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 Ads
Score 8.2 out of 10
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Google Ads (formerly AdWords) is Google's pay-per-click online advertising program. With Google Ads users set their budget and choose where their ads appear in search listings, and on partner websites. Google Ads uses cost-per-click (CPC) bidding.
Adobe analytics was decided on above my pay grade, while I am a user I did not decide to solely use this platform as a company. That being said, I have used other platforms and can see why the complexity of Adobe was chosen over the simplicity of Google Analytics.
Not all the platforms above are a direct competitor to Adobe Analytics, as some of them are advertising platforms and not analytics only. Saying that, I think Adobe Analytics is most probably the best out of them all and this is due to Marin having a slightly "older" look and Go…
Adobe analytics has been selected as a platform to be used across a huge company, which tracks the performance of a hundreds of thousands pages with different type of content. It's believed to be the most accurate tool and the support on the side of the platform has been always …
We also use Google Analytics. I still use Google Analytics for evaluating Google Adwords, but use Adobe Analytics for most of my day to day analysis. We chose Adobe analytics because we were using some other Adobe products that this ties into nicely. We also wanted better ways …
Google Ads
Verified User
Executive
Chose Google Ads
Bing Ads is an indirect competitor to AdWords, which does much of the same as AdWords (with a reduced level of detail) on Bing searches. We mainly used Bing Ads to complement AdWords activity, meaning, if we have saturated the market via Google, we will then use Bing Ads to get …
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.
Clients who are selling products such as dresses, clothes, jewelry, beauty products, etc., generally work well. Also, in some cases, it doesn't fetch a good ROAS for very small business owners. If a client is already doing well in SEO, the probability for it to perform well over Google Ads is always enhanced, and if it doesn't have a good organic reach, Google Ads also suffers.
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.
Keyword Research - Google Ads has a handy built in tool that helps determine important keywords to target both for Ads & SEO
Intuitive Analytics Dashboad - Google Ads makes it fairly simple to see and analyze important metrics on how your ads are running week after week
Intuitive Setup - Google Ads makes it easy to figure out how to run ads with little to no training (although training is highly recommended to run effective ads), as their interface is clean and easy to figure out (unlike competing products).
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.
I think Google Ads is good for getting your company out there and becoming more visible to potential customers in general. However, for specific product launches, social media advertising might be a better fit. Also, our user base is younger so social media is a better channel for our target audience.
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 suspect that Google Ads is not for the novice user. I told my 'Ad Specialist' that I was not the best on computers and apprehensive about my ability to maneuver the website. He told me on more than one occasion that "I work for you...I'm your sherpa...call me any time or send me an email"! The sales and service representatives for Google Ads are very well trained, though not much integrity. Despite that I told my Google Ad Specialist that my website was incomplete the ad was published live anyway! Beware that the 'talk' is good, but it ain't cheap!
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.
We have not yet had an account rep who hasn't tried to bully me or other employees to raise our budgets. At the same time, several years ago, one attempted to help refine our ads and ended up changing the ads to be something we were not affiliated with
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.
Our agency invests heavily in Google Ads (particularly paid search advertising) on behalf of our clients relative to competitors like Microsoft and Yahoo because Google is the top search engine in the world. Google collects the most search data which enables the company to improve its AI to drive better performance for agencies and brands. As such, our paid search and app install campaigns always start with Google. If a client has a large budget, we will allocate media dollars to other search engines, but in some cases, the entire search budget goes to Google because we see the best returns.
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.
Google Ads is often one of our highest ROI channels, especially when you factor in branded ads.
Depending on the stage your business is in, search ads can be really powerful from an ROI perspective, providing an investment with a very high spend cap.
If you do not manage the campaigns well though, you can quickly spend a lot of money on nothing. So make sure someone is keeping an eye on your account.
