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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.
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.
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Pricing is based on contract duration. You pay upfront or in installments according to your contract terms 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.
Dimension | Description | Cost/12 months |
|---|---|---|
Heap | Please contact Heap Sales for more info on custom plans. | $100,000.00 |
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No refunds. Please contact support@heap.io or speak with your Heap account manager.
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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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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.
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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.
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Customer reviews
Mark K.
Autocapture is awesome
Reviewed on Jul 09, 2024
Review provided by G2
What do you like best about the product?
Heap Analytics' autocapture and post-capture event definition combine to enable us to capture everything up-front and to only making the investment to categorize user events that are actually business-significant. This lets us defer investment or even eliminate investment in defining events. It also enables us to avoid the expense of having valuable developer time taken up inserting event capture code throughout the front-end codebase.
The business value of putting the event definitions and taxonomy in the hands of both our Product Manager and Customer Experience Managers has revolutionized the User Analytics and Product Analytics functions in our company. The value of the freed-up opportunity cost to engineering is multiplicative because it really lets engineering focus on development of customer features instead of being distracted by the cross-cutting concerns of implementing user analytics and in particular of implementing taxonomized product analytics.
The business value of putting the event definitions and taxonomy in the hands of both our Product Manager and Customer Experience Managers has revolutionized the User Analytics and Product Analytics functions in our company. The value of the freed-up opportunity cost to engineering is multiplicative because it really lets engineering focus on development of customer features instead of being distracted by the cross-cutting concerns of implementing user analytics and in particular of implementing taxonomized product analytics.
What do you dislike about the product?
The graphical and data analysis features that come out-of-the-box are fine, but not fancy. We also bought Heap Connect so we do have the capability to define arbitrarily complex queries and visualization on Heap data, but it would be nice to have better capabilities out-of-the-box.
What problems is the product solving and how is that benefiting you?
We use Heap to:
1. Measure and track customer engagement for our busines-to-business web applications.
2. We use these engagment measures to identify issues in upcoming annual renewal processes and ongoing customer engagement.
3. Measure and analyze the success of new product features and identify areas for improvement in our existing features.
1. Measure and track customer engagement for our busines-to-business web applications.
2. We use these engagment measures to identify issues in upcoming annual renewal processes and ongoing customer engagement.
3. Measure and analyze the success of new product features and identify areas for improvement in our existing features.
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Aoife N.
Indispensable tool for insights
Reviewed on Jul 01, 2024
Review provided by G2
What do you like best about the product?
You can get very granular detail on user behaviour, knowing exactly who is using what and how often is exactly the information every business should be leveraging for product improvement!
Installation is so easy, development don't need to do a lot of work to add the script and you are collecting data from day 1.
Our CSM and their support team are excellent resources for helping with complex problems and the UI is always improving and easy for beginners to get started with!
I use it almost every day, it's as valuable as having 3 extra research resources and 3 times as fast!
Installation is so easy, development don't need to do a lot of work to add the script and you are collecting data from day 1.
Our CSM and their support team are excellent resources for helping with complex problems and the UI is always improving and easy for beginners to get started with!
I use it almost every day, it's as valuable as having 3 extra research resources and 3 times as fast!
What do you dislike about the product?
It can be kind of pricey depending on what you use it for - pay attention to the sessions and the volume of projects you intend to have. They are great people and will try to get you good value for your money, explain in detail what you want to get out of it, and they will try to get you the best deal!
What problems is the product solving and how is that benefiting you?
It gives me data and insight into who uses what and when, these are the most important questions to answer in UX.
One of the latest AI features has really hit on exactly what the challenge is for new users which is how to get answers to specific questions using data - this is one of the benefits of Heap which really helps me in my daily work, getting answers to business questions without needing to wait weeks for answers, all the data is at your fingertips, and once you have answered that question, you can keep those charts and dashboards and share them with anyone else in the company!
Very happy and proud of the work we have done in our company using Heap as the catlyst, it's all about getting questions answered and FAST.
One of the latest AI features has really hit on exactly what the challenge is for new users which is how to get answers to specific questions using data - this is one of the benefits of Heap which really helps me in my daily work, getting answers to business questions without needing to wait weeks for answers, all the data is at your fingertips, and once you have answered that question, you can keep those charts and dashboards and share them with anyone else in the company!
Very happy and proud of the work we have done in our company using Heap as the catlyst, it's all about getting questions answered and FAST.
Brittany P.
An excellent autocapture tool for clickstream data
Reviewed on May 20, 2024
Review provided by G2
What do you like best about the product?
The live data stream makes tagging exactly the right event beyond easy. The metadata that comes along with each event out of the box is better than other autocapture tools and saves me so much time. The reporting capabilities are also more robust than other options, and you can build a wider variety of reports with Heap than you can with similar tools.
What do you dislike about the product?
I have not found Journeys to be as helpful as it was cracked up to be, but otherwise the reporting is great. Other very minor things, like checking on plan usage only shows you how many total sessions you've used, not X sessions out of Y allottment, so it's not helpful really.
What problems is the product solving and how is that benefiting you?
We previously had zero clickstream data on our product! It made understand where to make platform changes, how to design interactions, and other business-critical decisions incredibly difficult, and we did a lot of work based on annecdotal feedback and gut feeling.
Health, Wellness and Fitness
Easy to use
Reviewed on May 20, 2024
Review provided by G2
What do you like best about the product?
It is really intuitive! The ui is easy enough I was able to pull useful dashboards without any previous knowledge. I know it capable of much more since I have seen colleagues do complex analysis with the available data...
What do you dislike about the product?
Nothing in particular. I do wish it came with some basic general usage dashboards so you need to start from scratch.
What problems is the product solving and how is that benefiting you?
Where are users stuck in the flow.
What actions are they engaging more.
What issues users run to more frequently
What actions are they engaging more.
What issues users run to more frequently
Tyler J.
Heap is a great analytics tool
Reviewed on May 20, 2024
Review provided by G2
What do you like best about the product?
My team has used Heap for product analytics about three years now and we've made good use of it. We review it constantly to improve our product. Here are some things that I think make Heap unique:
- Heap captures a lot of information about user events, so often tracking does not have to be thought out ahead of time.
- Heap's visual analyzer tool is wonderful at helping us look at any page in our product and knowing what our users do on that page.
- Heap provides some good high-level metrics to see how many unique users view our product.
- Heap has good exploration tools to find new problems and data points to study.
A couple of times we've had to reach out to Heap support, and we have received acceptable support in a reasonable amount of time. They were friendly to work with.
- Heap captures a lot of information about user events, so often tracking does not have to be thought out ahead of time.
- Heap's visual analyzer tool is wonderful at helping us look at any page in our product and knowing what our users do on that page.
- Heap provides some good high-level metrics to see how many unique users view our product.
- Heap has good exploration tools to find new problems and data points to study.
A couple of times we've had to reach out to Heap support, and we have received acceptable support in a reasonable amount of time. They were friendly to work with.
What do you dislike about the product?
Here are some of the things we've struggled with on Heap:
- The initial setup is simple and similar to other analytics tools. However, to get their visual analyzer tool to work, we had to do some extra steps that were a little tedious, and it was hard to detect when we had done them incorrectly.
- Because Heap tracks so much data, it is sometimes hard to find the event we're looking for and have even resorted to tracking events with their manual API. (Their manual API is so easy to use)
- Heap has a feature that tracks frustrations clicks, and I think that while it's a valid metric to track, it's really ambiguous to tell when we've fixed it (and trust me, we've tried).
- The initial setup is simple and similar to other analytics tools. However, to get their visual analyzer tool to work, we had to do some extra steps that were a little tedious, and it was hard to detect when we had done them incorrectly.
- Because Heap tracks so much data, it is sometimes hard to find the event we're looking for and have even resorted to tracking events with their manual API. (Their manual API is so easy to use)
- Heap has a feature that tracks frustrations clicks, and I think that while it's a valid metric to track, it's really ambiguous to tell when we've fixed it (and trust me, we've tried).
What problems is the product solving and how is that benefiting you?
Heap serves as our product analytics. It helps us find answers to many questions, including:
- What do users do in our product?
- Are users adopting new features?
- For our features that consume a lot of resources, what functionality do they use, and therefore which should we prioritize development on?
We benefit greatly from Heap. It often allows us to find answers when we ask them, and not just when we anticipate questions in the future. This saves us development time because we now spend less time instrumenting analytics in our product than before. And Heap's visual analyzer tool allows us to see how pages are used by our users.
- What do users do in our product?
- Are users adopting new features?
- For our features that consume a lot of resources, what functionality do they use, and therefore which should we prioritize development on?
We benefit greatly from Heap. It often allows us to find answers when we ask them, and not just when we anticipate questions in the future. This saves us development time because we now spend less time instrumenting analytics in our product than before. And Heap's visual analyzer tool allows us to see how pages are used by our users.