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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
(1-25 of 59)Companies can't remove reviews or game the system. Here's why
December 15, 2022
Solid Data Tool
Heap is currently used across my whole organization and has helped us to democratize our data greatly. The tool allows all employees access to performance data and empowers users from various departments to engage in site testing by simplifying the reporting process. We use it for everything from tracking daily health metrics to making large-scale decisions about test performance.
- Data readability
- Increasing reporting confidence
- Including more thorough definitions
- Documentation on suggested data manipulations across industries
Heap is mainly used to analyze the user interaction data. It captures the customer data to identify their behaviour to identify the pain points and optimize them for better customer experience
- Extract data on specific customer activities
- Real time reports can be extracted
- Providing charts and graphs to understand data points effectively
- Comparing data of different time funnel can be optimized
- Too much data is generated, which require additional support to segment
December 03, 2022
Heap - Uses Data mining for Data Analysis
In this modern world we always need to balance our organization objectives and the people's need which will eventually lead to successfully journey.
Heap does the exact same thing, it balances both using data analytics. using both predictive framework and adaptive framework it help to achieve the requirements.
In predictive framework it uses past data for analysis where as kn adaptive framework it uses data on fly to achieve the requirements.
Based on scenario we can use both the models.
Heap does the exact same thing, it balances both using data analytics. using both predictive framework and adaptive framework it help to achieve the requirements.
In predictive framework it uses past data for analysis where as kn adaptive framework it uses data on fly to achieve the requirements.
Based on scenario we can use both the models.
- This can be used to find is a Customer is about to leave a product or not
- It can also help to know if any default might have based on customer's past performance
- It can let us know what is the next best possible action that needs to be taken
- Since Heap deals with lot of data, data base is a huge issue
- Encryption and decryption algorithm has to be structured in a larger scale
- Integration with other systems using heap is difficult, this has great scope for improvement
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.
October 18, 2022
Heap helps driving better product insights and results
We started using Heap as our product and marketing analytics tool to monitor companies' main health metrics. Some of the use cases include conversion funnel analysis, product split test reporting, product feature usage tracking. Since we are partnered with Segment, the integration process was painless. Heap helped us to improve and optimize our product at every step of the way.
- conversion funnel analysis
- product split test reporting
- product feature usage tracking
- Simpler UI
At Laka we use Heap to understand the behaviour of our users. From onboarding new users to retaining existing users. Heap is a widely adopted tool in the company to help my colleagues quickly understand performance either through our ready-made dashboards or adhoc queries. Heap is used across Product and Marketing and across our multiple territories.
- Auto capturing events means we can go back and analyse things we didnt know we needed at the time.
- Huge flexibility in reporting which allows us to create a wide range of insights from both client side and server side data points.
- Ever enhancing feature set.
- Being able to tell a story with the data in a more contextual manner.
October 07, 2022
Heaps of Value!
We use Heap to showcase the value of our product. We are able to see conversion rates and where our product drops off in conversions. As a B2B company, we're able to show our customers the value of our product against others. We can make changes and see the impact to conversion.
- Conversion metrics.
- Event tracking.
- Funnel building.
- It's a little confusing to use at first.
- The findability isn't the best when looking for certain features.
July 20, 2022
Finding the needle in a Heap using HEAP
We use Heap in our org to create digital funnels and journeys which tells us where the drops are happening. Additionally, the Paths chart in Heap has been a huge asset for us understanding the customer journey. Heap as a product has given us the capabilities to uncover journey dropouts and it is being heavily used to develop an understanding of user behavior and identify issues like unwanted redirects which we didn't know were happening.
- Build a conversion funnel
- Identify unintended paths using the paths from feature
- Map out nonlinear journeys with forking option
- Generate reports on wait times between urls
- Creating an event becomes difficult when proper dimensions are not selected
- No option for creating an opposing event
- Alerts or notifications when things are not going well like an alert system
July 18, 2022
Great Tool if You Know How To Use It
We use Heap to get a clearer view of how customers navigate our site and to identify points of friction & areas of opportunity. It is largely used by our Front-End team.
- Event capture
- Easy report creation
- Sharing and collaborating on reports
- Unable to create data tables
- Hard to find session-level metrics
- Missing some key metric reporting, like bounce rate
May 17, 2022
HEAPS Feature that you will indulge
It is easily segmented our user base. I am using it to track the eCommerce trend to notice the alert that we could prevent or anything that happens beforehand. We could do anything before we could when we foresee there is a downturn trend in the upcoming quarter. Also, we could analyze the user behavior and be able to provide a better service to our customers and users.
- Segmented users
- User friendly
- Easily do tracking based on the element on the website
- Don't have details analysis tie with our actual online sales
- Don't have time spend for each users
- Don't have enough detail analysis like bounce rate and etc
March 21, 2022
As a non-technical person, it's easy and fun to use!
We use Heap to view data on our products. Oftentimes, I'll use it to view usage on the product area my team, and I own. I find that most of the product analysts at our organization use it to send out dashboards to our team. However, I really enjoy the product and will try to query the data myself before going to a product analyst.
- The UI is incredibly clean and easy to use.
- It's easy to share the dashboard when needed.
- The querying is also very easy to use and get started on my first time.
- The navigation and its icons could be improved -- sometimes, I don't know what each category is referring to.
- There is a lot of functionality in Heap that I didn't know existed until I met with a researcher. I'd love more onboarding and educational resources from Heap.
March 21, 2022
Heap saves PMs' days.
We use Heap for tracking user events on our websites. Heap's particularly useful feature is retroactive tracking, which allows PMs and Data Scientists to track events that they either forgot or did not think of, instead of having to install new triggers and wait for results which often takes 1 - 2 weeks even if the sample size is 10K+.
- Retroactive tracking
- Visualizer
- Onboarding
- UX is not as friendly as other tools like FullStory.
March 20, 2022
Heap has got it all
We use Heap to identify macros in user behavior to inform product decisions. There's a lot of data that is captured but heap lets us uncover valuable insights without having to do a lot of the heavy lifting to clean that data up a few clicks and you're already set up with a report that has data all the way from when you started collecting data. We use it extensively across the board to keep metrics in check and determine how we track against our KPI's
- Historical data tracking so you dont miss out on things if you dint know what to track
- Playbooks so we're able to set things up quickly
- Informative dashboard suggestions. It might not be all end all but it helps us connect the dots in case we've missed anything
- Aggregation of data is pretty hard. For eg. data in Looker is not sure how easy that integration looks like from a data warehouse.
- Data is sometimes hard to understand. It spits out different values just by changing dates
- Segments could be improved they only provide limited functionality
- Sharing reports is an absolute pain. Unless someone is invited to a project they cant view it just keeps giving them errors. I've used other tools like Mixpanel / amplitude we can freely share stuff. With Heap, it's like you have to go through RBAC to do basic things. There should be at least a basic sharing mechanism so we can share reports with stakeholders.
March 19, 2022
A solid tool for product analytics
Heap is used by many people on the product team weekly to get more insight into how users are interacting with our products. We constantly use Heap to answer questions like What % of users took X action? How does taking that action impact conversion? How long does it take users to take that action? How frequently are users taking the action? Where are users coming from and how does this impact conversion? Heap has recently made several big updates to their product that have made these questions much simpler to answer. Now users can easily filter on event properties as they are creating a report and you can still easily define new events. We mostly use Heap with our custom Segment events, but also occasionally use the native auto collection feature to get us out of a bind - it's nice to have the flexibility of using multiple sources.
- Funnel analysis
- Segmenting users based on prior behaviors
- Automated threshold alerting
- Optional events in funnel analysis
- Data dictionary/validation
- Sophisticated filtering and reporting with formulas
March 19, 2022
Excellent analytics tool with lots of potentials
We utilize Heap across our Marketing, Engineer, and Product teams for marketing analytics and product analytics purposes. Particularly from Marketing, Heap's used to better understand audience's behavior across multiple product offerings, identify areas where we can further improve and streamline the user experience, and segment identified users for behavior-based retargeting campaigns.
- Flexible event definition
- Wide range of integrations
- Funnel analysis
- Identity API
- Limited logic filters within reports
- Fairly steep learning curve
- Attribution modeling
- Event Visualizer can be improved
March 19, 2022
Dealing with the Simple things
Heap informs us of usage trends in our application. We particularly use the funnel system to assess areas in our product that aren’t seeing the conversion they could. We integrate heap directly into redux and see a heap event for every client-side action dispatched on a user’s machine. This, along with a custom analytics object, forms the basis for our customer usage insights.
- Funnels/conversion tracjing
- Click tracking
- Redux integration
- Filtering, sorting, and tracking by event properties
- Faster queries
- Caching
March 18, 2022
A conversion rate optimization must!
Heap is being used mainly by technology, marketing, and product departments to analyze conversion rates to make key decisions. We also find it helps identify areas where we need to improve the user experience on our website to push our audience down the right URL paths.
- Analyze Funnels
- Quickly define key events on a website
- Produce graphs seamlessly
- Use case tutorial videos
Heap is used to give us valuable insights on our users with analytics that would otherwise not be possible without the use of our DB. We use this tool primarily in our Product Management, Technology and Analytics department. Marketing is beginning to make great use of the tool as well.
- User friendly.
- Robust.
- Data rich.
- Data governance.
- Organization.
- Lack of visualization customization.
March 15, 2022
Heap is okay
For general analytics - to gauge traffic quality and sales across the domain.
- Somewhat intuitive interface
- Realtime reports
- Custom defined events and conversions
- Attribution modeling
- Faster loading of data
- Easier segmentations
March 11, 2022
Heap Review
I use Heap to track how users flow through our signup and onboarding experiences, what they interact with, where they drop off, and to form hypotheses for future experiments to run.
- auto-capture
- simple ui
- robust integrations
- help with data cleanliness
- visibility into "who" created custom api events
March 09, 2022
Heap is one of the best purchases you can make
Heap is a critical business tool for us. We use it for a few key purposes, including Tracking and analyzing A/B testing performance (via Optimizely integration) Tracking and analyzing the performance of key metrics on our e-commerce website Investigating potential areas for improvement (high drop-off points in our purchase funnel) Investigating potential issues or errors on the site.
- Retroactive data storage - even if you forget to define an event, the data isn't lost.
- Much better user interface than Google Analytics, easy for non-tech marketers to use without eng support.
- Real-time data analysis - so we don't have to wait for the data
- Easy ability to cut data in different methods quickly
- Some room for improvement around the automation of data subject access requests (having API for bundling these requests) for GDPR / CCPA / CPRA compliance.
March 08, 2022
Solid Product, with room for growth
We use the heap to monitor user behavior and track the success of experiments on various user experience tests. We also use it to visualize and store data on our different user segments so we can analyze them and group them into cohorts for a better understanding of the customer and their needs
- Data Visualization
- Funnel Construction
- Clunky user controls
We use Heap across the board for customer/product analytics. Heap tracks all funnel data points and we can analyze our conversion in any cross-sections or unique paths we want to. Our tech teams also push custom events to Heap and through this, we can monitor the performance of our backend services and their relationship to customer journeys.
- Auto captures all customer activity
- Saves all data historically. If you forget to define an event, you can do so later and still look at it historically.
- Ease to define new events and create naming systems.
- Has no session recording/screen recording options
- Continue to build out more integrations
January 15, 2022
The most efficient way to make your site more efficient
I use Heap to perform web analytics and define the product roadmap at a small, direct-to-consumer start-up that is built on a Shopify store. We are mainly focused on the acquisition, so I am mainly asking product questions around how our website helps and/or deters sales and how we can fix those features that are not useful with ones that are valuable to our customers. Since our category (baby gear) is a high-consideration, high-intent product category, we know our customers engage with many brands (and many times with each brand!), so Heap's unique ability to track the same user over time is a huge value add for us.
- Track a user over time.
- Highlight differences between desktop and mobile behavior.
- Identify the most common path from point A to point B.
- Multi-touch attribution modeling.
- Identifying the referrer for a particular user or session.
- Registering the full impact of paid ads.
January 13, 2022
Using Heap at startups
Heap is used by functional units across the business including Product, Engineering, Customer Success, and Marketing. Everything from determining website conversion rates to specific paths taken by successful users within the app. One of the major benefits of Heap is that our Dev team does not need to implement tracking code and all events are tracked retroactively.
- Allows non-technical users to define events.
- Retroactively captures all events.
- Provides analysis suggestions when investigating funnels.
- Broadening the suggestions that Heap surfaces.
- Including categories when searching events.