Adobe acquired Omniture in 2009 and re-branded the platform as SiteCatalyst. It is now part of Adobe Marketing Cloud along with other products such as social marketing, test and targeting, and tag management.
SiteCatalyst is one of the leading vendors in the web analytics category and is particularly strong in combining web analytics with other digital marketing capabilities like audience management and data management.
Adobe Analytics also includes predictive marketing capabilities that help…
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Heap
Score 8.4 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
Adobe Analytics
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
Adobe Analytics
Heap
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
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.
The best way to describe Adobe Analytics is that it's the enterprise-level of analytics platforms, in every sense of the word. From the sales process, through to the cost to purchase and implement, the need for ongoing training, and the fact that it really takes an Analytics …
Adobe Analytics has a more modern and friendlier user interface and it's easier to use for me. Google analytics has better compatibility with other Google products
Alas, Heap was selected before I got here, but I will say that its chief virtue is ease of implementation. Adobe Analytics is the ultimate workhorse of web analytics and I could make it do absolutely anything I needed it to. Ad Hoc Analysis allowed me enough drill downs, …
I have worked with Adobe Analytics before using Heap. I think Heap is better at getting your hand on quicker comparisons [than] Adobe. However, Adobe does have more analytical power compared to Heap.
For web analytics, I prefer Heap over some of its competitors like Adobe Analytics, Looker, or Google Analytics, primarily because I find it more intuitive to use. For mobile, I actually prefer Amplitude as I'm not sure that has been a priority for Heap (yet) and Amplitude does …
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 …
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 …
What really stood out was the auto capture functionality and the ability to do as many custom reporting as we can, and it had very comparable features to a lot of other user analytics tools, but we liked how clean it was at pulling in data as well. definitely recommend for …
From a startup perspective, Heap is one of the best and fastest ways to go from 0 analytics to nearly all of what one would need with the least amount of effort. It's faster and easier to implement than many above and it's better suited for quick quantifiable analytics that …
While Heap is more expensive than the free version of Google Analytics, we find that the cost is well worth it for the unlocks it provides to our product management and analytics team to regularly modify tracking and build reporting.
Adobe Analytics is a great tool for tracking website traffic, user behavior, and conversions. It allows you to understand customer journeys and helps evaluate the effectiveness of marketing campaigns. It also measures the performance of A/B tests and how different audiences interact with a website. It doesn't have more advanced analytical capabilities like predictive analytics and machine learning. It also doesn't allow for offline data such as store visits and sales tracking.
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
We've found multiple uses for Adobe Analytics in our organization. Each department analyzes the data they need and creates actionables based off of that data. For E-Commerce, we're constantly using data to analyze user engagement, website performance and evaluate ROI.
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.
Sometimes the processing times are very long. I have had reports or dashboards time out multiple times during presentations. It could be improved. It is understandable since there is a huge data set that the tool is processing before showing anything, however for a company that large they should invest in optimizing processing times.
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 do not ever recall a time when Adobe Analytics was unavailable to me to use in the 8 or so years I have been an end user of the product. My most-used day-to-day analytics tool Parse.ly however, generally has a multiple hours planned offline maintenance every two to four weeks, and sometimes has issues collecting realtime analytics that last anywhere between 15 minutes to an hour, and happen anywhere between 1 to 5 times a month.
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
Again, no issues here. Performance within the day updates hourly. other reports are updated overnight and available to access by the next morning. Pages load quickly, the site navigates easily and the UX is quite straightforward to get command over. On this front, I give Adobe kudos for building a great experience to work within
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.
I barely see any communication from Adobe Analytics. The content on the web is also not that great or easy to read. I would recommend a better communication about the product and the new addons information to come to its user by a better mean.
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.
It was a one-day training several years ago that cost the organization several thousand dollars. There were only about 10 people in the training class. Adobe tried to cram so much information into that one-day class that none of our users felt like they really learned anything helpful from the experience. Follow-up training is too expensive
The online training for Adobe SiteCatalyst consists of short product videos. These are ok, but only go so far. For a while Adobe charged a fee for this, but recently made these available for free. There are many great blog posts that help users learn how to apply the product as well.
One of the benefits and obstacles to successfully using Adobe Analytics is a great / more accurate implementation, make sure your analytics group is intimate with the details of the implementation and that the requirements are driven by the business.
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.
Google Analytics (inc. 360): Target is less intuitive than Google on a number of fronts: layout, naming conventions, default reporting views, but offers more flexible reporting options without having to swap to tools like BigQuery. In a lot of instances, its faster than Google Analytics too which is useful for browsing reporting data. Mixpanel: less flexible than Mixpanel, and less focused on mobile experiences. Less intuitive than Mixpanel's interface.
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.
Adobe Analytics is relatively affordable compared to other tools, given it provides a range of flexible variables to use that I have not found in any other tools so far. It is worth investing in if your company is medium or large-sized and brings a steady flow of revenue. For small companies, it can be overpriced.
My organization uses Adobe Analytics across a multitude of brand portfolios. Each brand has multiple websites, mobile apps and some even have connected TV apps/channels on Roku and similar devices. Adobe can handle the multitude of properties that have simple, small(ish) websites and the larger brand properties that include web, mobile and connected TVs/OTT devices.
Each of those larger brands has multiple categories and channels to keep track of. We can see the data by channel/device or aggregate all the data together. This gives our executive teams the full picture and the departmental teams the view they need to see their own performance.
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.
The professional services team is one of the best teams for complex adobe analytics implementations, especially for clients having multiple website and mobile applications. However, the cost of professional services is a bit high which makes few clients opt out of it, but for large scale implementations they are very helpful
It has helped us know where to focus our optimization efforts, and then analyze those optimization tests in greater detail than we otherwise could. This has decreased cost per lead and increased our marketing efficiency.
It has given us data to understand how pages, sections, and sites perform. This has enabled us to make informed decisions about future releases and changes, or needed adjustments. This has in turn, saved marketing dollars.
