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 Ad Manager
Score 8.3 out of 10
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Google Ad Manager is a platform for publishers that combines the former DoubleClick for Publishers and DoubleClick Ad Exchange products.
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 …
I have used Google before, but Adobe Analytics has a way more a detailed path for exactly how viewers used your website and better insight on who those users are.
Google Ad Manager is great when you want to review data that is tightly integrated (Google Analytics, Data Studio, and BigQuery); however, businesses typically have multiple advertising channels outside of Google's purview - these don't integrate in the same way. That said, no …
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.
I like that I can see several clients in one place, which can be convenient. However, the UX could be a lot better as outlined previously. In other words, the benefits of combining clients into the Ad Manager don't seem to be much more beneficial than logging into each client's ad account separately
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.
The obvious is the data - Google Ads Manager gives me essential and even critical data about which jobs and industries are hot right now and what is driving the most response.
Google Ad Manager gives us more control over the search engine results page as we get more visibility and real estate on our branded search terms and job/industry-specific search terms.
Google Ad Manager gives us the chance to compete with major national players in job recruitment, Monster, Indeed, LinkedIn, etc.
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).
Support. Not that they don't call or offer help, it's that our account people are bullies. I tell them I don't have time, so I am insulted and told that I need to get in front of the laptop otherwise I have "failed the company." I have never had a situation where I wasn't bullied by our Ad reps. They don't respect or value our time, which can make their calls frustrating.
Too quick on support. They don't take the time to understand the product. We are a preschool which shares a name with a popular motorcycle. An Ad rep insisted he knew the company so well that he could help me within five minutes. After being interrupted frequently, I just let him continue to tell me how I "could increase awareness of our aerodynamic seat design by creating ads with those keywords..."
Better management of trademark keywords and program awareness. We switched over to a new site, the domain changed for about ten seconds. All of our ads were unapproved and put on pause. The email stated it would be fixed very quickly, but I had to go in for the last 3 days to reactivate each one individually.
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.
I think it's useful for our team and we rely on it to improve our business. It is within our budget also. Although we still will need an approval from the upper-level management team, I don't see any problem with that
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.
While most of Google Ad Manager is user-friendly, certain parts of the ad creation process could use some improvements. Specifically, the way you insert keywords can be clunky and time-consuming, and I would like to see better and more keyword suggestions when designing a campaign.
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.
I could say a lot about this topic. As an agency, we get a new [representative] to talk to almost every quarter to go over select accounts and the campaigns within. Most of the time, these [educated representatives], don't provide any new feedback, or I just simply [disagree] with their approach. This is not all the time however. I have learned a lot from a rare few, [individuals] that have given me new strategies and access to betas early on. The other side of support, is the [overseas support platform]. [It] is usually not very helpful, but you can [emphasize] issues and they can research [them]. The Google Tag Implementation team is pristine though. When you need them, you need to set an appointment, which is usually 2 weeks out; they are so over-my-head intelligent, I've never had a bad experience with them and whenever I needed them for a fix, they solved it [within] the first call.
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.
As I've said in prior comments, I like how the Google Ad Manager makes better use of the Google data and results compared to the others. Yes, I've tried them - I used to evaluate software for a former company. They will all do the job I didn't like their usage as much as I preferred the Google information - and I said even that had flaws - so you have to realize that nothing is completely perfect so far.
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.
