Heap analytics has the ability to drill down and track conversion or traffic to a very granular level. Providing a close loop reporting from campaign execution to conversion. Review collected by and hosted on G2.com.

Slightly steep learning curve. There are some components in Heap that are also lacking - the ability to see user behavior like Google Analytics. or the ability to show attribution. Review collected by and hosted on G2.com.

Heap’s automatic event tracking is its strongest feature. It significantly reduces the need for manual instrumentation, which saves time for product and design teams. The interface is intuitive, and building funnels, retention reports, and user journey analyses is straightforward even without heavy engineering support. Heap is particularly useful for understanding real user behavior across web applications. Review collected by and hosted on G2.com.

Some advanced reports can feel complex at first, and there is a learning curve when working with more detailed analyses. Pricing may also be on the higher side for smaller teams or startups. Occasional performance lag is noticeable when working with very large datasets. Review collected by and hosted on G2.com.

I don't need to consider what I'll need to measure in future — I can simply log in, search for the event I'm interested in, and see how our users are using it. It's amazing that, after the initial development configuration, I don't have to do anything to the development site. I can check how new features perform right after we release them. This is the first time I have seen such a powerful tool that requires so little development configuration. Review collected by and hosted on G2.com.

The price could perhaps be lower, but there's really nothing I can complain about. Review collected by and hosted on G2.com.

I like that the UI is very simple and easy to use. Review collected by and hosted on G2.com.

The way we set up Heap with auto capture results in a lot of overhead to sift through many events. I would prefer if we had a specific plan of what we want to capture instead of everything. Also, I don't think it's as enterprise-level as some other analytics tools out there. Review collected by and hosted on G2.com.

I like that heap is so easy for non-technical team members to be able to create tracking events without the need for any coding knowledge or getting the engineering team involved. Review collected by and hosted on G2.com.

The sessions feature is very buggy at the moment it seems and can be quite slow. Review collected by and hosted on G2.com.

I like Heap because it supports learning and skill growth while I’m working on real projects. The work culture is friendly, and it encourages teamwork, continuous improvement, and collaboration across the team. Review collected by and hosted on G2.com.

Sometimes processes take time and things move slowly.

A bit more clarity and faster decision-making would help improve efficiency. Review collected by and hosted on G2.com.

The fully customized events structure that allows us, as product folks, to have. I'm also a big fan of the live events data feed, where we can look at the events in real time and filter the session in prod with our own IP. It seems that it was made by engineers who understand. product needs. Review collected by and hosted on G2.com.

I'd focused more on improving the reporting table outcome so users can have more freedom to select the segments or events directly on the table, without having to refresh the query all over again. Review collected by and hosted on G2.com.

Really easy to use, no learning curve. Connects product data and website data seamlessly. Review collected by and hosted on G2.com.

The web sessions and users are very different than what we see in google analytics. This can cause difficulties with determining source of truth. Review collected by and hosted on G2.com.

I really how easy it is to generate reports and analyze data. You can create dashboard with ease and share public links as well for stakeholders who don't have access to Heap workspace. I really the AI Copilot they have, it reduces huge number of clicks if I want to analyze some data by just asking the Copilot. Review collected by and hosted on G2.com.

Sometimes filters options are confusing and not intuitive. Review collected by and hosted on G2.com.

Heap Analytics' autocapture and post-capture event definition combine to enable us to capture everything up-front and to only making the investment to categorize user events that are actually business-significant. This lets us defer investment or even eliminate investment in defining events. It also enables us to avoid the expense of having valuable developer time taken up inserting event capture code throughout the front-end codebase.

The business value of putting the event definitions and taxonomy in the hands of both our Product Manager and Customer Experience Managers has revolutionized the User Analytics and Product Analytics functions in our company. The value of the freed-up opportunity cost to engineering is multiplicative because it really lets engineering focus on development of customer features instead of being distracted by the cross-cutting concerns of implementing user analytics and in particular of implementing taxonomized product analytics. Review collected by and hosted on G2.com.

The graphical and data analysis features that come out-of-the-box are fine, but not fancy. We also bought Heap Connect so we do have the capability to define arbitrarily complex queries and visualization on Heap data, but it would be nice to have better capabilities out-of-the-box. Review collected by and hosted on G2.com.