I used the solution for implementation, debugging, and Q&A.
Heap
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A solution similar to Google Analytics with more features but has high pricing
What is our primary use case?
How has it helped my organization?
When I started, I was very new to that. So, I went through the first requirement to understand how it would be helpful for the implementations and the data analytics we needed to capture. It was related to financial matters, specifically a BFSI project I was working on. We wanted to understand how the form journey in Heap started and how the cross-platform journey functioned. This presented some challenges, but we addressed them step by step. We also took some help from the Heap teams and reviewed the documents their support team provided. Through this, we analyzed the cross-channels and user behavior on the website and how the platform operated across different devices.
What is most valuable?
It's similar to Google Analytics, and there are more facilities here. You have more navigation. You can track customer behavior with your project, such as how the customer envisions, navigates, uses CPA, and every touch point on the website. You can plan to optimize the phases and the customer behavior of the journey.
We can understand the customer journey. You can explain the customers' behavior, where they are engaging your product, and where they are engaging with your mediations on the website. This will give you optimistic insights to make decisions about your product journey.
What needs improvement?
The solution could be cheaper.
For how long have I used the solution?
I have been using Heap for one year.
How are customer service and support?
Support is good because every team has some capabilities. Their product is reliable, and we use it successfully. This implies that they are capable of providing support. Secondly, the frequency of contact is important. However, if we have a higher number of tickets, there are delays. There is always a ticket queue, and priorities must be assigned. Once priorities are set, they can provide solutions because every ticket has its level of importance.
How was the initial setup?
The initial setup is easy. The prerequisites are basic HTML, CSS, and JavaScript.
What's my experience with pricing, setup cost, and licensing?
It's more expensive. However, it also provides a free version. It depends on each, such as how the customer is trying to use it and the plan's actual benefits. Heap has multiple plans. You can start with the KeyOne, and it depends on the users. You can upgrade yourself on the placement.
What other advice do I have?
There were associated technical managers who helped us with data synchronization. For example, if we wanted to get data from Heap to our internal sources, such as Google Cloud, we used tools like Alteryx. These managers assisted us with pulling the data via APIs or other necessary methods.
It is pretty easy, and anyone can use it. It is focused on healthcare products, e-commerce products, and the BFL Five project. Additionally, it can provide product details. Some SaaS companies are also using this product.
I recommend the solution.
Overall, I rate the solution a seven out of ten.
Autocapture is awesome
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
We use Heap to:
1. Measure and track customer engagement for our busines-to-business web applications.
2. We use these engagment measures to identify issues in upcoming annual renewal processes and ongoing customer engagement.
3. Measure and analyze the success of new product features and identify areas for improvement in our existing features.
1. Measure and track customer engagement for our busines-to-business web applications.
2. We use these engagment measures to identify issues in upcoming annual renewal processes and ongoing customer engagement.
3. Measure and analyze the success of new product features and identify areas for improvement in our existing features.
Indispensable tool for insights
What do you like best about the product?
You can get very granular detail on user behaviour, knowing exactly who is using what and how often is exactly the information every business should be leveraging for product improvement!
Installation is so easy, development don't need to do a lot of work to add the script and you are collecting data from day 1.
Our CSM and their support team are excellent resources for helping with complex problems and the UI is always improving and easy for beginners to get started with!
I use it almost every day, it's as valuable as having 3 extra research resources and 3 times as fast!
Installation is so easy, development don't need to do a lot of work to add the script and you are collecting data from day 1.
Our CSM and their support team are excellent resources for helping with complex problems and the UI is always improving and easy for beginners to get started with!
I use it almost every day, it's as valuable as having 3 extra research resources and 3 times as fast!
What do you dislike about the product?
It can be kind of pricey depending on what you use it for - pay attention to the sessions and the volume of projects you intend to have. They are great people and will try to get you good value for your money, explain in detail what you want to get out of it, and they will try to get you the best deal!
What problems is the product solving and how is that benefiting you?
It gives me data and insight into who uses what and when, these are the most important questions to answer in UX.
One of the latest AI features has really hit on exactly what the challenge is for new users which is how to get answers to specific questions using data - this is one of the benefits of Heap which really helps me in my daily work, getting answers to business questions without needing to wait weeks for answers, all the data is at your fingertips, and once you have answered that question, you can keep those charts and dashboards and share them with anyone else in the company!
Very happy and proud of the work we have done in our company using Heap as the catlyst, it's all about getting questions answered and FAST.
One of the latest AI features has really hit on exactly what the challenge is for new users which is how to get answers to specific questions using data - this is one of the benefits of Heap which really helps me in my daily work, getting answers to business questions without needing to wait weeks for answers, all the data is at your fingertips, and once you have answered that question, you can keep those charts and dashboards and share them with anyone else in the company!
Very happy and proud of the work we have done in our company using Heap as the catlyst, it's all about getting questions answered and FAST.
An excellent autocapture tool for clickstream data
What do you like best about the product?
The live data stream makes tagging exactly the right event beyond easy. The metadata that comes along with each event out of the box is better than other autocapture tools and saves me so much time. The reporting capabilities are also more robust than other options, and you can build a wider variety of reports with Heap than you can with similar tools.
What do you dislike about the product?
I have not found Journeys to be as helpful as it was cracked up to be, but otherwise the reporting is great. Other very minor things, like checking on plan usage only shows you how many total sessions you've used, not X sessions out of Y allottment, so it's not helpful really.
What problems is the product solving and how is that benefiting you?
We previously had zero clickstream data on our product! It made understand where to make platform changes, how to design interactions, and other business-critical decisions incredibly difficult, and we did a lot of work based on annecdotal feedback and gut feeling.
Easy to use
What do you like best about the product?
It is really intuitive! The ui is easy enough I was able to pull useful dashboards without any previous knowledge. I know it capable of much more since I have seen colleagues do complex analysis with the available data...
What do you dislike about the product?
Nothing in particular. I do wish it came with some basic general usage dashboards so you need to start from scratch.
What problems is the product solving and how is that benefiting you?
Where are users stuck in the flow.
What actions are they engaging more.
What issues users run to more frequently
What actions are they engaging more.
What issues users run to more frequently
Heap is a great analytics tool
What do you like best about the product?
My team has used Heap for product analytics about three years now and we've made good use of it. We review it constantly to improve our product. Here are some things that I think make Heap unique:
- Heap captures a lot of information about user events, so often tracking does not have to be thought out ahead of time.
- Heap's visual analyzer tool is wonderful at helping us look at any page in our product and knowing what our users do on that page.
- Heap provides some good high-level metrics to see how many unique users view our product.
- Heap has good exploration tools to find new problems and data points to study.
A couple of times we've had to reach out to Heap support, and we have received acceptable support in a reasonable amount of time. They were friendly to work with.
- Heap captures a lot of information about user events, so often tracking does not have to be thought out ahead of time.
- Heap's visual analyzer tool is wonderful at helping us look at any page in our product and knowing what our users do on that page.
- Heap provides some good high-level metrics to see how many unique users view our product.
- Heap has good exploration tools to find new problems and data points to study.
A couple of times we've had to reach out to Heap support, and we have received acceptable support in a reasonable amount of time. They were friendly to work with.
What do you dislike about the product?
Here are some of the things we've struggled with on Heap:
- The initial setup is simple and similar to other analytics tools. However, to get their visual analyzer tool to work, we had to do some extra steps that were a little tedious, and it was hard to detect when we had done them incorrectly.
- Because Heap tracks so much data, it is sometimes hard to find the event we're looking for and have even resorted to tracking events with their manual API. (Their manual API is so easy to use)
- Heap has a feature that tracks frustrations clicks, and I think that while it's a valid metric to track, it's really ambiguous to tell when we've fixed it (and trust me, we've tried).
- The initial setup is simple and similar to other analytics tools. However, to get their visual analyzer tool to work, we had to do some extra steps that were a little tedious, and it was hard to detect when we had done them incorrectly.
- Because Heap tracks so much data, it is sometimes hard to find the event we're looking for and have even resorted to tracking events with their manual API. (Their manual API is so easy to use)
- Heap has a feature that tracks frustrations clicks, and I think that while it's a valid metric to track, it's really ambiguous to tell when we've fixed it (and trust me, we've tried).
What problems is the product solving and how is that benefiting you?
Heap serves as our product analytics. It helps us find answers to many questions, including:
- What do users do in our product?
- Are users adopting new features?
- For our features that consume a lot of resources, what functionality do they use, and therefore which should we prioritize development on?
We benefit greatly from Heap. It often allows us to find answers when we ask them, and not just when we anticipate questions in the future. This saves us development time because we now spend less time instrumenting analytics in our product than before. And Heap's visual analyzer tool allows us to see how pages are used by our users.
- What do users do in our product?
- Are users adopting new features?
- For our features that consume a lot of resources, what functionality do they use, and therefore which should we prioritize development on?
We benefit greatly from Heap. It often allows us to find answers when we ask them, and not just when we anticipate questions in the future. This saves us development time because we now spend less time instrumenting analytics in our product than before. And Heap's visual analyzer tool allows us to see how pages are used by our users.
heap review
What do you like best about the product?
UI gives us insights about customer activities, and usage of the platform, and is user friendly
What do you dislike about the product?
limited configurations, limited data vizualisation
What problems is the product solving and how is that benefiting you?
heap gives us insights on how the customer got stuck in a technical issue, without them explaining it to us
Questions to insights in seconds!
What do you like best about the product?
1. The speed. Heap is amazing at running queries at lightning speed on event streams (which is what most product instrumentation is about). Using traditional SQL methods takes much longer.
2. Very intutive to use once you get the hang of it. It takes some time to get used to events and properties BUT once you do it is very seamless.
3. Amazing customer support. I have found Heap's customer success team to be one of the most proactive success teams around and they are super helpful in getting things done.
2. Very intutive to use once you get the hang of it. It takes some time to get used to events and properties BUT once you do it is very seamless.
3. Amazing customer support. I have found Heap's customer success team to be one of the most proactive success teams around and they are super helpful in getting things done.
What do you dislike about the product?
1. They could improve their integration with Segment by bringing in more metadata from Segment. This is a very meek downside compared to all the plus points to be honest.
What problems is the product solving and how is that benefiting you?
1. Heap provides key insights into user journeys on the app - which helps us take decisions around improvement of UX.
2. Heap allows us to quickly get from question to insight saving a lot of time for tech and non-tech folks alike.
2. Heap allows us to quickly get from question to insight saving a lot of time for tech and non-tech folks alike.
Great self-service user metrics tool
What do you like best about the product?
I've used a few other user metrics tools before. Heap has had the best self-service aspect. It took a little work going through the education materials to figure out what I needed to do, but once I understood all the tools and metrics available it was pretty fast for me to start creating charts.
The Live Data Feed is great. It allows you to pinpoint the exact user interaction you are trying to measure without having to work with engineers to add segment events.
Heap has allowed me to gather quick insights when I needed to make fast prioritization decisions and I have set up longer-term monitors on things I want to keep an eye on.
The Live Data Feed is great. It allows you to pinpoint the exact user interaction you are trying to measure without having to work with engineers to add segment events.
Heap has allowed me to gather quick insights when I needed to make fast prioritization decisions and I have set up longer-term monitors on things I want to keep an eye on.
What do you dislike about the product?
Heap auto generates great visualizations for each metric and you can choose the type of chart based on your data (bar, donut, line, table). I do wish I could customize visualizations with my own colors or add notes to data points when I want to create a chart for a presentation. Now, I have to take a screenshot and add the notes outside of Heap.
What problems is the product solving and how is that benefiting you?
The self-service Live Data Feed allows me to gather quick user metrics of exactly what I need so I make faster decisions.
A great Product that is initiative and provides deep insight quickly
What do you like best about the product?
The ability to create KPI's and insights from a large set of data is unique, and provides a functionality that is almost impossible to replicate without a significant amount of effort in a homegrown solution.
What do you dislike about the product?
The biggest downside is how quickly events can pile up and create goverance problems without someone dedicated to currating the events.
What problems is the product solving and how is that benefiting you?
Solves the problem of Product analytics holistically, and creates a ease to navigate interface that is powered by a powerful data layer behind it that enables using thousands of data point without feeling overwhelmed.
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