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 AdMob
Score 5.7 out of 10
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AdMob is a mobile advertising platform acquired by Google in 2010.
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Yahoo DSP
Score 8.0 out of 10
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Yahoo DSP (formerly the Verizon Media DSP, and formerly Oath) combines the former services and technologies of the companies it comprises including the former Brightroll, One by AOL, Right Media Exchange, and ADTECH, as well as Yahoo!'s own ad tech. The solution currently includes Yahoo's premium content access, Yahoo's identity services and cookieless advertising, and internal machine learning based analytics tools.
Compared to other products out there, I believe Adobe Analytics is a good all around product to give your business greater insight into your web traffic. It has the ability to drill down into multiple domains and compile a comprehensive dashboard. It could improve the ability to analyze bot activity more.
Google AdMob is the best choice in my opinion for any developer or company looking for a reliable way to monetize their app traffic and generate revenue from relevant ads displayed inside their mobile app, and it can be easily integrated into any IOS or Android App.
Customer demographics that are not typical of ours are being served by our marketing efforts. We've seen fast expansion as a result of the exposure Yahoo has given us. Because of the low cost per click, users can see results right away. The more traffic there is, the better.
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).
It's always our business or our agencies. They compel us to look for GA as a simpler tool, so that's why I reduce that one point. We always have that in our mind, but as an enterprise organization, we would like to stick to Adobe.
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 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.
No special reason for choosing Google AdMob. Out point is easy to gain appropriate knowledge from youtube.com and people who work with us. We won't have another similar application so far. However, we feel it works well and makes us happy because of easy function and experience. So I recommend this if we need to apply this for our company activity.
Google Ad Manager is like an angel coming into your organization to save you when you've been battered, beaten, and bruised. The entire UI is a wonderful breath of fresh air. It just "works" where ONE doesn't. The costs, the learning curve, the data organization all outweigh EVERY SINGLE feature of ONE by AOL.
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
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.
Before I got into it my other friends told me there are way better Ad providers. But being a Google fan I still signed up.
Now I remember writing to AdMob, requesting them to give me earning rates... But they never replied. So zero return on investment. They just keep you guessing.
AdTech helps us determine where to steer our audience, and where to project our next campaign.
AdTech helps us view data based on user likes, clicks, and analyze trends among our audience.
What I don't like about AdTech is that it can sometimes put some people out of a job, as it streamlines work to the point that some on payroll may be...well, unnecessary.
