TrustRadius Insights
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
View PricingOverview
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…
Recent 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
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% |
Comparisons
Compare with
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!
- 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 121)Companies can't remove reviews or game the system. Here's why
March 18, 2023
The collection and processing of data is automated.
The use of Heap in the company is focused on the development of automated data collection and processing systems. [We use this] to obtain a complete analysis of different areas that require tools with robust analysis systems that can provide verifiable reports to know the possible changes that we must perform. [This allows our] clients [to] feel that we are continuously working to satisfy their needs and also to increase our vision of events and projects in relation to the data that we manage to process in Heap. Although Heap is not the only solution that we are implementing to perform data analysis of the behavior and interests of customers in the company, we can use this tool for more specific aspects that result in productivity growth in high percentages.
- Robust automated analysis of customer behavior and interests helps make the necessary changes.
- Heap has a fast and powerful data collection and processing system that takes into account every specific detail related to the web.
- It also generates reports after data analysis that help my team to know the possible changes that we must make.
- Heap is an intuitive tool that has good analytics and I don't really see anything negative about this product.
- The usability is good, the technical support is attentive, it performs automated data analysis and also generates robust reports, these are the best features of this software and they are the ones that give me a satisfactory opinion.
December 03, 2022
Heap : Simplified Customer Analytics for Dummies
Heap is much better compared to Google Analytics/Adobe Analytics as I can label the user tracking events on an adhoc basis. It allows me to get insights quicker and make much better-informed decisions.
Team is now able to track how newly released features and releases recently gone live are performing and helps us get observability level as to what we can be done better for those that aren't performing upto the expectations. Heap is a great tool to help us understand how exactly users are engaging with our platform and what they see as trouble areas.
It helped us summarise out numerous interactions that are used to identify issues in the user experience.
Team is now able to track how newly released features and releases recently gone live are performing and helps us get observability level as to what we can be done better for those that aren't performing upto the expectations. Heap is a great tool to help us understand how exactly users are engaging with our platform and what they see as trouble areas.
It helped us summarise out numerous interactions that are used to identify issues in the user experience.
- Intuitive Dashboard
- Frequent Releases from Heap team
- Funnel Analysis
- Custom Property Filters are lacking
- Missing Integrations with Industry standard tools
December 03, 2022
An essential tool for studying user behavior!
The majority of our experience has been pleasant. With Heap, you have the ability and freedom to assess the user experience of your website at the most fundamental level and then build upon it. This tool, which again operates right out of the box, is the easiest available for determining how each button, design, feature, functionality, page, and tool affects our consumers.
- Flexibility in how context-relevant data layers are displayed.
- Easy and seamless integration with other tools we use like Kameleoon.
- Various options for reports.
- Excellent user experience overall.
- Customer support has to be improved.
- There may occasionally be some bothersome glitches.
- To be able to use the platform, you do need to undergo proper training.
December 03, 2022
Auto-capture every user interaction with no manual event tracking. No messy tracking plans. No custom ETL pipelines
How you use Heap in your organization?
We use Heap to auto-capture every user interaction in our website. it used by the product and marketing teams to better understand user behavior, find errors, and make more informed decisions about product changes.
What are the business problems the product addresses and what is the scope of your use case?
When one of our users informs us that he has encountered an issue with our site we use Heap to define events retroactively and immediately do analysis on those events.
We use Heap to auto-capture every user interaction in our website. it used by the product and marketing teams to better understand user behavior, find errors, and make more informed decisions about product changes.
What are the business problems the product addresses and what is the scope of your use case?
When one of our users informs us that he has encountered an issue with our site we use Heap to define events retroactively and immediately do analysis on those events.
- Automates away the annoying parts of user analytics
- Can define which pages people were on, what element they clicked on, the color of the button, the target text on the click, the actions users took before and after clicking, the users’ titles, what other actions users who click that button tend to take
- Make some deeper and more specific tutorials for the tool
- Heap does not work for native mobile apps because it doesn’t offer a way to define custom events
December 03, 2022
power of AI/ML meets with Best UI/UX to deliver optimal ROI
we're having company portfolio site that we recently redesigned. to ensure optimal ROI, we went to the market and stumbled upon this magnificent gem of a tool.
even non-technical staff at our office seems to work with Heap just fine. it is heavily dependent on visual aspect like UI/UX. by no means, I'm implying that their backend logic is not sound. its advance and uses latest AI and ML practices to derive its results. they manage a perfect balance and gives best of both worlds.
some of the useful features that we heavily used were, session replay. we pin-pointed customers from certain industry and analyzed their behavior. for example one of our well established customer already had their applications running in cloud, they specifically navigated to the DR (disaster recover) part on the page. after collecting this insight, we approached them and it was a hit. we're now serving them DR solutions.
even non-technical staff at our office seems to work with Heap just fine. it is heavily dependent on visual aspect like UI/UX. by no means, I'm implying that their backend logic is not sound. its advance and uses latest AI and ML practices to derive its results. they manage a perfect balance and gives best of both worlds.
some of the useful features that we heavily used were, session replay. we pin-pointed customers from certain industry and analyzed their behavior. for example one of our well established customer already had their applications running in cloud, they specifically navigated to the DR (disaster recover) part on the page. after collecting this insight, we approached them and it was a hit. we're now serving them DR solutions.
- session replays
- shows visual indicators of where users have clicked
- effort analysis to detect UX improvements
- pricing would be a likely aspect
- speed seems to suffer a bit but at this massive scale, its not much to complain
- customer service response was a bit sluggish
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 Product analytics
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
December 03, 2022
Robust software with great analytical capabilities
Heap is assisting us in determining our next course of action. We have the ability to verify or disprove any default assumptions we may have. We are better equipped to determine when further in-app or other messages is useful or essential. Naturally, one of the fundamental components is the ability to locate friction points in a process that has been created for our clients.
- Data flexibility
- Understanding user interactions
- Ease of A/B Testing
- Requires additional segmentation
- Difficult to learn
December 03, 2022
Heap - a great Digital Insight Platform
As an implementation partner, I was tasked with product comparison and choose between various marketing analytics platform. We did a comparitive analysis between Heap and Google Analytics. The scope of my use case was
1. Reduce dependency on engineering team to generate perpetual dashboards.
2. Provide real time data insights for re-marketing and personalization.
3. Quick and continuous site(s) level implementation, based on data insights.
4. Side by side comparison of historical data
1. Reduce dependency on engineering team to generate perpetual dashboards.
2. Provide real time data insights for re-marketing and personalization.
3. Quick and continuous site(s) level implementation, based on data insights.
4. Side by side comparison of historical data
- Realtime interactions which are captured automatically is a unique feature which no other product offers.
- Low code implementation is a big plus for marketing teams, as there is less dependency on engineering
- Detailed customer behaviours can be studied with captured replay sessions
- Due to all the above points - it helped to improve customer experience
- During our analysis, I could not find any such area of improvement as of now.
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
December 02, 2022
Best Tool to capture User Activity
Heap has also allowed us to see user funnels and behavioral trends. Heap gives us the ability to distinguish different users based on the actions they conduct within our application. While utilizing the tool, from operations to product to business stakeholders, have a real-time pulse on how features are being used by end users, which helps them identify spots of friction and prioritize projects.
- With the help of Heap, we are able able to monitor client and patient activity.
- Heap can help you make better marketing decisions every day.
- It assists marketers in developing their data literacy.
- should provide data on the UI that is more in-depth.
- Measurement can also be challenging because heaps are often prone to data loss.
December 02, 2022
Use Heap to turbo-charge your business analytics
I used Heap to better understand user behavior and our applications' system behavior. This helps us troubleshoot customer pain points in our system, and formulate a comprehensive solution to rectify the problem. Insights from Heap are also helpful with helping us prioritize what is urgent/important to our users.
- Flexible and customizable
- Great data visualizations
- Easy to learn
- Fast
- Constantly changing/improving, need to tweak to incorporate new features
- No Flutter SDK/ lacking mobile support
- Limitations to graph analysis (not in depth enough)
November 23, 2022
Fantastic web analytics tool that does what it promises.
In our scope we mostly use Heap for identifying and fixing issues. Heap allows us to have immediate insight in all our user behavior by analyzing each step they take on our web domain. If a specific step performs less well, Heap will show us exactly where the performance dropped and why.
- Analyze funnel behavior.
- Watch replays of user sessions.
- Extract data sets on specific user actions.
- More intuitive interface for session replay.
- Make it easier to perform different time comparisons within funnels.
- Offer a cheaper price plan.
November 23, 2022
Heap is a highly recommended and easy-to-deploy analytics tool
We use Heap to track and analyze user interactions on our web platform.
- Plug and play interface.
- Non-developers can use it easily.
- For smaller objects within a larger, it may be difficult to use the Visualisation Tool to target that smaller object for analytics.
November 22, 2022
Heap is great for understanding user behavior
We implemented Heap to be able to track behavior on our patients' and clients' sides. The benefits of the service are felt across the organization: from ops to product to business stakeholders, Heap users at Cerebral have a real-time pulse on how features are being used by end-clients and to understand points of friction and to prioritize projects.
- Tracks provider behavior in the EMR
- Tracks results of AB tests
- User behavior in onboarding funnels
- How to structure events in funnels - there should be an option to add an OR in the last part of the funnel - i.e. people who subscribed to PLAN X or PLAN Y
- The customer support is okay - but had hiccups during setup
- Comparison paths - if we want to have two funnels but follow people who clicked "Yes" to a chart vs those who clicked "No" (there is the compare users option) but we cannot have two separate funnels side by side which would be ideal
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 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
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 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
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
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.