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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Webtrends Optimize
Score 9.7 out of 10
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Webtrends Optimize is a web optimization platform and is offered by the company of the same name. The product competes most often with Adobe Test and Target, Maxymiser, SiteSpect, and Optimizely.
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Pricing
Adobe Analytics
Webtrends Optimize
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Adobe Analytics
Webtrends Optimize
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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There is no tiering and no different prices for different tools. The entire feature set is available to all users as standard at one price, agreed up front.
I personally feel Adobe currently has the best offering, closely followed by Google Analytics.
Both have pros and cons but I feel Adobe has a little bit more in terms of custom dimensions and workspace that really help it shine; however, I feel Google Analytics is better when it …
Omniture: extreme feature set and integration with business intelligence and other systems. The problem was price. I was never able to convince management that the price tag was justified.
Features
Adobe Analytics
Webtrends Optimize
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Adobe Analytics
8.0
72 Ratings
1% below category average
Webtrends Optimize
-
Ratings
Lead Conversion Tracking
7.666 Ratings
00 Ratings
Bounce Rate Measurement
7.769 Ratings
00 Ratings
Device and Browser Reporting
8.470 Ratings
00 Ratings
Pageview Tracking
8.769 Ratings
00 Ratings
Event Tracking
8.569 Ratings
00 Ratings
Reporting in real-time
6.868 Ratings
00 Ratings
Referral Source Tracking
8.068 Ratings
00 Ratings
Customizable Dashboards
8.468 Ratings
00 Ratings
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Adobe Analytics
-
Ratings
Webtrends Optimize
8.3
1 Ratings
1% below category average
a/b experiment testing
00 Ratings
9.11 Ratings
Split URL testing
00 Ratings
8.21 Ratings
Multivariate testing
00 Ratings
8.21 Ratings
Multi-page/funnel testing
00 Ratings
8.21 Ratings
Cross-browser testing
00 Ratings
8.21 Ratings
Mobile app testing
00 Ratings
8.21 Ratings
Test significance
00 Ratings
8.21 Ratings
Visual / WYSIWYG editor
00 Ratings
8.21 Ratings
Advanced code editor
00 Ratings
8.21 Ratings
Page surveys
00 Ratings
8.21 Ratings
Visitor recordings
00 Ratings
8.21 Ratings
Preview mode
00 Ratings
8.21 Ratings
Test duration calculator
00 Ratings
8.21 Ratings
Experiment scheduler
00 Ratings
8.21 Ratings
Experiment workflow and approval
00 Ratings
8.21 Ratings
Dynamic experiment activation
00 Ratings
8.21 Ratings
Client-side tests
00 Ratings
9.11 Ratings
Server-side tests
00 Ratings
8.21 Ratings
Mutually exclusive tests
00 Ratings
8.21 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Adobe Analytics
-
Ratings
Webtrends Optimize
8.2
1 Ratings
7% below category average
Standard visitor segmentation
00 Ratings
9.11 Ratings
Behavioral visitor segmentation
00 Ratings
8.21 Ratings
Traffic allocation control
00 Ratings
7.31 Ratings
Website personalization
00 Ratings
8.21 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
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.
Webtrends optimize is a marketing solution aimed squarely at transactional and eCom based websites. I would only recommend a colleague to engage with the solution once the marketing dept is at a point where their website is fully optimized in regards to SEO and all the other fundamentals in order to truly build upon what Webtrends can offer. This shows you an easier way of measuring your ROI and the money you will invest with the tool-moving forward.
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.
Intuitive test set-up makes for a low learning curve.
Ability to create custom data tables which enable exporting of visitor level data for more in-depth analysis outside of the Webtrends Optimize platform.
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).
The cost is a factor. When you're trying to save money, particularly as a startup (a lot of our clients are up-and-comers) it has to be seen as an investment...but the cost to implement the system is fairly large.
There's a bit of a steep learning curve, you can't just dive into the program.
It's not impossible but it's not as easy as snapping your fingers to easily implement the program cross-platform.
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.
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.
Set up of basic tests that do not use segmentation or targeting is an intuitive experience that can be learned quickly by new users. However, as the need for segmentation and other more advanced capabilities arise, the experience begins to degrade.
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.
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.
Webtrends Optimize can be used for much more complex tests, allows better conversion tracking and data collection. Visual Website Optimizer (VWO) is suitable for smaller, simple projects. Webtrends Optimize comes with an excellent consultancy that could save you a lot of time and resources
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.
So far we haven't seen an ROI that we can accurately measure due to only running a couple of tests that haven't resulted in direct, site wide changes. However, we have learnt a lot about how to set up the right processes and documentation.