Heap Reviews and Ratings

Use Cases and Deployment Scope

We are a SaaS based enterprise specifically focusing on e-commerce and digital services. While Heap is primarily used for Product Analytics and User Behavior Tracking within our organization. We do in depth analysis of how user interacts with our platform such as sign up flows, checkout pages or content engagement. Before Heap we seriously face challenges in identifying drop off points and user friction areas and substantially requites our back end team monitor every tracking change. On the other hand Heap solves this issue drastically by providing auto capturing of events which significantly reduces manual intervention. This all together saved a lot of time and improves agility. From a business point of view our Market and Product teams utilizes Heap to prepare data driven strategies. We can now quickly test UI changes, Monitor conversion funnels and identify touchpoints drive the most engagement and revenue. Heap is a powerful tool for an organization looking to prepare planning roadmap and to significantly improve customer experience.

Likelihood to Recommend

I would give Heap 8 out of 10 and would definitely recommend it to colleagues especially those working in product, marketing, UX teams. The platform's Auto Capture technology, retroactive funnel analysis and ease of use for non technical teams make it stand out among analytics tools. However, I'm holding a perfect score because of few limitations like delayed data refreshes at times, a bit of learning curve for new users and less developed mobile app support. But overall, it's a highly valuable tool that has significantly improved how we track, analyze and act on user behavior. If your team needs deeper product insights without heavy developer reliance. Heap is one of the best choices available.

Use Cases and Deployment Scope

Heap is much better compared to Google Analytics/Adobe Analytics as I can label the user tracking events on an adhoc basis. It allows me to get insights quicker and make much better-informed decisions.

Team is now able to track how newly released features and releases recently gone live are performing and helps us get observability level as to what we can be done better for those that aren't performing upto the expectations. Heap is a great tool to help us understand how exactly users are engaging with our platform and what they see as trouble areas.

It helped us summarise out numerous interactions that are used to identify issues in the user experience.

Likelihood to Recommend

Well suited for tracking adhoc custom events and helped identify specific use-cases which we did not realized were important for our platform.

Use Cases and Deployment Scope

The majority of our experience has been pleasant. With <b>Heap</b>, you have the ability and freedom to assess the user experience of your website at the most fundamental level and then build upon it. This tool, which again operates right out of the box, is the easiest available for determining how each button, design, feature, functionality, page, and tool affects our consumers.

Likelihood to Recommend

For web/app event tracking, we utilize Heap. As a technology business, we rely heavily on the product analysis tool's successful deployment and tracking capabilities. Heap's quick chart generation and dashboard features are truly intended for product analytics. Although it may fall short for large enterprise-level businesses, it is excellent for small to medium websites and applications.

Use Cases and Deployment Scope

Heap was used and tested for an insights platform. It can enhance the understanding of any type of customer behaviour and path. These insights can be used for better design of processes, understand the user experience, as well as make them use the platforms more. It can pinpoint areas of easiness and difficulty for the customers and this way enable solutions.

Likelihood to Recommend

It is well suited to enhance understanding of any type of user behaviour when moving in a platform. These can then be used to enhance the user experience or the launching of more featurest that the uses deems important. It can also pinpoint items that seem difficult or complex for the users.

It lacks functionalities to make it fully customisable and this is a point that it might need some improvement.

Use Cases and Deployment Scope

<b>How you use Heap in your organization?

</b>We use Heap to auto-capture every user interaction in our website. it used by the product and marketing teams to better understand user behavior, find errors, and make more informed decisions about product changes.

<b>What are the business problems the product addresses and what is the scope of your use case?

</b>When one of our users informs us that he has encountered an issue with our site we use Heap to define events retroactively and immediately do analysis on those events.

Likelihood to Recommend

<b>Scenarios when Heap was well suited:</b>

It is when a user claims that he encountered a bug without giving us the details of the error message.

<b>

Scenarios where it is less appropriate:</b>

Its when we try to capture user interaction in our mobile app

Use Cases and Deployment Scope

we're having company portfolio site that we recently redesigned. to ensure optimal ROI, we went to the market and stumbled upon this magnificent gem of a tool.

even non-technical staff at our office seems to work with Heap just fine. it is heavily dependent on visual aspect like UI/UX. by no means, I'm implying that their backend logic is not sound. its advance and uses latest AI and ML practices to derive its results. they manage a perfect balance and gives best of both worlds.

some of the useful features that we heavily used were, session replay. we pin-pointed customers from certain industry and analyzed their behavior. for example one of our well established customer already had their applications running in cloud, they specifically navigated to the DR (disaster recover) part on the page. after collecting this insight, we approached them and it was a hit. we're now serving them DR solutions.

Likelihood to Recommend

least likely usage for this is to analyze a low traffic site. we particularly have fair amount of traffic so the matrix in end result are somewhat useful. if you're likely new company and have nominal traffic, you might work on your SEO first then leap forward for something like Heap.

it is optimal when used with nominal amount of traffic and have fair amount of analysts who can manage and utilize all this insights.

Use Cases and Deployment Scope

We are using Heap to track and analyze user interactions on the product and determine adoption, usage and other funnel related statistics. There were many undefined events in the past for which we are now able to view the historical data easily, on the spot! It is also very helpful in building the entire funnel and journey of all the users and segment them into multiple buckets

Likelihood to Recommend

Heap is very well suited for analysing and tracking user behaviour across tech apps- more so mobile apps. It is extremely useful for deep diving into engagement metrics, user journeys, user funnels and segmentation and understanding A/B test metrics for your product apps. The service is real-time and responsive. However, it is not well suited for basic application who need just high level analysis and it can be daunting in the beginning to set up tracking on the platform.

Use Cases and Deployment Scope

Heap is assisting us in determining our next course of action. We have the ability to verify or disprove any default assumptions we may have. We are better equipped to determine when further in-app or other messages is useful or essential. Naturally, one of the fundamental components is the ability to locate friction points in a process that has been created for our clients.

Likelihood to Recommend

The data visualizations are excellent and can be easily tailored to your requirements. We are able to track the appropriate data for any project we launch since you have a variety of ways to capture data from a certain Segment event (funnels, journeys, etc.). Heap's commitment to product improvement means that some of my charts and reports require periodic adjustment in order to take use of new capabilities. Occasionally, minor functionality changes as well, necessitating a second look.

Use Cases and Deployment Scope

We use Heap to automatically collect data on our customer behaviour and try to understand the users and their journey. We try to intercept potential problems a user might stumble upon this way.

Likelihood to Recommend

Currently we are testing AB testing, Heap allows us to better understand what is happening here and to zoom in on how we can improve A or B to eventually implement one or the other. It is quite well done

Use Cases and Deployment Scope

In our company, we need to build customer's digital journey because we are not following well our customer nor understand them.

So we are using Heap for the digital insights that the software is giving us.

Likelihood to Recommend

We really wanted to see the issues on our website, and on specific webpages that were not working well. But we couldn't understand why. Thanks to the behavior analytics, we were able to really put ourself in our customers shoes and experience exactly what they are experiencing when they are connecting on our website. We could see which parts were not working well and why the customer was stopping at one particular step.