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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Fullstory
Score 9.1 out of 10
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Fullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.
Clients usually select Adobe Analytics because it suits them better than the alternatives and they want more customisation than GA4 offers. Also because they might be with Adobe Experience Cloud for a few other things like tag management, A/B testing, audience manager, campaign …
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.
Many of our users come from a background of using Google Analytics. They like it, but Adobe Analytics gives them an ability for a more thorough analysis.
I used Google Analytics extensively but Adobe Analytics triumphs. It provides an overall overview which is extremely helpful. Google is a great tool for advertisement and I suggest you not go into that venture to keep your exclusivity. This makes Adobe Analytics amazing and …
Adobe is more sophisticated and customizable but Google UI is a lot cleaner and nice that it connects with Gmail data so you can see demo of people going to your site/app.
Adobe Analytics is a comprehensive tool that enables an entire tracking and analysis stack for our company. The other tools listed above more supplement our adobe analytics tool and do not serve as replacements, hence why we continue to use and choose Adobe for our company and …
I think other tools are either too heavy or complicated to implement and / or understand. Full story has a super light weight feel to the system and works magically. I implemented Mixpanel once and the entire team struggled with it before replacing it with Full Story after …
Fullstory is really the best at session recording. They are adding new and more features to become more competitive with other web analytics tools (like Pendo, Heap, and GA). But we ultimately keep them because they make it so easy to actually see how people interact with your …
Microsoft Clarity is not on the list. This one is not even close though. 4 years ago there was not much competition unless you paid a fortune for the big survey companies. I see there are many more out there now, and may start looking now that the prices are not as affordable …
Most of the tools we evaluated just didn't have the depth of analysis that we needed. Content Square looked GREAT but it was a much higher price point.
HotJar is built for marketers, whereas FullStory is for product teams, but the tool still stacks up well against HotJar. It has feature parity and is a little more intuitive to use.
We don't use anything else that is close to what Fullstory does. If anything Intercom would be the closest however we use them together to offer the best support possible.
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.
It was extremely useful in identifying places in our product where things weren't functioning, or where it looked like action was available to the end user but in reality, it was not and therefore caused lots of confusion. It doesn't help as much in other scenarios to see what catches a user's Eye or where they go if they leave our application as well as an actual in-person interview would help with eye-tracking software.
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.
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.
Can be a little confusing to know the exact time something happened, in local time or customer time? That's helpful for engineering to look into log files.
When looking for a specific session, it would be nice if you have a easier list of sessions with a little more info to choose from
It would be nice to be able to save flagged sessions and annotations under my profile to reference later
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
The metrics are hard to understand at times and inaccurate to the point of being unusable. I stopped pulling them and solely rely on Adobe Analytics for them. So far, I've only used FS to watch sessions and determine behaviors
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.
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.
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.
Yes, that is correct. FullStory has a dedicated support team that is available to assist with any issues or questions. The team is known for being responsive, knowledgeable, and helpful, and they are committed to ensuring that users get the most out of the FullStory platform. They helped us a lot to implement it with our web app
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.
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!!!
I was not involved in the initial implementation, but I have found it easy to pick up and use without any guidance, so it's very user-friendly, intuitive, and not difficult to get a sense of use, though it may be more difficult to master (I am not a Fullstory master... yet!).
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
Fullstory is really the best at session recording. They are adding new and more features to become more competitive with other web analytics tools (like Pendo, Heap, and GA). But we ultimately keep them because they make it so easy to actually see how people interact with your site. It is one thing to see a report that says customers fall off a page, it is another thing to actually be able to watch what they do as they fall off.
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.
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.
We reduced our payment error rate by 20% using FullStory.
Our product design team is able to get initial designs approved 95% of the time using FullStory data in order to explain to our stakeholders the reasoning behind decisions. We also do a before-and-after analysis, and we either net out the same with the new designs (just improved visuals) or improve the metric of whatever was designed. More often than not, we improve the metric.
We decreased the time to A/B testing insights by 50%.
We can usually visualize a production issue via FullStory within 10 minutes.
