Google Analytics 360 (formerly Google Analytics Premium) was an enterprise-level analytics solution that was sunset in July of 2024.
$150,000
Up to 1 Billion hits/month
Heap
Score 8.3 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
per month
Pricing
Google Analytics 360 (discontinued)
Heap
Editions & Modules
Google Analytics Premium
$150,000
Up to 1 Billion hits/month
Google Analytics
Free
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
Google Analytics 360 (discontinued)
Heap
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
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
Google Analytics 360 (discontinued)
Heap
Considered Both Products
Google Analytics 360 (discontinued)
Verified User
Director
Chose Google Analytics 360 (discontinued)
GA is more extensive than Heap, however, it's also more difficult to wrangle the data into our own warehouse. Heap data is easier to integrate as it has data sharing for Snowflake where GA doesn't, at least not when used it. I believe Heap is less expensive.
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
Heap was the clear winner in our comparison as it had a clear interface which allows for easy graph and table making. The best part of Heap is that it saves each and every action performed on all of our webpages. Even if a certain event is not defined, it can still be created …
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 …
As I mentioned before, Heap has been by far the most user-friendly tool out there to easily get tracking events defined, and quickly create intuitive reports and dashboards. It doesn't require a lot of engineering effort once the tool is set up. It provides so many quick ways …
We actually still use both Google Analytics 360 & Heap for different parts of our product and websites. Personally, I think Heap's UI is easier to use for non-technical users and it's much easier to accomplish the types of analysis we do on a regular basis in Heap.
Heap has an edge on Google Analytics due to auto-capture and ease of defining events. Heap has an edge on Hotjar, as it helps build funnels and has powerful filter/group by capabilities. FullStory is just session recording and focuses on one aspect of [the] engagement.
I have used Google Analytics in a prior life. This works out very well, and we know if multiple people are trying to log in. Google Analytics is more robust but harder to use.
I've used Google Analytics at two other places and I've used it successfully as well. I find getting information out of Heap is easier than getting data out of GA.
As I have discussed previously their insights were very useful. The second thing is since it is a Google product you will connect the data very easily from other platforms like Bigquery, Google Drive, etc. and even you can connect Google marketing platform. through this tool, you can track your live campaign how they were performing, and how it will be engaging your customer as well.
Scenarios when Heap was well suited: It is when a user claims that he encountered a bug without giving us the details of the error message. Scenarios where it is less appropriate: Its when we try to capture user interaction in our mobile app
It is an excellent cloud analytics platform that is easy to install and configure and easy to deploy and use, allowing us to measure web traffic and other tools.
It is an entirely online tool; it does not take up hard disk space like other desktop tools.
Since this tool is draggable, Google is constantly adding more features.
Even beginners who do not have a custom dashboard can get information. If there is a problem somewhere on the site that needs to be investigated, Google Analytics 360 will notify you.
Generally I think there is a lot you can do within the tool, but as it is a Google product it means there is limited support - something which I think lets all of the platform stacks down
There could be more visual signifiers to identify if a feature is a normal or 360 feature. This would mean you can really get to grips with what the extra more advanced elements are
Google Analytics 360 is an upgraded version of the most widely used web/app analytics tracking tools in the market. The price is stable and predictable making it a long-term product of choice. It's easy to use and pairs so well with other Google Marketing Platform products.
It's a great platform. I'm glad that one of our product managers introduced it because it has allowed us to create all kinds of new functionality. We're not only able to create a better product experience from our communications because of Heap, but we're also able to generate all kinds of helpful analysis.
The UI is very easy to navigate and use. The features are well designed and intuitive. As long as the user has a good understanding of basic digital analytics definitions and capabilities, this tool should be quite easy to use. I consider Google Analytics Premium to be the easiest of all of the enterprise solutions out there to use.
On a scale from 1-10, I find Heap to be incredibly user-friendly and easy to use. I enjoyed the training videos available and was quickly able to pick up how to create events and reports to track user interactions on our product. I would recommend Heap for its usability first and foremost.
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
Heap doesn't affect page load times considerably nor has a large impact [on] our overall score, as far as page loading times inside of the tool its pretty reliable to retrieve data as much as "instant" that it can be the delay seems to be on data getting tracked into the servers to be read but it's not significant.
If you purchase Premium through a reseller like LunaMetrics, you are going to be taken care of. The additional amount of support and services that a reseller provides to make sure you have the best experience with the product is the reason why the reseller program exists to begin with. Support doesn't have to be just reactive, it can be proactive as well.
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.
There is a ton of information online about Google Analytics, but Google Analytics Premium users will have dedicated support and training from Google or an Authorized Reseller.
If you already have the basic version of GA installed, "getting" GA Premium happens immediately through a virtual flipping of the switch - no need to re-implement. You'll want to expand your use of custom dimensions and metrics (you get 10x the amount with Premium). Ideally, you'll be using a tag management solution to talk with GA Premium, in concert with implementing a dataLayer (to note, Google's Tag Manager platform is covered under the same GA Premium SLA, and it's free). There are some welcomed "configurations" with GA Premium, such as integrating with DoubleClick products, activating data driven attribution models, and building roll-up executive reports - but all of these are easy point and click solutions. In comparison with any other enterprise analytics solution, implementing GA and GA Premium is traditionally easier and more flexible. And if you have any trouble or need an extra set of hands for implementation, GA Certified Partners like LunaMetrics can help
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.
Unless you have very complex and edge case analytics needs, Google Analytics [360 (formerly Google Analytics Premium)] is likely going to be the best choice. From both a cost and usability stand point, Google wins. Adobe has the edge case when you need to create really custom reports, dimensions, metrics, etc. In my experience, this is rarely the case and you end up biting off more than you can chew. Stick with Google unless you are or plan on hiring an Adobe Analytics expert.
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 is a lot of automation with minimal engineering effort.
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.
