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Sometimes, Heap has issues reconciling similar selectors, and I have not found the manual tagging system to be the most intuitive, especially when best practices are not used when designing the front-end infrastructure. Even so, it helps that the data is unmodified, and all analytics are done through an interfaced layer, so damage and confusion [are] not permanent.
The learning curve is very steep and setting up Heap correctly in the first place is super important, having a data governance model is [a] key to prevent incorrect data from being injected into the systems, if Heap is implemented without this any developer can create tracking data that impacts directly the models being created from Heap.
With the use of Heap, I am having peace of mind. It is a reliable platform because I have been using it since last year; it is giving advanced kinds of services.
Heap has made tremendous UI improvements over the year, making it a very easy tool. I think they have good product and design teams working together.
Heap is a great tool, when used alongside other reporting tools, one can confirm and isolate specific results and view them among others. While there are many good things heap offers there are still areas for improvement. First being support, there's a several day delay on any email sent which often require a follow up, also most of the times the answer to my questions are "sorry, that's just the way it is." Secondly more integrations would be amazing we are currently unable to merge our data, for example a Zoho integration would be most useful to us.
On a scale from 1-10, I find Heap to be incredibly user-friendly and easy to use. I enjoyed the training videos available and was quickly able to pick up how to create events and reports to track user interactions on our product. I would recommend Heap for its usability first and foremost.
Heaps makes it easy for users to both define elements and analyze them. There is great training to get people feeling comfortable and great support as well.
Beautiful, clean UI that makes working with data fun.
If you don't know how to write CSS selectors, it can be hard to use Heap. But they offer courses which help you learn how to write these so it mostly works out. They have a feature that's supposed to make it easy to target an element, but their suggestions are a bit too naive depending on how your DOM is set up.
It is easy to get right into Heap and begin using its platform. You don't need to do any other setup once Heap is up and running and all the data is there for you to use. It does not give much guidance on if a particular report is helpful and it may be hard to know exactly which kind of events/queries you have at your disposal.
Super easy to define events, create reports, and organize everything.
I sometimes find it a bit hard to navigate and to get at what I'm looking for. I feel like I have to spend a lot of time grooming it in order to make things a bit easier to work with. There are a lot of features and that can get a little bit overwhelming when all I really need to do is execute a single use case.
It is mostly easy to use for high level information about users and their activities. The tool is lacking easy higher dimension segmentation analysis. Often we aggregate data collected by Heap on the backend to serve our exact analytics needs when the UI is insufficient.
Super easy to use. I read the documentation first and then got to work!
Heap has a pretty clean UI and easy to use UI after poking around a bit. Also the app is pretty responsive overall with searches being very quick to return. Additionally, the overall workflow of being able to define events, write queries, saving as report, and adding reports to a dashboard is all very smooth and easy to do.
This goes back to what I said before, there are some quick wins that Heap can implement to make the usability a lot better, being able to peak into other areas without losing your report, opening in new tab, better folder organization/mgmt.
Great user interface, makes it much simpler to understand than competitors.
It is a bit overwhelming.
It is really easy to define events.
Defining events through the event visualizer is a little tricky. I often need to debug using the Live tool.
Once you've used it for a while, it is very easy to use. It can be a bit tricky to start using.
Very flexible when analyzing data with different ways to drill down to specific results.
Ability to show dashboards is great, but building the individual reports is a two step process to define definitions then build reports - where this could almost be one activity.
Heap is great if you know how to use it! It takes some time to get organized and to fully understand the interface. Once you understand the basics, it immediately adds value and insights can be gathered. A working knowledge of CSS Selectors is highly recommended if you want to be successful with Heap.
The data tracking and management is a 10. The dashboarding and report building is confusing for non-experts and requires a lot of training time (hence the 9). For me it is great and entirely usable, but for non-data analysts it is not easy to use out-of-the box. However, I think the power under the hood more than makes up for the complexity of the front-end UI.
Heap helps those responsible for the digital experience surface blind spots where users struggle or drop off in multi-step digital journeys, so that product and marketing teams know where to make the most impactful improvements to the digital product or website. Heap can be used with the goal of:
- Improving customer experience: Pinpoint exactly where users are struggling and quickly make improvements to the customer experience, ensuring an intuitive, enjoyable user experience.
- Speeding time-to-market and optimizing 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.
- Building increasingly valuable features and experiences: Leverage data to build consensus on engineering investments that can be clearly tied to business outcomes.
- Supported: Autocapture (Codelessly capture every interaction/event in your product or your website)
- Supported: Event Visualizer (Easily locate, tag and name events with this tool)
- Supported: Data Engine (Data Dictionary and Governance tools provide control and organization of your 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, Salesforce, and many more)
- Autocapture - The Secret Sauce of Product Teams (Why Autocapture is such a game changer in user behavior tracking)
- Best Analytics Tools - A comparison by Satchel, an online software comparison site.
- Forrester Study - The Total Economic Impact of Heap (Learn about the business benefits and cost savings enabled by Heap).
- Product Analytics Buyer’s Guide: A guide to choosing the right product analytics solution
Starting Price: $59
|Free||$0||Up to 10,000 sessions per month|
|Growth||Contact Heap Sales||Up to 40,000 sessions per month|
|Pro||Contact Heap Sales||Custom sessions per month|
|Premier||Contact Heap Sales||Custom sessions per month and unlimited projects|
|Small Businesses (1-50 employees)||40%|
|Mid-Size Companies (51-500 employees)||40%|
|Enterprises (more than 500 employees)||20%|
|Supported Countries||Americas, EMEA, APAC|
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 $59.
Adobe Analytics, Google Analytics, and Google Analytics 360 (formerly Google Analytics Premium) are common alternatives for Heap.
Reviewers rate Support Rating highest, with a score of 9.1.
The most common users of Heap are from Mid-size Companies and the Computer Software industry.