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Heap is a highly versatile analytics platform that has been widely used by organizations to collect and analyze customer data. Users have …
Starting at $0 per month
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What is Heap?
Heap is a web analytics platform captures every user interaction on web iOS with no extra code. The tool allows you to track events and set up funnels to understand user flow and dropoff. It also provides visualization tools to…
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Pricing
Free
$0
Cloud
Up to 10k sessions/month
Growth
Starting at $3,600 annually
Cloud
Up to 300k sessions/year
Pro
Contact Heap Sales
Cloud
Custom sessions per month and unlimited projects
Entry-level set up fee?
- Setup fee optional
For the latest information on pricing, visithttps://heap.io/pricing?utm_medium=revi…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
Fibonacci Heap Demo
YouTube
Imogen Heap Performance with Musical Gloves Demo
YouTube
PANASONIC - BREAD MAKER (SD-P104) - (DEMO) BY HEAP SENG GROUP
YouTube
HAPPYCALL - 'DIAMOND' DOUBLE PAN (DEMO) BY HEAP SENG GROUP
YouTube
Heap: A Smarter Approach to Product
YouTube
The Gloves Music Controller Demo with Imogen Heap | Digital Transformation
YouTube
Product Details
- About
- Integrations
- Competitors
- Tech Details
- Downloadables
- FAQs
What is Heap?
Heap analyzes datasets to illuminate hidden insights within the user’s digital journey, to act with confidence. Heap helps to see and understand every single thing users do, so product and marketing teams know where to make the most impactful improvements to the digital product or website.
- Improve customer experience: Pinpoint exactly where users are struggling and make improvements to the customer experience, driving an intuitive, enjoyable user experience.
- Speed time-to-market and optimize the impact of product and business teams: Rather than relying purely on gut instinct, leverage digital engagement data to test hypotheses and answer questions as they arise. With data-driven insights, confidently bring new features & experiences to market.
- Build increasingly valuable features and experiences: Leverage data to build consensus on engineering investments that can be clearly tied to business outcomes.
Over 8,000 businesses use Heap to drive business impact by delivering better experiences and better products. Customers include companies in B2B SaaS, eCommerce, and Financial Services such as Twilio, Logitech, Snapfish, Eventbrite, Esurance, Northwestern Mutual, and e*Trade.
Heap Features
- Supported: Autocapture (Codelessly capture every interaction/event in a product or website)
- Supported: Event Visualizer (Locate, tag and name events with this tool)
- Supported: Data Engine (Data Dictionary and Governance tools provide control and organization of data)
- Supported: APIs (Augment data with flexible APIs)
- Supported: Sources (Import data from other tools)
- Supported: Reporting and Dashboards (Get insights on activation, retention, conversion, engagement and other key digital/product metrics)
- Supported: Ad-hoc Analysis (Retention, Conversion, Funnel, Cohort analysis, etc)
- Supported: Heap Connect (Bring user data with managed ETL into warehouses such as Snowflake, Redshift)
- Supported: Heap Activate (Drive action base on Heap data via connectors to Appcues, Marketo, Intercom, and Salesforce)
Heap Screenshots
Heap Videos
Watch Heap - A Smarter Approach to Product. What is Heap and how does it work?
Watch Customer story: Northwestern Mutual becomes data-driven with Heap
Watch Customer story: Snapfish Uses Heap’s Omni-Channel Tracking to Increase Conversions
Watch Customer story: E*TRADE's analytics team delivers insights with Heap
Heap Integrations
Heap Competitors
Heap Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
| Supported Countries | Americas, EMEA, APAC |
| Supported Languages | English |
Heap Downloadables
- Product Analytics Buyer’s Guide: A guide to choosing the right product analytics solution
- Heap's Digital Experience Insights Report: How to Miss Everything About Your Users (And How Not To)
- Digital Insights Are a Superpower: A comic book about how to use data to transform your customer experience
- Heap's 3 Templates for Uncomplicating Product Management: Bring your Product Management processes into the future with structure and a shared knowledge base
- Using Digital Analytics to Drive Business Outcomes: How to Align People, Process, and Technology
Frequently Asked Questions
Heap is a web analytics platform captures every user interaction on web iOS with no extra code. The tool allows you to track events and set up funnels to understand user flow and dropoff. It also provides visualization tools to track trends over time.
Heap starts at $0.
Reviewers rate Support Rating and Implementation Rating highest, with a score of 9.
The most common users of Heap are from Mid-sized Companies (51-1,000 employees).
Heap Customer Size Distribution
| Consumers | 0% |
|---|---|
| Small Businesses (1-50 employees) | 40% |
| Mid-Size Companies (51-500 employees) | 40% |
| Enterprises (more than 500 employees) | 20% |
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Business Problems Solved
- Pros
- Cons
- Recommendations
Heap is a highly versatile analytics platform that has been widely used by organizations to collect and analyze customer data. Users have found Heap to be a powerful tool for automatically tracking customer behavior and understanding their journey. From keeping metrics in check and tracking against key performance indicators, Heap has proved its effectiveness. It has helped teams track the performance of newly released features, identify areas for improvement, and understand both user and system behavior of applications.
Heap has been valuable in enhancing the understanding of customer behavior, improving user engagement, identifying pain points, and mapping out the user journey. It enables organizations to validate hypotheses, pilot test new features, and determine the success of those features. Users appreciate how Heap helps them identify issues in the user experience, summarize interactions, and ultimately improve the overall user experience. By delving into customers' digital journeys, Heap allows companies to better design processes, increase platform usage, and pinpoint areas of easiness and difficulty for customers.
In addition to these applications, Heap serves as a powerful tool for tracking and analyzing user interactions, determining adoption and usage statistics, segmenting users into multiple buckets, verifying default assumptions, locating friction points in processes, building customers' digital journey, creating graphs and charts for analysis in various industries such as healthcare and finance. Heap also supports funnel optimization by providing insights into drop-off points and channel performance. Whether it's the product team making data-driven decisions or marketing personnel measuring traffic sources and conversions, Heap offers valuable analytics data across different functions within organizations.
Overall, users rely on Heap to gain deep insights into user behavior, make informed business decisions, improve user experience based on audience segments, track conversion rates and usage patterns, measure product performance against competitors. It helps understand customer engagement with websites or apps, extract insights on users' tendencies within pages or forms. It evaluates clicks and funnels while monitoring various metrics such as conversions, page views, enrollment rates, etc. Heap's ability to provide comprehensive data analyses, flexible tracking capabilities, and valuable input for product decisions has made it an essential analytics tool for companies seeking to improve their understanding of customer behavior and drive business growth.
Intuitive and User-Friendly Interface: Users have consistently praised Heap for its intuitive and user-friendly interface. It has been mentioned by many reviewers that the interface makes navigation and task completion easy.
Highly Praised Event Visualizer Tool: The event visualizer tool in Heap has received high praise from users for simplifying the process of defining elements to track engagement without the need for additional coding. Several reviewers have highlighted this feature as a standout aspect of the platform.
Auto-Capture Feature: Many users appreciate Heap's auto-capture feature, which automatically records all events on their website. This eliminates the need for manual tracking and saves valuable time for businesses. The convenience provided by this feature has been highly regarded by multiple reviewers.
Confusing User Interface: Several users have expressed frustration with the user interface, particularly when it comes to defining reports. They feel that the current approach is confusing and suggest a simpler and more intuitive design.
Difficulties with Filtering and Group-by Selection: A number of users have encountered difficulties while filtering events in the graph report. Additionally, they mention that the group-by selection often gets reset in funnel reports, causing inconvenience and extra effort.
Steep Learning Curve: Users have found the learning curve for using the platform to be steep. Many feel that technical knowledge is required to use it proficiently, which can be a barrier for non-technical or less experienced users.
- Implement Heap as soon as possible to start capturing all analytics and defining events easily. Prioritize creating a data strategy beforehand, including key performance indicators (KPIs) and meaningful analytics for the organization.
- Complement Heap with other analytics tools to cover everything not planned for in regular analytics. Consider using Heap as a separate tracking system compared to traditional tools like Omniture or Google Analytics.
- Thoroughly learn the documentation of Heap to fully utilize its capabilities. Do not hesitate to reach out to Heap support for assistance with any questions that arise.
Users also find Heap valuable for understanding user behavior, making data-oriented decisions, and improving products. They appreciate its ability to capture all analytics and save time by enabling more employees to build out analytics.
Attribute Ratings
Reviews
(26-50 of 233)Companies can't remove reviews or game the system. Here's why
November 22, 2022
Heap is helping us to scale our startup quick!
Heap allows us to clearly segment between users based on actions taken in our application. It has allowed us to create and test various product experiences, both in-app and through our CRM platform. Heap has also allowed us to view user funnels and behavioral trends while interacting with the application.
- Behavior Tracking.
- Segmentation.
- Trend Analysis.
- Better walkthroughs.
- Wider Integration Options.
- More frequent syncs with integrations.
November 17, 2022
Heap is Great!
We use Heap to track usage metrics, especially with new product launches.
- Visual dashboards
- Organizing data
- Data flexibility
- Sensitive variants--I can get multiple different results from the same dashboard.
- More explicit with dashboard filters.
- Discovery of other data dashboards--can only find ones I've been linked to and I have to bookmark them.
November 17, 2022
Heap is Great for Basic Analytics but Lacks Advance Filtering
Heap is used to track user paths and the frequency of user events. We use it to calculate cost-savings events and can get an idea of what features should be easier to access.
- Very good UI
- Very good graphs
- Very easy to use, especially data visualizer
- More usage for combo events
- More examples in documentation to differentiate properties
- Easier way to find what each project is
- Don't like how the projects selection moved to the bottom left
November 17, 2022
Heap Makes a Heap of Sense for Our Business
We use Heap for a wide variety of business problems and use cases across the entirety of our product offering. It is becoming our primary user tracking system as it gets instrumented and integrated across our site while replacing an existing user tracking system that was subpar to Heap's product offering. Everything from customer acquisition, retention, checkout, and key conversion points is being measured in Heap. The properties make it easy to understand the factors that affect behavior and how different cohorts of users perform across various conversion points and funnels.
- Easy implementation
- Wide variety of report options
- Properties and how they integrate into reporting
- Scoping options (sessions who did x as opposed to just users who did x)
- More types of averages besides just mean
- Fast report load times for companies with high-volume data
- More creative options when building dashboards
November 17, 2022
Heap Provides Great Value and Saves Time
We use Heap to make charts, executive dashboards, and track overall app usage (for our web apps). This provides visibility into how our customers are using our app and sheds light on the biggest opportunity areas. I love that Heap tracks almost everything without the need for custom events (though, those are still supported) and that makes data tracking far easier.
- Charts
- Customer insights
- Tracking
- I would like to see Verified dashboards that have been approved by different people.
- I would like to know which dashboards people are using the most.
- Tracking mobile isn't as easy as I would prefer.
I use Heap to analyze product usage.
- Reports are easy to access.
- Metrics are reliable.
- Interface is user-friendly.
- It is a harder platform to use for self-service data analytics.
- For larger organizations, metrics created by different departments are hard to understand their definitions.
- I find it's hard to know where to go to get the right data.
November 17, 2022
Thanks Heap!
I use Heap to make data-driven decisions and product impact by tracking customer usage.
- Customer support
- Display/UX of metrics
- Which metrics track what
- Clearer or a visual path of what is being tracked
October 31, 2022
You should definitely use heap to take data driven decisions!
We use heap in our team to understand
- what's the most frequently done actions by the users of a specific cohort
- how much traction a feature gets after being launched in the first few days
The data derived with heap gives us clarity to make business decisions for both projecting as well as positioning anything in the product
- what's the most frequently done actions by the users of a specific cohort
- how much traction a feature gets after being launched in the first few days
The data derived with heap gives us clarity to make business decisions for both projecting as well as positioning anything in the product
- Heap gives us clarity on the behaviour of the cohort analysing
- The events creator plays a big impact because we can pretty much create anything and everything in product as events and track the trend of usage
- The numbers derived on heap gives us clarity on the traction and helps us in strategizing activities that help derive better numbers for the business
- The funnel view helps in clearly understanding where the dropouts are, for each and every step
- functionality wise - heap is pretty good. Would love to see more usecases with videos as examples on the support portal. This will help when the user is figuring out the tool on their own
October 31, 2022
Heaps of feedback on Heap
We use Heap as a no-code dashboarding and analytics tool (mostly) for Marketers. It reduces overhead on our Data Science and Analytics teams as it removes requests for ad hoc analysis and dashboarding that Marketers can relatively easily build themselves in just a few clicks without having to rely on a Data Analyst build it out in something like Tableau.
- Dashboards
- Analytics
- No code dashboarding
- Could implement gamification to augment habit and frequency of using Heap features
October 29, 2022
Great for small to medium web and app products!
We use Heap for web/app event tracking. As a SaaS company, we are highly dependent on the good implementation and tracking capabilities of the product analytical tool we choose. Heap is really meant for Product analytics with its fast chart creation and dashboard capabilities. It is great for small to medium websites and apps but might go short on big enterprise-level companies.
- Auto event tracking feature is great.
- Very good UI.
- Supports most of the Product analytics needs.
- There might be some annoying bugs here and there.
- Should provide more detailed level of data on the UI.
- More chart types and some dashboard optimisations.
October 27, 2022
An Honest Review of Heap Analytics
We mostly use Heap to analyze top of funnel traffic and how it converts downstream, such as conversion on pages to purchase. We also rely on Heap to provide channel level data for marketing attribution modeling via Heap Connect. Heap is leveraged for creating custom events throughout our website, which is useful for joining to first party customer data.
- Easy to use UI for non-technical users
- Heap Connect is powerful for joining of website and channel data with internal data
- Heap's Event Visualizer is useful for creating and tracking custom events
- Data governance is difficult to manage and enforce in Heap
- Creating dashboards can be time consuming and requires having several browser tabs open
- Heap can be prone to data loss, which sometimes makes measurement difficult
October 27, 2022
From a product designer's perspective.
We use Heap to track the usage of our product and to look for opportunities for growth or change. I personally track data related specifically to my part of the product. I track time between events as well as counts for certain actions we want to see or don't want to see from our users. I also track conversion from one screen to another in hopes of seeing an increase. I work with a product analyst to make sure the events are being tracked, and then I personally create the dashboard tracking the key metrics.
- I love the customization that Heap allows in creating dashboards.
- I enjoy the collaborative data points that all can reference in their dashboards.
- I love the clean UI of Heap, making data beautiful!
- I think Heap can improve its onboarding; I would love to see some info that is helpful for someone who isn't in Heap every single day.
- Sharing dashboards can be tricky, it feels like a huge learning curve that I already have forgotten how to do.
October 27, 2022
too much of learning curve for nonexperts to engage with heap, dosen't get used in the org how we'd like it too
We use heap to get analytics on webpages, events and interactions across both our webflow site and our webapp. We mainly graph events, and have recently started trying to use the alerts helpfully within the product team to notify us of any large changes in key metrics.
- display segments on graphs
- suggest events
- visual labelling
- discoverability of events, taxonomy of events, management of events. If i didn't set them up it's incredibly hard to find the right ones, verify what they are etc.
- just make it easy for me to paste a URL and see some stats please. I have to define a graph, set the unique view count and then enter the path. That is so labrious for something that feels like it should be easy
- customisation and consistency of graph colours across multiple reports. For example if we're looking at multiple graphs segemented by marketing channel I'd like email to be the same colour on each graph.
October 27, 2022
Company Wide Product Analytics
- Product level analytics: How are people coming to site, how long does it take for them to go through the customer journey, what parts of the journey is there the most drop off, how do different products compare
- General analytics: What does channel level performance look like, how does it differ if at all from the company's main source of truth and other analytics platforms
- Automated data collection
- Product analytics
- Pre-set reports
- Pre-set report custimization
- Custom reporting
- UI configuration
October 27, 2022
HEAP is great for customer success orgs
Used to determine what customer questions were most pressing, what templates customers were using the most, and where the information gap was coming from, so we could then resolve it.
- Locate information gap
- Analyze large amounts of information
- Display in visuals so easy to understand
- More filtering
- More visuals to present
- Able to download as PDF
At my company, we use Heap for product analytics. Specifically, we use it to understand customer interaction on the platform and the conversion funnels of different features we launch. We tend to use it during the pre-launch feature analysis process to get baseline numbers and also use it post-launch to understand the traction of the feature we launched.
- Easy way to define events without engineers.
- Simple interface and intuitive UI/UX.
- Cheaper than other high end analytics tools.
- More accurate tracking when doing visual labelling.
- Events management after they are defined.
- Integrations with other platforms.
October 27, 2022
Heap for product development.
Heap can be used to track user behavior on SaaS Platforms. It supports product development, both to improve existing features and to test and build new ones. Granular Heap data can be made available in Snowflake for complex analyses. In addition, a large variety of queries can easily be built by non-technical people through the UI. Heap also supports the integration with Salesforce, which allows running queries using data from Salesforce.
- Flexible queries through UI without need to code.
- Auto-capture most user behaviour automatically.
- Allow server-side or other types of custom events.
- Auto-capture can discourage users from systematically thinking about what to measure.
- No statistical analysis of A/B test that consider significance.
October 27, 2022
Take the leap and use Heap!
We use Heap daily across our SaaS products to track the different user journeys/funnel for each product we offer, build reports and analyze campaigns in order to find the best conversion and lead acquisition tactics. We also use Heap to measure LP interactions and discount code implementation. Heap helped us understand the full user journey as well as be able to get more accurate campaign info and analyze it better. It gives us all the information we need to make strategic decisions both regarding future campaigns, collaborations, and countries we want to expand our services to.
- Tracking Campaigns.
- Transparency to insights and reporting across your organization.
- Tracking user journey.
- Understanding marketing performance trough the different channels.
- Flexibility in reporting which allows to create a wide range of insights.
- It takes a lot of time to learn how to use it.
- More refined UX/UI (could be nice).
- Dashboard customization, categorizing and easier sharing would be great.
October 27, 2022
A strong tool for beginners.
Our use case is to understand how customers use our web platform, so the scope is only one site address. This helps us understand what events are happening most often, what features are being used, and how we can address gaps. Typically I gravitate towards event analysis only, but other team members do more advanced analytics as well.
- Easy to understand UI.
- Easy to go deeper and more complex.
- Doesn't integrate well with iOS apps.
October 27, 2022
Great tool for understanding user behaviour.
We use Heap to track all of our user behavior, from upper funnel activity to in-product usage. A common issue that businesses face has ready-to-use data out of the box; the time and teams required to set up events can really slow down our ability to understand user behavior. Heap has allowed us to easily track all aspects of our user flow with actionable insights.
- Funnel Analysis.
- Auto event tracking.
- Easy to use UI.
- The ability to view more conventional tables like you would see in adobe analytics or Google Analytics.
- Surveying functionality.
- Heat-mapping functionality.
October 26, 2022
Review of Heap Analytics.
We use Heap to aggregate and analyze data concerning our user behavior on our website and customer behavior in our sales funnel. As far as business problems go, Heap allows us to investigate user behavior on our site and to identify points at which we lose customers in our funnel. Basically, Heap allows us to identify problems that we need to devote resources to fix.
- Heap provides an extremely granular look at web traffic data.
- Heap allows users to look at individual sessions so you can see what a particular user did during their entire session.
- Heap doesn't provide nearly enough in terms of support.
- Heap is difficult to use because of the way reports are structured, so finding the data you need can be challenging.
October 26, 2022
Gain a heap of insight with Heap.
I use Heap to measure traffic and patterns for our product documentation website. Our analysis aims to find out how we can better serve our users, what information is highest in demand and how far users get into product tutorials, and what they do next. Heap has so far simply been awesome to use!
- It's easy to add more measures using the Visual labeling.
- We can keep our data private.
- It's easy to build new charts.
- Firefox support would mean a lot to my team.
- It could be cheaper.
- We've found bugs during updates in charts.
October 26, 2022
See what everyone is doing with your product in an instance.
We have been able to access a large scale of data regarding how our users use the software regularly - build a much better picture when we come to running research. It will help shape product designs and UX decisions along with our other user research insights.
- Suggested reports.
- Live data tracking.
- Visual labelling does work when we have a modal open.
- Quicker response on support emails - and not just point to the resources for self help.
October 26, 2022
Heaps of useful data with barely any setup.
We have a SaaS product, and we use Heap to track what parts of the product are used more and what parts are used less. We also track feature adoption and often validate feature requests by looking at retrospective usage data from Heap. It also allows us to track friction in certain parts of the product and thus make decisions on improving the UX.
- Tracking user events retrospectively/automatically.
- Visualizing usage data in a very flexible way.
- Custom tracking is very easy to set up.
- Finding reports that have already been set up can be cumbersome unless meticulously managed.
October 26, 2022
Super intuitive, easy to set up, erases the painful memories of Google Analytics 4. Good job Heap!
We're a marketplace business with a geographic element to our performance. We use Heap to look at the conversion of the website both at an overall level and by user location. This allows us to understand areas that have a lower or higher conversion, which then allows us to investigate deeper why. We also use it to assess standard areas such as the performance of marketing channels, drilling down into each one, and user journeys, as well as look at things like retention rate and usage of our B2B product.
- The Auto Capture function does indeed save quite a bit of time, and being able to build new reports off historical data is really valuable.
- Interface is really intuitive and user-friendly. Much easier to pick up and use than GA.
- Building reports out on the fly is really quick and easy, allowing you to give right into all kinds of analyses.
- The Event Definition screen is really useful, giving a quick glance at the most used events, which you then decide to turn into conversions or goals if you want.
- Could maybe do with some more guidance or out-of-the-box help in setting up ecommerce-specific reporting, as it almost always will need a custom setup.
- There's quite a lot of extraneous data in the funnel reports, e.g., auto-suggestions of steps to add in, that I feel create more noise than clarity (I don't particularly want to add in a name field to the steps, for instance).
- I find the Influence and Path reports pretty hard to fathom, so don't use them much. Can see how they would be useful, but they are too difficult to understand.
- I found Marketing Channel set up weirdly difficult to wrap my head around, whereas it's much easier in GA. In general, more around attribution of marketing channels would be good.