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 8.2 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
per month
Oracle Service
Score 8.2 out of 10
N/A
Oracle Service is the help desk and customer experience management platform from Oracle. The technology was developed and supported by RightNow Technologies as RightNow CX for cloud-based call center automation, until that company's acquisition by Oracle in 2011 for about $1.5 billion.
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Pricing
Adobe Analytics
Heap
Oracle Service
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
No answers on this topic
Offerings
Pricing Offerings
Adobe Analytics
Heap
Oracle Service
Free Trial
No
Yes
No
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
Yes
Yes
No
Entry-level Setup Fee
Optional
Optional
No setup fee
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.
Well-suited for companies looking from a customer perspective. They can gain a deep understanding of market trends, customer activities, and where third-party integration is expected. Less suitable for small-scale organizations due to the cost of the tool; otherwise, really useful and productive.
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
Oracle Right (Oracle Service Cloud) was an important evolution in the group's ombudsman channel management processes. We brought the Oracle Service Cloud to digitize the processes for capturing and managing the group's ombudsman channel, no longer operating manually (MS Excel).
Oracle Service Cloud (Right Now) brought about an important evolution in the management processes of the group's ombudsman channel, where activities that were performed manually, repetitively and with risk of errors, are now operated by the Right Now platform itself, whether by API, or by automation of the tool.
It summarizes large complex data better than any other analytics solution I've dealt with without the need for sampling, gives the right level of detail, does the right level of breakdowns, aggregation. I consistently not only use Adobe Analytics, but I use other data sets and compare against Adobe Analytics. And as I go into Adobe Analytics and compare, as long as I've done the query right and the other systems, they're very, very close. And if anything, with a lot of Adobe's newer products, they've gotten more accurate over time. So that's basically, you asked me what I liked about it. I like that it's accurate. I like that I don't have to do a lot of explaining. There's enough explaining in the world of web analytics to have to go back and explain why data's problematic. And so like I said, provided that the implementation is correct, it's a very easy conversation. Even if people may not like the answer.
Support. I mentioned this earlier and we don't know what we don't know. Researching the massive amounts of documentation isn't realistic with bandwidth constraints, and our rep getting frustrated with us when we go through what we are seeing is disappointing.
Education. More please, and designed more towards the "business side". I get with the many many many different implementations (every company is different!), that it's tough, but even a basic of the basics would be nice for situations that everyone is looking at, like the engagement with the merchandising on the home page (or any certain page).
Oracle Service Cloud needs a better built in integration with Oracle Social Cloud or it needs to build in more Social network capabilities.
SMS is handle via a third party application but could be built in as part of the product.
The knowledge foundation product needs a better way to handle multiple languages. Currently you have to purchase an additional interface for each language. You can purchase the more expensive Knowledge Advance which does have a better language feature.
The tool work perfect and give us a lot of information with a easy and simpler version. We've been using it during +4 years. It is easier to start and you can create your custom reports. You are able to "drag and drop" the feature you need to measure and give access to that report to specific people inside the corporation and schedule reports. We plan to keep on it as we expand our capabilities
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.
Although RightNow is extremely flexible, the flexibility comes with a price. It is often not intuitive which settings you need to change (and under which menus these setting are buried) to enable the system to do what you want. Also, sometimes the system can do things you need, but you don't initially realize it. When RightNow sells a system to a new customer, I think it should come with X hours of consulting time with a RightNow expert. The customer should be able to consult with this expert over the next year to get advice concerning how to configure the system to achieve desired needs. Often RightNow Support would just answer "no" when I asked if I could do something, but then I would find another way to achieve my goals after talking with other companies using RightNow.
Adobe Analytics has been useful to our company by providing great insight into our business overall demographics, lead conversion, and where are referrals are coming from. The customizing of the reports give us more autonomy over the data we present to our leadership to help them make more knowledgeable decisions.
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.
The learning curve is fairly steep; but for something that has this much capability, it's nearly impossible to make it "easy". The layout and organization are at least reasonably intuitive. The hardest part-- the "weakest link"-- is the portal development (where you can build help centers and other end-user pages.) The capabilities there are significant, but the learning curve for that part is especially steep and it takes a fair amount of expertise to be able to update it.
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.
We use a lot of tabs and fields on our incident workspace, which should slow the system down, but it's still quite fast, and we continue to optimize whatever is possible.
Support for Adobe Analytics is ok, it used to be worse years ago. Now, the technology team at Adobe is way more knowledgeable on the product itself as well as the implementation. They also study your custom implementation and have good knowledge of where your company stands. Dedicated support is something worth considering.
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.
Technicians seem to be assessed based solely on how quickly they close the issues. I've had to reopen requests multiple times because they didn't actually solve my problem. Also, when the issue has even a moderate amount of complexity, the technicians often instruct me to "open another SR" to handle the other issue. I'm the customer, I shouldn't have to follow their processes, they should handle that for me. But even when I create the new SR, it seems like their right hand isn't talking to their left - they aren't reading back to the previous issue for context. So I get bounced around a lot, and I have to tell them how to do their job
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
Most of our training was given while doing user acceptance testing, and getting the system approved by the market. When ever we were in doubt, our implementer helped us along. Later on we started exploring by our selves.
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.
Work with a RightNow expert during the implementation. Explain features that would you like to have. Often, somebody who really knows the system can show you what you need to do to achieve the desired results. Where a RightNow support engineer or a consultant might say "the system can't do that," a RightNow application engineer will listen to what you need, and often come up with an alternate path to achieve it
Google Analytics comes across more of a reporting tool whereas Adobe Analytics is more of an Enterprise level analytics tool. Contentsquare provides some traffic and flow capabilities but not to the same level as Adobe Analytics. However, Contentsquare's major advantage is its Zoning (Heatmapping), Impact Quantification and Find 'n' Fix modules; none of which are knowingly available in Adobe Analytics.
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.
TCS' customers who also selected Oracle Service Cloud over Salesforce Service Cloud and GE's ServiceMax in the Mfg. vertical in which I work, did so because of the robust ability of Oracle Service Cloud and its APIs to integrate with other value-add solutions for manufacturers such as IoT applications, Big Data Analytics, and Field Service applications.
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
Adobe Analytics impacts nearly every aspect of a billion plus dollar revenue eCommerce business. From measuring the impact of new build features to marketing campaigns.
We are saving substantial money and resource effort by consolidating all of our properties to Adobe Analytics from alternative solutions, at which point we will finally be able to report on Total Digital, rather than disparate reports.
We support experimentation on every platform and the performance is only known through Adobe Analytics tagging.
