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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Moat Analytics
Score 8.4 out of 10
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Moat Analytics is a cross-channel analytics platform with emphasis on mobile analytics and its mobile heatmap for analyzing web engagement. The product is an independent product offering in the Oracle Data Cloud family of products since Oracle acquired Moat in 2017.
I think adobe analytics is well suited for organizations of all sizes because of its ease of use. It is especially useful when users might not have advanced technical skills to access and work with the available data. It can be a hub or source of truth when multiple teams have to function together since everyone can look at available data the same way.
Moat is well suited to implement into digital placements that are being served through third-party ad servers (Campaign Manager, Flashtalking, etc). It holds your publishers accountable from a viewability standpoint. If you are running high dynamic or site serving placements with 1x1 or click trackers, you aren't able to measure viewability and are at the mercy of publishers providing viewability metrics.
Site Monitoring - it’s incredible for this, trend lines are easy to see and powerful to share
Alerts - automated alerts are simple to set up and are useful on the site to know if there’s a problem
Data Analysis - “should we test this?” “Is this still performing the way we expect it to?” “When did the decline/increase start?” It’s so adept at answering these questions that it’s practically indispensable.
Order/Visit Volume Tracking - slice this as many ways as your data allows: loyalty members, mobile vs desktop, browser type, the possibilities are seemingly endless and there’s almost always gold hidden inside.
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.
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.
Moat gives our team more insight into how campaigns are running. They give a more detailed breakdown per creative whereas other platforms only touch upon the limited or more specific information.
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
The amount of Adobe training available on Experience League and YouTube has been very helpful since it provides much basic knowledge and info about this tool so it's been easy for the new users to learn how to use it easily. Saves a lot of time.
Easy to create alerts which we use to monitor for significant variances from expected values. This alerts consider seasonality and major holidays helps to prevent much time wastage as need be.
It's easy tool we use for data collection and visualization and also reporting.
