The major use case for Heap is for my sales funnel for my gym because whenever we launch ads, we need to understand where we are dropping customers and where we are attracting them; it captures the complete user journey from watching the ads to taking the user to the WhatsApp page for payment.

Because of Heap, we are able to capture where we are dropping customers so that we can improve the ad funnel. The drop-off point that Heap was really useful for was creating great ads from Instagram to WhatsApp to understand where I am dropping off the customer. We were able to understand that after I launched the ad, people used to see it but were not clicking it, and the percentage shown by Heap's analytics helped me improvise my ads and also determine where to place my ads on Instagram.

I have been using Heap in my product management journey to understand users and how and where a user actually drops off in a sales funnel for the past six months. I came across Heap when I was searching for a good user market research tool; first I was using Google Analytics to understand the customer review and the customer's mindset, where we can attract more and where customers are dropping, but once I started using Heap, its auto-capture is amazing and does wonders.

All the features of Heap are very important, but the standout feature that I experienced was Autocapture, which does amazing work compared to its competitor, Google Analytics.

Autocapture is valuable for me because it helps understand the customer journey from the first interaction with the ad or the first interaction with something we are selling to closing the deal. Autocapture does a great job, and this is one of the features I was looking for in Google Analytics and other platforms as well, so I definitely give credits to Heap.

I recommend making Heap stronger, more user-friendly, and integrating it with other apps such as Instagram, Facebook, LinkedIn, and even smaller platforms such as Reddit. If it is integrated with AI, it will be wonderful, just as any ChatGPT or any Chat LLM model would be amazing for any user to use Heap.

To improve Heap, they need to make people more aware of it because the awareness of Heap is not that substantial compared to its competitors.

I have worked in my current field of data engineering and modeling with artificial intelligence for around two years.

Currently, Heap is stable in my experience.

I would rate Heap's scalability around 6 out of 10 because we are still not completely familiar with it.

The customer support for Heap is good; they solve problems very promptly, so I don't have any complaints about them.

Positive

I used to use Google Analytics, but I wasn't able to get complete information about my users. After using Heap, I started understanding the complete user journey because of its great feature, the auto-capture, which captures everything from seeing the ad to closing the deal. This was the reason I switched to Heap, and it's also cost-efficient.

After I started using Heap, I saw an increase in conversions; when I was not using Heap for my gym client, the amount of closes per month was around 8 to 10, but now I'm able to close around 20 to 25, which is a great number.

I have seen a return on investment with around a 25% increase in my sales right now.

My experience with pricing, setup cost, and licensing was a smoother process, and my teammates helped me out because I don't have clear information about pricing. It was a cost-efficient way to get the most amount of data from customers.

Before choosing Heap, I evaluated Google Analytics and also a product associated with hello.ai, which helps with user capture.

My advice to others looking into using Heap is to use auto-capture and complete capture a lot because these two features are really amazing compared to its competitors. The reports it generates, the complete dashboard, and the complete analytics are also amazing. Definitely use Heap if you are more into a marketing background or run ads a lot; then it will be useful, but if you're not a marketing or ad company, there's no need to use it. I rate Heap a 7 out of 10.

My main use case for Heap is tracking user behavior, clicks, and call to action behavior of users in a web application that I developed with a team of people at a previous role.

We applied the Heap software development kit to the web-based application. There were two versions, one was a web app, and one was a mobile app. We put trackers on each one of the main buttons for the primary screens where the user behavior was being tracked. In one instance, we wanted to know on an analytics page, a user and data analytics page that showed users a lot of information, where they click and what information is most interesting to them. We were able to get a lot of information about users on that page, and then were able to reorder the widgets and reorganize the buttons based on the popularity and the eye scan pattern that we saw users using. It was very interesting and useful to have Heap because using the analytics it provided, especially as we segmented different groups of users in the back end of Heap using Heap analytics, we were able to improve the user experience in our application.

We conducted extensive user research about the overall state of our application using the built-in Heap dashboard and widget builders. Heap provides numerous ways to query, group, and segment data. It was very helpful when we were looking at how many pages our application had, which ones were the most popular, and then start to develop theories around why the popular pages were popular and useful. We then tried to get more information about any pages in our application that were not popular and also not useful, which could be removed, changed, or merged with other pages of our application.

The Heap software development kit was easy to integrate into our development stack on the back end. Their ability to quickly build dashboards for describing user activity on the Heap platform itself was excellent. I appreciate the suggestions that Heap makes on the analytics platform. Heap gives many suggested types of user behavior for data aggregation. One of those is rage click, showing which tracked buttons or UI parts receive rage clicks from users. This was very useful in helping us understand other aspects of our application, such as ease of use, responsiveness, and loading times.

The rage click insights helped us understand how to build better data visualization on the pages that already existed but needed to be enriched and improved. The dashboard suggestions confirmed some theories we already had and helped us understand how to build better data visualization on pages that needed enhancement. We knew parts of our application were slow, but the rage clicks statistic gave us the ability to understand where the slowness specifically impacted user behavior. It gave us a way to prioritize which parts of our app to make faster, enabling us to allocate our development resources more effectively.

Heap has positively impacted my organization by giving our team visibility into how users interact with our application, allowing us to move from guessing to real-time information. It removes the guesswork from our feature prioritization and allows us to make decisions powered by real data from real users, providing a true and accurate picture of how users interact with our application and move from page to page and feature to feature.

I didn't encounter many components that were annoying. One main area of frustration was finding data. When wanting to find data about clicks on a specific UI feature, element, or button, sometimes the objects were not named in a descriptive way. That was our problem on the implementation side, not Heap's. I also found that the analytics dashboards in Heap couldn't be customized as much as desired. I couldn't adjust the charts in the widgets or the settings on each widget to the level wanted in either data granularity or physical size of the widget on the dashboard page. Additional flexibility in dashboard building and widget building would be beneficial.

I've been working in my current field for about 10 years or so.

There are no reliability issues; it's been a very stable and reliable application.

Heap scales very nicely. It gives you the ability to quickly and easily make it do more or make it do less.

I have not interacted with Heap's support team. However, I utilized their online documentation and support portal extensively to learn about how the application worked. The documentation is very well structured. The search on the content of the documentation is powerful, descriptive, and granular, enabling me to quickly use the public support materials and knowledge base to educate myself and understand how to get the most out of the analytics side of the application.

Positive

Heap was our first user behavior analytics solution.

The analytics from Heap allowed us to avoid wasting development resources building either the wrong things or experiences in the application that didn't contribute to user value. I could measure the value of our insights from Heap analytics in the tens of thousands of dollars of software development engineering dollars that we were able to save, probably between $15 and $30,000 of savings.

I don't remember if there were any other major options. There probably were; I just don't know which ones we used in the evaluation process.

I would advise others to definitely try it and see if it's the best solution that works well for them. You need to make sure that you know what you want out of a user behavior analytics platform. I care about understanding user behavior and want data. I wanted to be able to chart and graph and work with that data quickly and easily, and Heap provides all of those benefits. It's the right solution for us.

I would absolutely use them again on other applications or at other companies. I have a very favorable and positive opinion of their software.

On a scale of 1-10, I rate Heap an 8 out of 10.

We use Heap to create user metrics, and track page visits, feature usage, and user workflows after engaging with features.

The product's most valuable feature was the ready-made availability of defining events, creating visuals, and storing the data in the database.

The product could benefit from more advanced UI features. Additionally, onboarding new users could be improved by providing a weekly workshop or certification program on how to use and implement it. 

The product is generally stable, but the billing can be heavy based on usage and requires monitoring to control costs.

The platform is used widely across our organization and can be scaled to accommodate various teams, particularly the product and customer engagement teams.

The support team helped create events, name them, label data, and establish workflows. However, their response time could be improved.

The initial setup process was straightforward. 

We implemented the product in-house, and the support from the Heap team was instrumental in the initial setup.

The product generates a good return on investment. 

Heap's pricing can be heavy according to the usage and requirements for control billing.

I would advise potential users to try a demo account to get a holistic view of how they can implement their solution on Heap. This will help determine if it solves their use case.

I rate the product a seven out of ten.