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…
N/A
Parse.ly
Score 8.8 out of 10
N/A
Parse.ly is a content optimization platform for online publishers. It provides in-depth analytics and helps maximize the performance of the digital content. It features a dashboard geared for editorial and business staff and an API that can be used by a product team to create personalized or contextual experiences on a website.
Versus the other two analytics tools used by my organization, Adobe Analytics provides more in-depth and "fine-tunable" analytics. It is used as the official source of data when conducting reports for company data. Adobe Analytics is also the official tool used in my …
Adobe Analytics is our organization's "official" data source and provides a much more in-depth feature set and customizable reporting tool. It's much less user-friendly than Parse.ly but can provide more detailed reporting. Google Analytics is used by my organization as a …
Parse.ly seems to be more user-friendly than Adobe and is on the same user-friendly level as Chartbeat. Chartbeat had features that I would love to see integrated into Parse.ly like an overlay feature that showed where website users were dropping from that page. Chartbeat also …
Parsely has the best UI, best reports, best real-time data, and the best historical data that I've used. I'd never go back to any of the tools I've used before.
As GA and AA are more general purpose digital analytics tools, they can be configured to do any type of web analytics tracking. However, Parse.ly is custom-made for editorial teams and newsrooms. Parse.ly is far more intuitive and easy to use. It's a fantastic tool for …
Verified User
Program Manager
Chose Parse.ly
It's not as powerful or reliable as Google Analytics (e.g. it's missing demographic data, and doesn't integrate with Google Search Console or AdWords), but it meets most of the basic requirements that we need. It's a difference user experience in general, and slightly more …
I think adobe analytics is well suited for organizations of all sizes because of its ease of use. It is especially useful when users might not have advanced technical skills to access and work with the available data. It can be a hub or source of truth when multiple teams have to function together since everyone can look at available data the same way.
Parse.ly is a great tool for publishers who want to track engagement and audience behaviour across websites. With Parse.ly, we can easily track metrics like pageviews, time spent on page, and scroll depth to see which content is resonating with our audience and optimize our content strategy accordingly. Our marketers found Parse.ly to be an excellent tool for tracking the effectiveness of our campaigns. We can use Parse.ly to track metrics like referral sources, conversion rates, and engagement by audience segment to see which channels and tactics are driving the most engagement and conversions.
Site Monitoring - it’s incredible for this, trend lines are easy to see and powerful to share
Alerts - automated alerts are simple to set up and are useful on the site to know if there’s a problem
Data Analysis - “should we test this?” “Is this still performing the way we expect it to?” “When did the decline/increase start?” It’s so adept at answering these questions that it’s practically indispensable.
Order/Visit Volume Tracking - slice this as many ways as your data allows: loyalty members, mobile vs desktop, browser type, the possibilities are seemingly endless and there’s almost always gold hidden inside.
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.
As an employee, this is difficult for me to comment as I am not directly funding or making these business decisions. However, it is a tool many get on with for surface level data that is useful to editorial teams.
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.
The Parse.ly platform is very user-friendly and easy to use. User management is simple, and reporting setup only takes a few minutes. They provide very helpful documentation for implementing the scripts on your site and have great customer support to help with custom development such as implementing their content recommendation engine.
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 rate this question this way solely because I haven't requested any support. I feel where I will eventually get support would be when we take Parse.ly up on some training that is being offered. We are looking to do that at some point after the first of the year and when our schedules support it.
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 (inc. 360): Target is less intuitive than Google on a number of fronts: layout, naming conventions, default reporting views, but offers more flexible reporting options without having to swap to tools like BigQuery. In a lot of instances, its faster than Google Analytics too which is useful for browsing reporting data. Mixpanel: less flexible than Mixpanel, and less focused on mobile experiences. Less intuitive than Mixpanel's interface.
Parse.ly does pretty well compared to Chartbeat, particularly when it comes to historical information and analysis options that are easy for employees to use after some short training. The onboarding for Parse.ly is intuitive, and the scheduled reports take away basically all of the inconvenience associated with regular metrics reviewing. But Chartbeat wins in its social audience tracking because it can source traffic to a specific social post, which can show you exactly how your audience is coming to your content and where you need to put your content to be sure you get that audience.
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
The amount of Adobe training available on Experience League and YouTube has been very helpful since it provides much basic knowledge and info about this tool so it's been easy for the new users to learn how to use it easily. Saves a lot of time.
Easy to create alerts which we use to monitor for significant variances from expected values. This alerts consider seasonality and major holidays helps to prevent much time wastage as need be.
It's easy tool we use for data collection and visualization and also reporting.
Sometimes in meetings our editorial director will point out stories that didn't perform well. To us, that means readers don't really care about the topic, so we'll pivot away from writing about that in the future. That might not be "business objectives" though.
