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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Google Analytics
Score 8.2 out of 10
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Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
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Oracle Service
Score 8.2 out of 10
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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.
Sr. Marketing Manager of Web Analytics and Personalization
Chose Adobe Analytics
Adobe Analytics far surpasses Google Analytics in the following arenas: journey analysis. Adobe Analytics very clearly portrays user journey data unlike any other web analytics tool.
Verified User
Employee
Chose Adobe Analytics
Adobe Analytics is far better and customizable than the free version of Google Analytics.
I used Google Analytics extensively but Adobe Analytics triumphs. It provides an overall overview which is extremely helpful. Google is a great tool for advertisement and I suggest you not go into that venture to keep your exclusivity. This makes Adobe Analytics amazing and …
Many of our users come from a background of using Google Analytics. They like it, but Adobe Analytics gives them an ability for a more thorough analysis.
Historically I've looked at a lot of different products. More recently I'd say Mamo and Google Analytics. Those are probably the two big ones that I've seen around, so yeah.
It's more feature rich. It provides more dimensions, more breakdowns, and it also scales data better.
Clients usually select Adobe Analytics because it suits them better than the alternatives and they want more customisation than GA4 offers. Also because they might be with Adobe Experience Cloud for a few other things like tag management, A/B testing, audience manager, campaign …
Adobe is more sophisticated and customizable but Google UI is a lot cleaner and nice that it connects with Gmail data so you can see demo of people going to your site/app.
Google Analytics is free! And while Adobe Analytics is arguably more powerful, it's paid. Additionally, Google Analytics' integrations are vastly well known, thoroughly well (and more) documented, and used by more people. That means that it's also easy to find people that are …
Plain and simple - Google Analytics is a free solution with a robust amount of reporting capabilities. It only lacks as it provides a certain amount of reporting points out of the box compared to Adobe Analytics which is more of an enterprise type of reporting solutions. Adobe …
Google Analytics (free version) is typically my go-to recommendation for most companies. Small to medium size businesses, definitely. Larger organizations with need for a complex account structure / hierarchy and the need for highly customized analytics metrics, dimensions, …
We have been using Adobe Analytics for a while but the system seemed to be more complex when compared to super user friendly Google Analytics. Moreover, the option to add custom metrics and dimensions is lacking in Adobe Analytics. Google Analytics is good with transactional …
Adobe Analytics has been in the market for a long time; some people still know it as Omniture or SiteCatalyst. It seems that some great ideas from Google Analytics, such as Enhanced Ecommerce and the new way of measuring events with GA4, are adapted from the traditional Adobe …
Adobe Analytics and Google Analytics 360 are both paid/premium options for website tracking. Though there are certain use cases when these might make sense (you operate entirely in the Adobe suite, you're a massive company/site that doesn’t mind the price tag on Google …
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a …
Ease of use: Google Analytics is known for its user-friendly interface and straightforward setup process, making it accessible for beginners. Adobe Analytics has a steeper learning curve and requires more technical expertise. Features: Adobe Analytics offers a more comprehensive …
Adobe Analytics is good but it is more suited to people who are fully and technically into reporting and the solutions it provides. Google Analytics on the other hand provides a much easier way of setting up the Analytics. Most of the data reporting, charts and visualisations …
Verified User
Account Manager
Chose Google Analytics
Google Analytics is free while Adobe Analytics is really expensive
Google Analytics is for me the default one to implement especially for business starting in analytics. The time (aka cost) of implementation is very low and it provides results in a matter of hours. The integration with the Google ecosystem is also a plus especially when …
Built-in reports are beneficial but you can create custom reports if you need more details with different dimensions and metrics it also provides insights which is just little data about your site traffic in sentence format its the best way to know which strategy you are on …
Google Analytics is a bit cheaper than its competitors and provides a slightly different role as it tracks all channels. It has a close relation to Google and this makes the data a bit more valuable than those programs that are not.
Google Analytics provides everything you need in terms of straight forward analytics needs. The tool is not very flexible compared to other software such as adobe, and if you want to upgrade to premium or add in a bunch of custom situations, that can be become very [tedious] …
[Google Analytics] provides a broader appeal, combining what would usually require several different platforms, and as such is a bit of a jack of all trades in comparison, although often to a "good enough" level. If there is a particular aspect that you then find you would like …
Google Analytics is the industry standard, integrates seamlessly with most site setups, and cannot even be compared on cost. While it falls short in some areas like individual user tracking and cross-device reporting, it provides 80-90% of the needed visibility for online …
Google Analytics is the web's gold standard. We also use StatCounter for redundancy sake and because its visitor tracking and basic reporting are spectacular. But Google is a must-have no matter what else you end up using.
The redundancy issues plays out in terms of data …
Google Analytics stacks up as some of the best among the competition, assuming you're using it for its intended purpose. It's been the easiest to integrate into our applications, as well as the easiest UI to use. We selected Google Analytics for security and budget reasons, but …
Both are great, just different. Most clients believe Google is the golden standard due to the strong presence of Google's brand everywhere, but Adobe seems to have stronger, drill down tracking at the expense of a harder to use interface.
We have been using Google Analytics for over 10 years. Over that time we have periodically reviewed our analytics platforms a number of times. For us, it made more sense to stay with google analytics primarily because if we migrated to another platform we would lose the …
Maybe for a small company with small products for their thing, Adobe may be bit of an implementation too much for them, but when it comes to companies like us, like a life sciences or large enterprises and even small enterprises, but with more products, more analysis that they need to make their marketing experience better, maybe Adobe product is the best suitable.
Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
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.
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.
We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
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.
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.
Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
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.
We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
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
This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
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.
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.
The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
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.
love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
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.
I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
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.
I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
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.
Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
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.