comScore's Digital Analytix Enterprise (DAX) product was acquired by Adobe in 2015 largely for its European customer base, with the goal of migrating former DAX customers to the Adobe Analytics cloud. Thus, DAX is no longer available.
N/A
Heap
Score 8.2 out of 10
Mid-Size Companies (51-1,000 employees)
Heap is a web analytics platform captures every user interaction on web iOS with no extra code. The tool allows you to track events and set up funnels to understand user flow and dropoff. It also provides visualization tools to track trends over time.
$0
Up to 10k sessions/month
Pricing
comScore Digital Analytix (discontinued)
Heap
Editions & Modules
No answers on this topic
Free
$0
Up to 10k sessions/month
Growth
Starting at $3,600 annually
Up to 300k sessions/year
Pro
Contact Heap Sales
Custom sessions per month and unlimited projects
Premier
Contact Heap Sales
Custom sessions per month
Offerings
Pricing Offerings
comScore Digital Analytix (discontinued)
Heap
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Heap pricing is based on session volume. A session is a period of activity from a single user on your app or website. It can include many pageviews or events.
More Pricing Information
Community Pulse
comScore Digital Analytix (discontinued)
Heap
Considered Both Products
comScore Digital Analytix (discontinued)
Verified User
Anonymous
Chose comScore Digital Analytix (discontinued)
I have proficiency with Google, Adobe and IBM (formerly Unica's) enterprise offerings. For companies primarily interested in basic reporting, managing a lot of users with very similar needs, and who don't necessarily have the in-house manpower or expertise to build a lot of …
Google Analytics stacks up for high level traffic and marketing data but not ideal for enterprises looking user level product interactions in detail. On the other hand Heap stood out for its automatic data capturing, faster onboarding, easy to use dashboards, Highly integrable …
For me, Heap is much simpler to utilize. I've previously used Google and Adobe Analytics but switched to Heap because it provide better features and is easy to integrate. Without a specialist's assistance, I am able to construct dashboards and am convinced that they are useable …
Heap is better because its easy to use, easy to install. With Heap you just add a snippet of tracking code to your header, instead of having to instrument each event like you do with other tools.
all of them may have their own strong suits but Heap is backed by best in class ML and AI algorithms. not only that all this powerful and robust backends are well handles also from the frontend. no matter how good your software is, if it is somewhat hard to navigate or to get …
Heap is better then Pendo and Amplitude. Compared to Amplitude, Heap is cheaper and easier to analyze and use. Configurations might be cumbersome but in the long run, users find it very seamless and easy. Compared to Pendo, Heap offers much superior analytics, event …
The ability to view events in real time as they occur, restrict them to just show mine, and then create dashboards using those events is the finest feature for me. It eliminates the requirement for constant 100% accuracy in documentation maintenance and guessing. I can monitor …
Heap had an edge over Google analytics in many ways. Few points to consider Heap over GA. 1. Low code implementation and less involvement of engineering team. 2. Great reporting dashboard with additional feature of of showing user journey, that helps understand user behaviour
Other applications help to achive the requirements using the current data, but Heap has two driven model one is dependent on past data which is also known as predictive framework and also one dependent upon fly which is adaptive framework. And integration is other tools is …
Heap offers a ton of functionality on a single platform.It also has an smart data science layer to offers suggestions for next steps in the analysis, allowing us to explore alternative paths we may not think to take. The low-code option for updating data is appealing, and there …
Heap blows away the competition in this space in my opinion. Amplitude was the closest competitor but did not have the ease of instrumentation that Heap offers out of the box. Google Analytics has gotten worse year after year and was borderline worthless for our business, as …
Tableau offers more advanced features, but at a much higher cost across all dimensions: price, difficulty of implementation and integration, onboarding effort, prior knowledge required, etc.
Compared to GA, Heap provides a much better UI, and its a much better product analytics tool (considering GA's main functionality is not for Product analytics) Overall, of you, are searching for Product analytics I would choose Heap instead of GA.
Heap is much easier to use versus Google Analytics. Previously, I was using Segment to get channel level data. However, Segment is not a customizable tool to understand top of funnel/web performance in the same way Heap does. Heap Connect is excellent when it comes to creating …
Heap is much easier for me to use. With Adobe Analytics, I needed to work exclusively with a product analyst whose whole job is working in Adobe Analytics. I can create dashboards without help from a specialist and feel confident that they are functional, actionable, and usable …
I didn't select heap. Someone else did. I wasn't consulted during the process either, it was there before I arrived and we recently renewed, but I wasn't part of that process. Hotjar was alright, the heapmap is a neat way to quickly show non-experts where we might have an …
DAx has the features, very advanced features (mentioned later) that a power user needs, and is highly customizable, but doesn't require software or hardware ownership. For those capabilities that are not currently there, the customer reporting team often finds a workable solution that we can present to our client. For the more basic users and executives, the dashboard often meets their needs; else the report tab can help with quick access to metrics that have already been built by analysts. Lastly, the level of complex analysis in the tool still impresses. You can analyze web events at the event level, visit level and visitor level. You can apply filters at the report level (for all three - event, visit and visitor) or metric level (again for all three levels). On top of that, they have a concept of scope and rules which, combined with the 3 levels, can really allow a power analyst to ask just about any question and get an answer.
Heap is well suited for 1. Capture customer journey with session replay 2. Identify customer behaviour and improve overall customer experience 3. Frequent and quick implementations and modifications 4. Comparative analysis for historical marketing insights Heap is not so well suited, if the aim is to capture only analytics data without any goals to improve upon customer experience / targeting appropriate users based on data tracking.
The Auto Capture function does indeed save quite a bit of time, and being able to build new reports off historical data is really valuable.
Interface is really intuitive and user-friendly. Much easier to pick up and use than GA.
Building reports out on the fly is really quick and easy, allowing you to give right into all kinds of analyses.
The Event Definition screen is really useful, giving a quick glance at the most used events, which you then decide to turn into conversions or goals if you want.
An interface for the more basic user that is similar to a Google Analytics or other web analytics tool. One that allows quick viewing of key high level metrics with drill down capability and/or lead to similar reports for further analysis with just a click.
Of course I haven't see a tool do this well in the UI yet, but a hover over data dictionary for metrics and dimensions and link to a pop-up with a more detailed business and technical description. Should be a attribute of a new metric or dimension and editable by admins. As opposed to having to maintain a data dictionary separately.
Overall, quite satisfied with the product. There is a lot of potential with this vendor considering their drive to support as many platforms as possible. There were setbacks and a few negatives, but that's to be expected with any vendor. Hopefully, as comScore continues to flesh out Digital Analytix and take into consideration user feedback, we should see more and more regular improvements to the tool
Heap helps me understand key data points without fussing with the formatting of a dashboard. It gives me the benefit of data analyzation without the fuss of the formatting - as well as the ease of sharing data collected with my colleagues
Sometimes, Heap has issues reconciling similar selectors, and I have not found the manual tagging system to be the most intuitive, especially when best practices are not used when designing the front-end infrastructure. Even so, it helps that the data is unmodified, and all analytics are done through an interfaced layer, so damage and confusion [are] not permanent.
I've never run into any issues with Heap's availability, Heap is always there when I need it. I haven't run into any issues like application errors or unplanned outages during my 2+ years of using Heap. Each and every time I log in to Heap I have a completely functional experience
On a scale from 1-10, Heap loads pages fairly quickly. The only time I experience delays is when I am loading a graph with perhaps too many events or filters on the page. But in terms of creating or searching for events or viewing reports, I don't ever experience a lag.
Heap support has allowed us to troubleshoot and test a lot of different items. Their support team is always helpful and friendly, even when we come to them with the most complicated questions. I think this greatly improves the value proposition of the product because their support team is knowledgable and friendly.
The implementation was smooth and easy. The Heap team helped us with implementation and it went great! Within a few weeks, we were fully up and running and utilizing the platform to its full capability. This is an additional thing that has made this platform so great and we couldn't recommend it enough.
I have proficiency with Google, Adobe and IBM (formerly Unica's) enterprise offerings. For companies primarily interested in basic reporting, managing a lot of users with very similar needs, and who don't necessarily have the in-house manpower or expertise to build a lot of reporting from scratch Google and Adobe's offerings can typically be safer choices. comScore and Unica offer a more advanced, analyst friendly tool that can be essential for targeted marketing and for a more flexible implementation and can still do all the things that their competitors can do - if you're satisfied with the learning curve for basic users, the advanced capabilities of comScore make this a very worthwhile tool for a digital business.
Heap is better because its easy to use, easy to install. With Heap you just add a snippet of tracking code to your header, instead of having to instrument each event like you do with other tools.
The most challenging part of using Heap in a growing organization is the naming and structure in which reports and dashboards are organized. I work within the marketing department and our Heap leader internally works within the IT/Product department, which makes it challenging because we often don't speak the same language, so the learning curve has been steep without any specific use-case examples to leverage online.
My company does not utilize Digital Analytix for our own service, we simply provide professional services for it. As such, I can't really answer this question in a meaningful way.