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Heap

Heap

Overview

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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Recent Reviews

TrustRadius Insights

Heap is a highly versatile analytics platform that has been widely used by organizations to collect and analyze customer data. Users have …
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Solid Data Tool

7 out of 10
December 15, 2022
Incentivized
Heap is currently used across my whole organization and has helped us to democratize our data greatly. The tool allows all employees …
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Heap Product analytics

9 out of 10
December 03, 2022
Incentivized
We are using Heap to track and analyze user interactions on the product and determine adoption, usage and other funnel related statistics. …
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Heap Review

8 out of 10
December 03, 2022
Incentivized
In our company, we need to build customer's digital journey because we are not following well our customer nor understand them.
So we are …
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Good product

6 out of 10
December 03, 2022
Incentivized
We want to see what is happening in our products and assess the users experiences. We wanted to see what features they are using most and …
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Read all reviews

Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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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
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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
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Product Details

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

Screenshot of Dashboard in Heap (Use to get Product or User Behavior Insights)Screenshot of Effort Analysis provides the first-ever quantitative measurement of user friction, capturing the difficulty users face when moving through every step of every user flow across the digital experience.Screenshot of Heap Illuminate looks for the most common events between two steps in a funnel and generates a Top Events table that displays how well paths including different events convert to the next step so you can understand how that behavior is helping or hurting conversion.Screenshot of From Top Events you can choose an event and use Path Comparison to fork your funnel and see how the selected behavior impacts conversion downstream.

Heap Videos

Heap Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesAmericas, EMEA, APAC
Supported LanguagesEnglish

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.

Adobe Analytics, Google Analytics, and Google Analytics 360 are common alternatives for Heap.

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

Consumers0%
Small Businesses (1-50 employees)40%
Mid-Size Companies (51-500 employees)40%
Enterprises (more than 500 employees)20%
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Comparisons

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Reviews and Ratings

(382)

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!

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 36)
Companies can't remove reviews or game the system. Here's why
December 03, 2022

Heap Product analytics

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are using Heap to track and analyze user interactions on the product and determine adoption, usage and other funnel related statistics. There were many undefined events in the past for which we are now able to view the historical data easily, on the spot! It is also very helpful in building the entire funnel and journey of all the users and segment them into multiple buckets
  • Very easy to build quick dashboards for analysis- just a matter of minutes
  • Events can be tracked in near real-time ,without any latency
  • High support for self-serve with deep level of documentation
  • Intuitive platform with quick learning; no formal training needed for user adoption
  • Mobile version is suboptimal without flutter support
  • Graph analysis is very basic and sometimes calls for csv download for detailed analysis
  • Initial event and platform configurations are too detailed and clumsy
Heap is very well suited for analysing and tracking user behaviour across tech apps- more so mobile apps. It is extremely useful for deep diving into engagement metrics, user journeys, user funnels and segmentation and understanding A/B test metrics for your product apps. The service is real-time and responsive. However, it is not well suited for basic application who need just high level analysis and it can be daunting in the beginning to set up tracking on the platform.
Fernando Roque | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
The best tool to research user behavior in a storefront sales website. It gives information about the user's path from the website's landing from marketing campaigns or search engines. With this tool, you can track the reasons for a customer to shop and pay and what happens when your storefront does not succeed in a sale. You can research if a logically broken path is affecting your online sales.
  • The path from website landing until the sale success.
  • Identify the possible broken logical path that is avoiding the sale success.
  • Machine Learning to identify the customer navigation trends in your website.
  • Measuring of website performance to see if the server is deliving content fast.
  • Machine learning time series of customer visits.
  • Grouping statistics to identify geographically the website sales.
The best scenario is to identify the website navigation path to get success in sales. The identification of logical and design loopholes could create confusion for the customer. Heap identifies the pages where the client left the website. Heap needs improvement in performance reports to measure if the website server is up and running 24/7 and keeping the same webpages delivery speed.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use Heap to help make more data-driven product decisions. The event visualizer allows anyone in the product team, from product designers to product managers to easily create events without having to know how to code. This means that we no longer have to go through different bottlenecks to get the data we need to make decisions.
  • The event visualizer allows you to easily create events by browsing your website and clicking on elements.
  • [It's] very easy to onboard new users and to start getting value out of it.
  • [It] provides contextual tips [on] how to best look at your data to get the answer that you need.
  • Sometimes you can get confused about which filter you can and can't use depending on how you chose to look at your data.
Heap is great when you're trying to democratize data so that it's not almost impossible to be able to answer questions quickly and easily. With Heap, data becomes super accessible, and creating new events that you want to track can be done by anyone without any coding knowledge. I would say Heap is less appropriate for finding out more qualitative data such as how do customers interact with your website and looking at click heatmaps.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Heap is great for behavioral analysis, user segmentation, and integration with CRM platforms. It allows us to define cohorts and analyze trends based on actions taken in our product funnels. This functionality has allowed us to create waitlists, abandoned cart flows, message preference segmentation, and more. This functionality has been exceptional in helping us better understand our users.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
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.
Heap is great for umbrella dashboards to show lots of data in one place. I think it is impactful and useful in telling a story of a product. It works! I trust that the info displayed is correct based on Heap and if off is due to my creation of the tables, etc. I think Heap is much more powerful for product analysts, or when companies have a product analyst people can collaborate with to track events.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
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.
It's very hard to learn. It's very hard to discover as a non editor or someone who has set up the account. Its not particularly intutitive, sometimes feels like I really need to be a front-end engineer to define my events properly and accomadate edgecases (for example, the ID of a button on our webapp changing with a new deployment ruining a funnel) I have never understood or made good use of path analysis within heap.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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
Best for analyzing large amounts of information to find trends, and then represent it visually, so it can be shared across the org. Can be integrated with wiki's (through saving) or added to reports. Very helpful for visual learners. You are also able to determine small scale information, like click on a ticket and see the Zendesk information.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Heap is great for smaller product org that do not have a ton of engineering bandwidth. Most non-engineers can go into the platform and use visual labeling to define the events they want to track and start doing their analyses right away. The learning curve is there but not super steep. It might not be the best solution when the company gets bigger and has stricter requirements for data accuracy and customization.
October 19, 2022

Heap for design teams.

Raúl M. Vicente | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use Heap to analyze all the different interactions happening in our products. Heap makes it easy to analyze data and create and share reports.
  • Analyse user flows and interactions.
  • Create powerful reports and dashboards for sharing quantitative data.
  • Help with analysing data.
  • Better learning material with more video lessons when possible.
  • Learning material in other languages.
Heap is well suited for product teams to analyze their products. It is not the right tool to measure qualitative data.
October 11, 2022

Heap review

Score 8 out of 10
Vetted Review
Verified User
Incentivized
It helps us understand the customer journey. From arriving at the landing page to making the signup decision.
  • User journey - sign up flow
  • Where the drop off happens
  • Learning curve for Heap is deep.
It is good for startup, especially if you are trying to understand how to improve the user experience.
August 01, 2022

Heap Review

Score 8 out of 10
Vetted Review
Verified User
Incentivized
Helps us understands the usage of our website better.
  • Tracking number of users coming on specific pages
  • Dividing users into different segments
  • Understand the user journey of customers on the website
  • Adding functionality where we can automate definition creation
  • Creating more lectures which would help users already existing functionality
  • Some more ways to audit multiple definitions at once
It is well suited to understand how long and which part of the website is being used the most.
Score 4 out of 10
Vetted Review
Verified User
Incentivized
Heap is responsible for reporting on all product lines within our organization. Developers are in Heap weekly to resolve individual problems. Product Managers are in Heap multiple times a week to understand conversion between events, how individuals are using our website and applications, overall metrics, etc.
  • Track individual events
  • Track individual movements
  • Provide reporting dashboards that can be shared across users and departments.
  • The learning curve is steep - I've watched multiple trainings and still have major problems navigating and figuring out how to do what I want to achieve
  • Data is presented poorly - there needs to be more options for chart displays and overall dashboards (Salesforce does this well)
  • Once an event is defined by a user, it's not easy to find, so the same event is defined multiple times across multiple users.
I want broad, easy-to-digest data, with total counts, $, funnel graphs, pie charts, bar charts, etc. The line graph is really the only option to suit some of those needs. I need collective data and tracking of how users are interacting with our website and applications, I want to see how far they are scrolling on a page, where they are clicking, etc. (e.g. Crazy Egg) - not just at an individual session level. I also want to email dashboard updates to our exec team on a scheduled basis.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use Heap on our products to analyze the usage of specific components, including views, clicks, submits, and any input field changes. This helps us better understand the user interaction and identify which features or components are helpful for our users, so we can improve the user experience and optimize our products.
  • Analyze usage of specific components
  • Allow tracking data retrospectively
  • Easy to define events
  • Bulk editing category of events
  • Switching between different products
Heap is well suited for identifying interaction with every component on the page, but it's not great for getting a heat map.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We use Heap to validate our Google Analytics data and to provide more granular data regarding the consumer funnel. Heap is also great for custom segmentation of data that GA and GA4 is missing. Another benefit over GA is that it doesn't do a great job of adjusting/fixing data that has already been collected, while all changes to data in Heap can be applied retroactively.
  • Data validation
  • User management and permissions
  • Backfixing data and segmentation
  • Providing very flexible but granular data
  • Somewhat buggy visual labeling of events functionality
  • Training courses / Heap University is outdated
  • Training in general / use case examples
Heap is great if you need some more advanced data beyond what Google Analytics offers. It is very flexible and can provide some great insights. However, taking advantage of all of the data can be difficult, as their UI is somewhat confusing and unclear and their analytics/reporting has a moderate learning curve to fully utilize.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Quickly get a sense of how often users use a certain feature or click on a certain area Quickly get a sense of ad-hoc funnels Some of the pathway analysis stuff seems really neat, but I haven't figured out how to use it well. It seems like you need really robust heap tracking for the analysis to work properly.
  • Help me understand the usage of certain areas of my platform
  • Gather extra information via custom events
  • Define events that I want to keep tabs on
  • The event visualizer is very slow and a bit confusing
  • Shared (public) metrics are a mess. I find it difficult to easily determine if an area I'm interested in is tracked
  • When creating an event, it's annoying to have to fill out all the filters when you're tracking something that is similar to an existing event (Perhaps something like event profiles could make it easy to get the event 90% to completion).
  • I don't know of anyone that has evergreen heap reports. Most of our use cases are for ad-hoc experiments or deep dives.
Good Seeing how often users click on a certain area of a page. Understanding where users drop off on a flow Bad Events should probably be organized by location or some other more intuitive organizational structure There seem to be some types of analysis on the analysis section, but I ( a product manager) can't figure out how to use I had no trouble teaching myself Looker, SQL, or data studio, but I have a hard time troubleshooting and learning how to do things on Heap
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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
Heap's a great tool for both Marketing and Product teams when it comes to tracking site traffic and better understanding prospect/user behavior. The flexibility that Heap provides when setting up the environment allows us to cater events, properties, and reports specific to each team's need (Ex: Marketing focuses on tracking prospect's behavior whereas the Product team's main priorities to understand user behavior after logging in). From a Marketing perspective, the tool's definitely not (yet) user-friendly and event setup will still require you to have certain technical HTML knowledge in order to do it right, not to mention advanced custom API events that will require web development resources. Heap's best used for a team with dedicated Marketing Operations and Web Development support in order to get the most out of it.
Rebecca Lajoie | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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
I love it for analyzing conversion rates across key pages and understanding where to focus my efforts on first
March 15, 2022

Heap is okay

Score 5 out of 10
Vetted Review
Verified User
Incentivized
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
For marketers, it does have a learning curve and isn't as intuitive and fast as Google Analytics. There is no easy attribution modeling. We also have a lot of data gaps that make Heap data hard to use.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
I think Heap is a remarkably useful tool for web analytics. It's especially great for testing feature adoption, testing two different features, and learning what the impact of various touchpoints are on your customer's journey. I think it is less well suited for tracking the efficacy of various marketing campaigns.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Currently, Heap is being used mostly by the product management team. The data we collected are then sent to be used by other teams (sales, marketing, etc.). The product team uses this mostly to understand the user's behavior, conversion rate and support/validate marketing campaigns. It helps answers features that are commonly used.
  • Auto-captures data , even before you define it
  • Event definition makes it easy to define events for reporting
  • Robust reporting tool
  • Rather steep leaning curve
  • Highly customizable but also can overwhelm users with options
The auto-capture is a game-changer. It tracks all data before you define it so that you don't lose any data that you define afterward. If you are constantly adding new metrics or things to track, everything has been captured for you and is ready for you to report on once you define what you want to report on. You also don't have to put the Javascript code on every page that you want to track the data on, which saves your engineering team's cycle.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
The primary use is for user engagement and behavior. I am looking at [the] number and timing of user logins for each of our customers. I am also looking at their behaviors in the app holistically. We use this information to determine which customers may need more training and support throughout their season with us.
  • Data visualization
  • Organization of dashboards
  • Simplicity
  • Overviews of audience
  • Data aggregation
  • Easier to share information across teams
  • Ability to create PDF reports for leadership
Perhaps I am not as educated on the tool as I should be but I am struggling in how to create useful reports. I need user behavior to roll up to a specific customer, and getting that data to aggregate is not very easy. I would like to have an easier way to create PDF reports to deliver to stakeholders.
September 25, 2021

Heap Experience

Score 6 out of 10
Vetted Review
Verified User
Incentivized
Our organization is still learning how to use Heap but so far it has been helpful. We use it to investigate product questions like how our users are using the site and what we need to change.
  • Investigate questions
  • Provide support
  • Show results to others
  • Can be difficult to understand how to use.
  • Can be difficult to implement; implementation team was a bit lacking.
You should have a good plan for implementation and make sure all the people who need to create reports are involved in the process of setting it up and creating the "events" needed to populate reports. If you want a plug-and-play product, this probably isn't it, but very few analytics products are. Their Support team has been great and quick to answer questions, and they even help build a report for you if you really can't understand it. So far, I've been impressed and I'm excited to learn more about how to use Heap.
Bella Castilla | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Heap is a platform that provides digital experience to users who struggle in different types of digital journeys so that their products and marketing teams are aware of the ways to make the most influential and impactful changes in their digital platforms. This product has improved our customer service by mentioning all the users who find it difficult to make amendments [to] their whole experience.
  • From the time we have been using this we have become much more confident in [the] analysis of data.
  • Analyzing the front-end in the event data is a great feature.
  • Moreover, the way the event data gets automatically captured is also a great advantage.
  • The software is known for its services in Web Analytics and Product Analytics.
  • On the other hand, I think that the tool should have a better onboarding experience because it's currently not up to the mark [in my opinion].
  • [I believe] there is currently quite a steep learning curve which also needs to be improved and made better because users are not too happy with steep learning curves.
  • I sometimes felt that data governance plays an integral role in the functionality of the tool because without it everything just becomes so noisy so I think that this should also be looked into consideration.
I would like to say that this platform is great and incredible. If you are not too sure about where to invest in your Product Analytics then I think you have stopped at the right place because this will cater to all of your requirements in a very good way. In the case of already having good analytic software, I would still recommend you to use this software because this software is a very useful tool for backing up all of your front-end data.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Heap is great at giving you a really well-rounded, analytics view of how your users are interacting with your website. If you are trying to figure how visitors go through your website, set up A-B testing, etc. this is a very helpful tool. And the data you get from Heap is applicable to multiple parts of your product. You can use it to improve the workflow of your users, improve product design, and create better marketing funnels for your leads. It's great at identifying drop-off areas and helps you focus on them to retain users.
  • It is really good at auto capturing events, that automation reduces your workload a lot.
  • It is really simple to create and export reports.
  • Detailed dashboard that includes everything you would need at a glance.
  • Our Development Team found the API really simple to use as well.
  • There is a learning curve. If you are using this for the first time, it will take some getting used to. It can overwhelm you with data.
If you have a SaaS or use your website to market to your users, then I would generally say you need a tool like Heap to optimize how your software and website performs for your users. And their pricing means even small businesses can get started for free. If you are serious about improving the flow of your consumers across your platform and capturing meaningful data of their behavior then you can absolutely use Heap.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Heap is a new data tool being used by our org. We use Adobe Analytics historically, which is not as user friendly.
  • User friendly.
  • Modern tech.
  • Tutorials.
  • Deeper dive on event definitions.
  • Integrations with Optimizely - more detailed overviews of how it works.
So far, so good. I need to dive in further to learn more.
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