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…
The Adobe Analytics functions are more responsive and very flexible especially on multiple data analysis and to manage different marketing content is simple. I like Adobe Analytics performance which is cost effective and gathering marketing insights is easy and quick. To import …
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 …
In addition to Adobe Analytics, we also use Google Analytics. But as we've become more well-versed in analysis and reporting, we now understand how they are different tools. Both are needed, and it's important to understand how the data that is generated should be used for …
The IBM tool was that we used, it had some nice things going forward, but they ended up spinning it off to a different company and so it was just one of those things that wasn't really getting the product development. Whereas Adobe Analytics is very obviously continuously …
So compared to Google Analytics, Adobe Analytics is more mature. It gives more insights in terms of implementation and collecting data. Adobe Analytics is more powerful than compared to Google Analytics.
I think Adobe's been around longer as a product but Tealium, from when I did research, it has auto-tagging. So one of my biggest pet peeves is when I'm rolling out new features, and whether it's an app or a website, is that I have to go speak with our metrics team or tagging …
Adobe Analytics is just the easiest to read in my opinion. The drag and drop Lego set functionality of it to me is what makes it so easy to understand and it's easy to teach, too. Because you can just go in and real quickly show like, "all right, you search for things here and …
Adobe Analytics is better because there's just so much more you can do. A lot of those analytics tools, they're very narrow-focused. They're great, but a lot of times it's justextracting the data from those tools and then putting it in Excel and doing your own thing to it. …
I think one of the downsides for Adobe Analytics, when you compare to some of the other tools, is the support. It's not always the best. I think it has to do with the fact that there are so many people who use Adobe Analytics. They have so many clients, so many partners that …
I just know that customization is something that Adobe Analytics is great at. It's like a deep dive into your website. Whereas my understanding of Google Analytics is that it just focuses more on traffic audiences.
They both can achieve in isolation. They both can achieve very, very similar objectives. There's a free version of Google. Many in the industry misconstrue that the free version is a better option than a paid version of Adobe. It's a misnomer because to do it at scale, you …
It helps to understand what channels and devices are users using and what route they are taking to convert. It helps to check the funnels and drop offs at each stage
Adobe can track the page level and click based tracking that helps us to improve our customer journeys and user interface which eventually improves our engagement and conversions too. Adobe needs to come up with more advanced features that over and above the competition. …
Adobe analytics has less flexibility in terms of joining data sources and creating visualizations. It does well at creating custom analytics, but so do the other platforms. Workspace does tend to be better at creating segmentation.
There are several business analytics software and all have different capabilities depending on the requirement. BI software today are a key and the face of the organizations e-commerce business - weather it is mobile or online. Selection of Adobe analytics was a joint decision …
Adobe analytics intuitively feels easier to use than Google Analytics and the functionality that allows us to create unlimited custom segments and derived dimensions is incredibly useful.
Google is Adobe Analytics direct competitor in this space and while I think they do a slightly better job onboarding new users in the space, I have found that Adobe Analytics is more flexible and powerful in the long term.
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 …
Adobe Analytics is better than some other tools as it feels better set up for actual "analysis", rather than simply "reporting". The power of Workspace allows you to drag 'n' drop at ease which makes you are far more in control of your own analysis/discovery/exploration. However, regards the final reports and dashboards' look 'n' feel the Workspace PDF output is lacking visually compared to other products like Google's Looker. To engage with less technical end users sometimes Looker feels the better, more polished option.
They've been really an industry standard tool in analytics for a long, long time. They've got the trusted brand and the reputation, a wonderful community behind it. It is always nice, having that level of support where you can meet other practitioners. It's a great benefit because I can meet other people who have already pushed the tool a lot farther than I have. And it's a great place to get ideas in that way. We came from a world where we were running on a homegrown system that we'd use to do click tracking. You get some advantages on that of the customization, but losing out on community of support was one of the big reasons why we decided to move beyond that and implement Adobe Analytics instead.
Most of the problems that Adobe Analytics as of now is having, it is getting addressed in a newer tool called Web Desk DK from implementation. They are already addressing that issue with the new tool and also the time data with the customer general analytics. So there is something not in workspace analysis and this is what they're addressing in customer general analytics. Which is good.
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.
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.
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.
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
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.
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.
I think Adobe's been around longer as a product but Tealium, from when I did research, it has auto-tagging. So one of my biggest pet peeves is when I'm rolling out new features, and whether it's an app or a website, is that I have to go speak with our metrics team or tagging team and we have to come up with these different strategies. Okay, how are we gonna tag it? What are we going to name it? It just seems like a lot of wasted time in my opinion. I want to track everything. I want to know every single thing these people are doing. We shouldn't have to have this conversation if we tag this, you might not have time to tag this right away for MVP. It's like that to me right now. That shouldn't even be a conversation. I should be able to release a feature, I should be able to just automatically go pull reports on that. And just figure out exactly what they were doing.
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 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
I like to think it's positive. It's a very steep learning curve, so we do face a lot of challenges with adoption inside of the companies. My team and I evangelize this and also who's in charge of data and advanced analytics, but it's very hard to leverage that with typical business analysis people. These are people who live their life in Excel and SQL and Power BI. They just use this very occasionally and by only looking at that sort of aggregate data, they miss out on behavior and what actually happens in execution. And because it's such a steep learning curve, we do have a challenge pushing it in there.
