Adobe Analytics vs. Google Analytics 360 (discontinued)

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.

Incentivized

I think this is a great platform as long as there is a dedicated team which is going to spend reviewing the data and also taking out insights from it, making it beneficial. It was well suited for me when working with a client that had a very large amount of traffic, with a large range of complex products on offer. This tool allowed us to be able to do more with the data and segmenting it more which ultimately drove our relationship forward, but also the results that we saw

• eVars (love, wish there was more but I heard they are unlimited in AJA)
• Projects. The transition from Reports to Projects was easier for me to navigate than I thought it was going to be.
• Adobe Templates. Again with the love. Nothing helps me more than copying a template and then deconstructing it to see how it works and reconstruct to how I want it to be.

Incentivized

• It is an excellent cloud analytics platform that is easy to install and configure and easy to deploy and use, allowing us to measure web traffic and other tools.
• It is an entirely online tool; it does not take up hard disk space like other desktop tools.
• Since this tool is draggable, Google is constantly adding more features.
• Even beginners who do not have a custom dashboard can get information. If there is a problem somewhere on the site that needs to be investigated, Google Analytics 360 will notify you.

Incentivized

• Our site has about 250,000 definitions pages on dictionary.com. We've got about 150,000 synonym pages across the source.com. So very high volume of pages. As you can imagine, most of these are pretty low traffic. You've got maybe that top 5%, 10% are really driving a huge amount of traffic, but then you have all these really obscure things out there. There's still a lot of important information you can get there and oftentimes in our Adobe Analytics reporting suite, it'll kind of bundle things at low traffic at a pretty low threshold for us to get to. So that can be a limitation when we're trying to do some really detailed keyword analysis. The way we've gotten around that is we make use of the data feed and the export. So we make the data available to our analyst in more of that raw state. So when they really do need to truly get into that weeds data, we don't run into that low traffic limitation.

Incentivized

• As far as I can tell, this is the ultimate large scale analytics platform. It does so much and can be a very powerful tool. Maybe it's overwhelming for newbies, but that's kinda what the pro Google consultations are for.
• Although I've never been personally responsible for paying the GA 360 bills, I know it's very pricey ($150K/year last I checked). If your business is managing a lot of high-traffic sites, and maybe you resell other Google services, then it's probably worth it for the dashboard and integration. So... it's expensive, and by definition, not for everyone.

Incentivized

• New pricing models are very expensive compared to old pricing model, even though it includes several additional tools, most of which seem to be beneficial
• Horrible support experience despite working with escalation teams to try and resolve
• Several bugs in recent releases which remain unresolved for many months at a time

I believe that once Google Analytics Premium releases some additional eCommerce capabilities, it will be the best tool on the market for multi-site customers. Google does an amazing job of fully vetting out new features and functionality before releasing them publicly, so I have found very few issues with the functionality and usability of the tool. Some of the other big players in the industry are too quick to release new features, and they are often riddled with bugs and defects. I know that when I set something up with Google Analytics Premium, I'm getting a reliable, strong product that will deliver what it promises.

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.

Incentivized

Google Analytics Premium has a very easy to use and intuitive User Interface. It's easy to find anything you are looking for and apply different segments to reports on the fly. This is very important especially if you are doing report comparisons. It's also an aesthetically pleasing design, making the general experience pleasant.

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.

Incentivized

Overall, Adobe's servers seem responsive. Like any
large-scale SAS provider, they can have occasional slowdowns where, I
presume, a node is not available and other servers get bogged down with
the user load. I have noticed this with both large and small data sets
and reports.

On that note, Adobe Analytics can take a long time to run reports and pull various data points, depending on the period of time, number of metrics and segments applied. As you create reports, particularly in Workspace, the data are pulled in real-time while you're creating the report. This can often cause issues while trying to drag more metrics into the interface when certain elements of a table are grayed out because data is being pulled in.The more data points and segments involved, the longer it takes to update. When you look at larger windows of time, it takes even longer. If one were to compare to Google Analytics or one of the open source products like Piwik or Motomo, Adobe seems much slower. However, Adobe also supports far more variables than other web analytics products.

Incentivized

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.

• Everyday support is primarily through chat and email with the centralized, general team. Its as you would envision with an anonymous individual attempting to figure from "page one." Often responses are later in the day or next day.
• At first signing, one account person is assigned along with an initial individual to assist in onboarding. There's an interview of the goals with GA360, but the provided deliverable document is limited in the review of one site. Also, after delivery of the onboarding document, you are left with an account individual who is looking for expanded vertical integration with other Google products.

Incentivized

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.

There is a ton of information online about Google Analytics, but Google Analytics Premium users will have dedicated support and training from Google or an Authorized Reseller.

It is a large effort to implement. Throwing a developer with zero experience with Adobe Analytics with no support is a REALLY BAD IDEA!!! Having experienced developers working as a team is crucial to a strong implementation. I say this because I have experienced both scenarios. I was the only developer on an implementation project and I had no experience with Adobe Analytics. As a result I made many architecturally bad decisions which lead to a rigid fragile implementation that eventually was scraped. It took some hard lessons to learn that Adobe Analytics was not as simple as their sales reps make it sound. Using the Adobe Dynamic Tag Manager made sequential implementations incredibly STRONG. Having a DTM to manage the code was a miracle and a life saver!!! If you plan on doing a big enterprise level implementation, please seriously consider using the Adobe Dynamic Tag Manager!!! it made code maintenance super slick and easy which is super important for a developer!!!

If you already have the basic version of GA installed, "getting" GA Premium happens immediately through a virtual flipping of the switch - no need to re-implement. You'll want to expand your use of custom dimensions and metrics (you get 10x the amount with Premium). Ideally, you'll be using a tag management solution to talk with GA Premium, in concert with implementing a dataLayer (to note, Google's Tag Manager platform is covered under the same GA Premium SLA, and it's free). There are some welcomed "configurations" with GA Premium, such as integrating with DoubleClick products, activating data driven attribution models, and building roll-up executive reports - but all of these are easy point and click solutions. In comparison with any other enterprise analytics solution, implementing GA and GA Premium is traditionally easier and more flexible. And if you have any trouble or need an extra set of hands for implementation, GA Certified Partners like LunaMetrics can help

Historically I've looked at a lot of different products. More recently I'd say Mamo and Google Analytics. Those are probably the two big ones that I've seen around, so yeah. It's more feature rich. It provides more dimensions, more breakdowns, and it also scales data better

Incentivized

Since our data is on Bigquery it is very easy for us to connect our database to this platform which is very challenging for us to connect the data integration part to other platforms so this is the primary reason for us to choose this platform. The second reason to choose this is that this platform will solve our problems of multiple departments of product, marketing, business, and analytics rather than choosing separate platforms for different departments

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.

Incentivized

• 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.

Incentivized

• It helps me understand which social media platforms are most successful for me - which I should focus on and which I might want to focus less on.
• I can also see which blog posts people are reading - so I know which topics resonate most. I can write more of those, hopefully gaining more visitors.

Incentivized