as a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Tori S.
Simple UI, But Lacks Enterprise Robustness
Reviewed on Mar 13, 2026
Review provided by G2
What do you like best about the product?
I like that the UI is very simple and easy to use.
What do you dislike about the product?
The way we set up Heap with auto capture results in a lot of overhead to sift through many events. I would prefer if we had a specific plan of what we want to capture instead of everything. Also, I don't think it's as enterprise-level as some other analytics tools out there.
What problems is the product solving and how is that benefiting you?
Heap helps us understand user behavior on our site and tailor custom experiences based on user actions and attributes.
Raghavendra P.
Useful Tool for Product Analytics
Reviewed on Jan 22, 2026
Review provided by G2
What do you like best about the product?
I like Heap because it supports learning and skill growth while I’m working on real projects. The work culture is friendly, and it encourages teamwork, continuous improvement, and collaboration across the team.
What do you dislike about the product?
Sometimes processes take time and things move slowly.
A bit more clarity and faster decision-making would help improve efficiency.
A bit more clarity and faster decision-making would help improve efficiency.
What problems is the product solving and how is that benefiting you?
Heap helps capture and analyze user behavior data automatically, making it easier to understand how products are used.
This benefits me by saving time on tracking setup and helping make better, data-driven decisions.
This benefits me by saving time on tracking setup and helping make better, data-driven decisions.
Milos D.
Easy No-Code Event Tracking, But Sessions Can Be Buggy and Slow
Reviewed on Jan 14, 2026
Review provided by G2
What do you like best about the product?
I like that heap is so easy for non-technical team members to be able to create tracking events without the need for any coding knowledge or getting the engineering team involved.
What do you dislike about the product?
The sessions feature is very buggy at the moment it seems and can be quite slow.
What problems is the product solving and how is that benefiting you?
Heap is helping us save time by allowing any team member to create tracking events in the product without involving other teams.
Deep G.
Great for Automatic Tracking, But Advanced Features and Pricing Need Improvement
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
Heap’s automatic event tracking is its strongest feature. It significantly reduces the need for manual instrumentation, which saves time for product and design teams. The interface is intuitive, and building funnels, retention reports, and user journey analyses is straightforward even without heavy engineering support. Heap is particularly useful for understanding real user behavior across web applications.
What do you dislike about the product?
Some advanced reports can feel complex at first, and there is a learning curve when working with more detailed analyses. Pricing may also be on the higher side for smaller teams or startups. Occasional performance lag is noticeable when working with very large datasets.
What problems is the product solving and how is that benefiting you?
Heap helps in tracking user interactions without relying heavily on developers, enabling faster insights into product usage and UX issues. It allows teams to identify drop-offs, optimize user flows, and make data-driven design and product decisions more efficiently.