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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Deployed on AWS
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Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
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)
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Resources
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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
Data Capture Automation
Autocapture technology that automatically tracks and streams comprehensive digital interaction data without manual event tracking
Real-time Data Analysis
Instant access to high-quality behavioral data with real-time exploration and analysis capabilities
Data Science Integration
Advanced data science techniques applied to complete digital engagement data to uncover behavioral insights
Streaming Data Pipeline
Automated event streaming infrastructure enabling continuous data collection across web, mobile, and digital applications
Behavioral Insight Generation
Automated insight mining that identifies unique user engagement patterns and potential improvement opportunities
User Behavior Analytics
Advanced multi-session journey tracking across websites, mobile apps, and digital experiences
AI-Powered Insights
Machine learning algorithms for automated data analysis and quick pattern recognition
Session Visualization
Comprehensive session replay and heatmap technologies for detailed user interaction mapping
Digital Journey Optimization
Advanced tracking and analysis of user engagement, conversion, and retention metrics
Audience Segmentation
Dynamic audience segmentation capabilities with end-to-end journey mapping and analysis
Data Analytics Capability
Unified platform for comprehensive product and customer behavioral analytics with real-time insights generation
AI-Powered Insights
AI agents that continuously monitor metrics, deliver insights, and enable intelligent automated actions
User Journey Tracking
Comprehensive 360-degree view of user interactions and behavioral patterns across digital experiences
Experimentation Framework
Native experimentation solution powered by analytics and customer behavior data for experience optimization
Cross-Platform Data Integration
Ability to unify customer data across multiple ecosystem platforms and activate insights for personalized experiences
Standard contract
No
Customer reviews
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.
Joanna J.
A powerful analytics tool that works with minimal setup
Reviewed on Nov 25, 2025
Review provided by G2
What do you like best about the product?
I don't need to consider what I'll need to measure in future — I can simply log in, search for the event I'm interested in, and see how our users are using it. It's amazing that, after the initial development configuration, I don't have to do anything to the development site. I can check how new features perform right after we release them. This is the first time I have seen such a powerful tool that requires so little development configuration.
What do you dislike about the product?
The price could perhaps be lower, but there's really nothing I can complain about.
What problems is the product solving and how is that benefiting you?
I'd like to understand how users behave within our tool. With Heap, it's easy to measure the business impact of various features.
Financial Services
User-Friendly Experience that makes self-sourcing advanced reports seamless
Reviewed on Oct 30, 2025
Review provided by G2
What do you like best about the product?
Really easy to use, no learning curve. Connects product data and website data seamlessly.
What do you dislike about the product?
The web sessions and users are very different than what we see in google analytics. This can cause difficulties with determining source of truth.
What problems is the product solving and how is that benefiting you?
Connecting website visits to revenue and product signups
Aditya Sasmal
Autocapture has revealed key drop-off points but usability and awareness need improvement
Reviewed on Oct 26, 2025
Review provided by PeerSpot
What is our primary use case?
The major use case for Heap is for my sales funnel for my gym because whenever we launch ads, we need to understand where we are dropping customers and where we are attracting them; it captures the complete user journey from watching the ads to taking the user to the WhatsApp page for payment.
Because of Heap , we are able to capture where we are dropping customers so that we can improve the ad funnel. The drop-off point that Heap was really useful for was creating great ads from Instagram to WhatsApp to understand where I am dropping off the customer. We were able to understand that after I launched the ad, people used to see it but were not clicking it, and the percentage shown by Heap's analytics helped me improvise my ads and also determine where to place my ads on Instagram.
What is most valuable?
I have been using Heap in my product management journey to understand users and how and where a user actually drops off in a sales funnel for the past six months. I came across Heap when I was searching for a good user market research tool; first I was using Google Analytics to understand the customer review and the customer's mindset, where we can attract more and where customers are dropping, but once I started using Heap, its auto-capture is amazing and does wonders.
All the features of Heap are very important, but the standout feature that I experienced was Autocapture, which does amazing work compared to its competitor, Google Analytics.
Autocapture is valuable for me because it helps understand the customer journey from the first interaction with the ad or the first interaction with something we are selling to closing the deal. Autocapture does a great job, and this is one of the features I was looking for in Google Analytics and other platforms as well, so I definitely give credits to Heap.
What needs improvement?
I recommend making Heap stronger, more user-friendly, and integrating it with other apps such as Instagram, Facebook, LinkedIn, and even smaller platforms such as Reddit. If it is integrated with AI, it will be wonderful, just as any ChatGPT or any Chat LLM model would be amazing for any user to use Heap.
To improve Heap, they need to make people more aware of it because the awareness of Heap is not that substantial compared to its competitors.
For how long have I used the solution?
I have worked in my current field of data engineering and modeling with artificial intelligence for around two years.
What do I think about the stability of the solution?
Currently, Heap is stable in my experience.
What do I think about the scalability of the solution?
I would rate Heap's scalability around 6 out of 10 because we are still not completely familiar with it.
How are customer service and support?
The customer support for Heap is good; they solve problems very promptly, so I don't have any complaints about them.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
I used to use Google Analytics, but I wasn't able to get complete information about my users. After using Heap, I started understanding the complete user journey because of its great feature, the auto-capture, which captures everything from seeing the ad to closing the deal. This was the reason I switched to Heap, and it's also cost-efficient.
What was our ROI?
After I started using Heap, I saw an increase in conversions; when I was not using Heap for my gym client, the amount of closes per month was around 8 to 10, but now I'm able to close around 20 to 25, which is a great number.
I have seen a return on investment with around a 25% increase in my sales right now.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was a smoother process, and my teammates helped me out because I don't have clear information about pricing. It was a cost-efficient way to get the most amount of data from customers.
Which other solutions did I evaluate?
Before choosing Heap, I evaluated Google Analytics and also a product associated with hello.ai, which helps with user capture.
What other advice do I have?
My advice to others looking into using Heap is to use auto-capture and complete capture a lot because these two features are really amazing compared to its competitors. The reports it generates, the complete dashboard, and the complete analytics are also amazing. Definitely use Heap if you are more into a marketing background or run ads a lot; then it will be useful, but if you're not a marketing or ad company, there's no need to use it. I rate Heap a 7 out of 10.