Heap
Top Rated
Heap
Starting at $0 per month
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What is Heap?
Heap is a web analytics platform captures every user interaction on web iOS with no extra code. The tool allows you to track events and set up funnels to understand user flow and dropoff. It also provides visualization tools to...
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How Heap Differs From Its Competitors
Awards
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Pricing
View all pricingFree
$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 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 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
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Reviews and Ratings
(393)
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Reviews
(1-4 of 4)- Popular Filters
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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.
- Conversions
- Retention
- Time to insight.
When certain hypotheses are made about our user base, we can easily dig into the segmentation tools provided by Heap to discover more about our users. Once creating the segmentation, we have been able to implement and test new flows in our CRM platform relatively quick. This has been indispensable for a startup where everything is fast-paced all of the time.
We have integrated Looker with Heap, which has allowed us to pass Looker Properties as events to Heap. Once these events exist in Heap, we're able to create segmentation to analyze this cohort further. From there, we pass these segmented lists to our CRM platform to create messaging workflows curated to the end user.
We didn't choose Heap over the others listed above. But we use Heap in conjunction with several other platforms in order to better understand our user base. Heap has been a great addition to our repertoire of usable tools and we love how it has integrated with other platforms...especially Looker!
30
Product managers mostly use Heap, but we also have people from our data teams, communications teams, and executive teams that are using Heap on a regular basis. The wide use by people representing different business functions shows Heaps versatility and relevancy in how it allows us to achieve better business outcomes.
10
There are people from our data teams and our engineering teams that regularly make sure Heap is working the way it should. They are also able to add in new features or analytics upon request, which has been very helpful for making the platform more robust. There is a small learning curve to Heap, but it really doesn't take a ton of time to learn how to use.
- Individual User Behavior
- Cohort Analysis
- Syncing with our CRM
- A/B Testing
- Syncing with Looker
- Creating an abandoned checkout flow based on page views
- Learning where our users go in the app
- Product funnels from communications
- More robust architecture with our CRM
- Detecting bugs
No
- Product Features
- Product Usability
I wasn't involved in the purchase of Heap. But knowing the way the product manager who purchased Heap thinks, I can see that the functionality of Heap was a huge point of consideration. Fortunately, it has paid out because we've been able to learn from Heap. It is intuitive to use and offers a ton of features.
I don't think I would change anything about the selection process. We're happy with our purchase and will continue to use Heap in an ongoing basis. I'm confident that we did our due diligence of research prior to purchasing this product. That makes me feel confident that we made the right decision.
- Don't know
- We didn't encounter any issues
No, we didn't purchase premium support. We have been happy with the support that Heap offers so far and don't feel the need to upgrade to additional support. If there comes a time when it might be needed though, we might consider upgrading to premium support. So far the support has been great.
No
I can't think of any right now.
- Segmentation
- Page view tracking
- Building charts
- None that I can think of
September 25, 2021
Love Heap Way Better Than Other Analytics Tools I’ve Used
The Product and Engineering teams use Heap to track product usage. This allows us to measure product usage.
- Tracking events without engineering needed to add instrumentation for each action.
- The Heap UI is better than other tools like Amplitude and Google Analytics
- The user flows can be a bit clunky. I need to go to one screen to define an event, then another screen to add it to a report. There is a disconnect here between these two steps.
- I create a report on the events page and not the reports page, which is not intuitive.
- A getting started video would be helpful to explain the steps of defining an event, how to create a report, and how to add it to the dashboard.
- Freed up engineers to work on other projects which is directly tied to ROI.
Just looking at page views, I realized that certain pages had a much greater number of views than other pages, which helped us understand where we should be making an investment in the product.
I prefer Heap to all other tools I've used.
2
Product
2
Product and engineering.
- Product usage
- Marketing page usage
Not Sure
- Product Features
- Product Usability
April 16, 2021
Happy customer
We largely use Heap to measure the effectiveness of various marketing campaigns we are running to attract new customers to Saatva.com.
- Detailed documentation.
- Responsive support.
- Robust API.
- UI isn't as friendly as it could be.
- Can be complex for less technical users.
- Increased engagement with certain customer personas.
- Improved marketing spend on channels that make a difference on our bottom line.
Implementation was straightforward and took less than 2 months, ongoing use and building has been harder than expected.
- Google Analytics 360 (formerly Google Analytics Premium)
Heap separates from the Google stack mainly because of the user level information we can get in Heap.
20
Marketing, Engineering, Product, Operations
2
Web Analytics experience, deep understanding of tracking and how we instrument our web applications to understand our customer journey
- Web Analytics
- Customer Journey
- Personalization
- Click stream analytics in our warehouse
- unsure
No
- Product Features
Able to get hit level clickstream data into our data warehouse easily.
none
- Third-party professional services
Mammoth Growth
No
- None
- no training
It's pretty easy and the documentation will get you the training you need to be successful with the product.
Follow their documentation
No - we have not done any customization to the interface
No - we have not done any custom code
No
No, don't need it
Yes
Yes
We've needed consulting on our implementation and Nora has been really helpful!
- Basic reporting
- Configuration is straightforward
- Sometimes easy to get lost in the various screens
- Athena
It wasn't difficult to achieve but was somewhat time consuming to setup (most on our end)
- No
No
- API (e.g. SOAP or REST)
- ETL tools
nothing
None
No
No
- N/A
- N/A
No
No
March 19, 2021
Retroactive tracking is simply amazing
Heap is being used primarily by our product department. We have been using Heap to better understand our users' full journey across our site and their interactions with the various touchpoints. We've also been using it to optimize our conversion funnel and identify potential areas for improvement. By giving us visibility into how our users use our product, we can derive more actionable insights.
- Being able to create events after the fact and still view the data is simply fantastic
- The configuration is point and click, which makes for an easy set up, especially for non-technical users
- I don't worry about the idea of creating a customer acquisition plan from the beginning because Heap helps me do it
- There are a lot of features and functionality of Heap and it can be a little overwhelming at first; this is a good problem to have but I definitely found it intimidating at first but stick with it
- If you are used to Google Analytics, it takes a bit of time to understand Heap metrics, as they are quite different--more user based and funnel based
- It can be difficult to navigate and can be confusing to know which primary menu item will show the appropriate sub menu items
- Conversion rates have definitely improved as we've been able to identify holes in our funnel
- DAUs and MAUs have increased because we've been able to identify bottlenecks to engagement and underused product features
- The combination of the two points above has increased our NPS/CSAT
Heap was already purchased when I came to use it in my current company.
Google Analytics is more intuitive to use but after you overcome that learning curve with Heap, it quickly becomes a much better analytics tool. The ability to retroactively track metrics is simply fantastic and the point-and-click configuration without the need for code changes put it heads and shoulders above Google Analytics.
15
Product and Design
2
The most experienced users of Heap support the rest of the organisation in terms of sharing knowledge, tips and providing troubleshooting guidance.
- Tracking usage
- Identifying drop off points and rates
- Identifying hotspots and unused areas
- Correlating usage to churn
No
- Price
- Product Features
- Product Usability
The range of features was the most important factor for us - we did not want to let price influence the decision to choose the right tool. We also favored features over usability, which in hindsight should have been a joint factor.
We would consider usability equally alongside functionality.
- Implemented in-house
No
Change management was minimal
No change management was required.
- Ramp up of the tool to internal users
- Rolling out to all our webpages.
We had a good level of Support that came with the Enterprise version of the product.
No
- Event visualizer (after a couple of attempts)
- Integrating sources was very straightforward
- Managing teams, teammates, roles, and projects was enjoyably simple
- Creating and verifying definitions
- Building reports was not as straightforward as I had hoped