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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Aiwifi
Score 8.0 out of 10
Enterprise companies (1,001+ employees)
AI based Wifi marketing analytics and loyalty system for businesses of all sizes.
Adobe Analytics is suitable for a large enterprise environment, where the data needs of users is broad and varied. The reporting options here are excellent, as the ability to build custom reports with a view that reflects their specific needs is excellent. Expect confusion over naming conventions, which feel very linked to web reporting in the late 90s/early 00s. For smaller teams or where there is less of a need/capacity to deeply interrogate the data, then Google Analytics is a more intuitive, learnable alternative. Cost is also likely to be a factor when choosing Adobe Analytics - costs can scale steeply.
It will allow you to see the true speed of the connection. In most cases, controlling and managing our WiFi network is one of the most important tasks, we can contact customer service and report possible breakdowns. Also, it has the tool to block any device to prevent it from connecting to the internet.
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.
Adobe analytics provides great customer support with integration with third party apps very easily which makes it a reliable tool for analysing the data along with future forecasting of data using predictive analytics. It provides segment metrics which helps in understanding the data in various segments where we can use different metrics allocation like linear, last touch etc.
Aiwifi is compatible with Android and iOS mobiles and even TVs that have WiFi support, which is the most common in its use, backup copies can be created and accessibility increased, we have maximum availability at all times, its installation process is really simple, we like its effectiveness for Windows 10 and its interface.
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
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.
