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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

(383)

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

(26-50 of 233)
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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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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
Or Tamir | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
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.
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.
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • 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
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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!
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
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