MS Fabric Consultant at a outsourcing company with 51-200 employees
MSP
Top 5
Oct 26, 2025
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.
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.
Heap offers a self-service model supported by detailed training, allowing non-experts to manage reporting and track user behavior across web and mobile platforms to improve product development and retention.Heap supports comprehensive user behavior tracking across digital platforms, enabling teams to enhance product development through session replay and autocapture. Integrating seamlessly with dashboards, it provides actionable insights such as rage clicks to improve user experience. Feature...
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.
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.
I used the solution for implementation, debugging, and Q&A.