Whether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.
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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
Optimizely Web Experimentation
Webtrends Optimize
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Optimizely Web Experimentation
Webtrends Optimize
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
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.
More Pricing Information
Community Pulse
Optimizely Web Experimentation
Webtrends Optimize
Considered Both Products
Optimizely Web Experimentation
Verified User
Anonymous
Chose Optimizely Web Experimentation
The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you …
I do not have any issues with AB Tasty. They are great. We went with Optimizely because they have several other products that will work together with our business model. Optimizely has grown and it now offers many other products that work with experimentation like CMS, CMP, ODP …
Optimizely is highly intuitive, allowing marketers or non-technical folks to run experiments without complicated coding. It also allows for various types of experimentation, including A/B tests, multivariate tests, and personalization. This capability will enable teams to run …
None of them have a best in class stats engine and live within an ecosystem of marketing technology products the way that Optimizely does, so the scalability of using any one of those tools is limited as compared to using Optimizely Web Experimentation.
It's a lot more, well, site stacked, it's way better than that. Adobe Target. I think the UI is easier to use on Optimizely. The one thing that I would say comparatively is our analytics talking to each other. Obviously Adobe, we use Adobe Analytics and Adobe Target, so they …
Optimizely is more user-friendly and cost-effective, ideal for experimentation-focused teams, while Adobe Target excels in advanced personalization and seamless integration within the Adobe ecosystem, making it better suited for large enterprises.
Optimizely Web Experimentation was more robust and able to handle the broad array of sites we run than VWO. It has been a great platform to easily add additional sites onto, but still providing a universal overview of all of them, making management a simple task.
we used Optimizely Web Experimentation then AB Tasty but came back to Optimizley because of its robust stat sig and features as well as all of the products we will be able to work in synchronization.
I think that Optimizely Web Experimentation is much easier to implement and use, but the entire Adobe Experience Cloud provides a ton of value if you have multiple products.
Honestly, Optimizely Web Experimentation has its pros and cons just like any other tool. We use Optimizely because we have resources here in the country that can help us when e have issues. The support team being local helps a lot so we don't have long wait times to get things …
There's a LOT of B2B software out there. It's easy to get lost in all of the incoherent noise, between different programs. Webtrends is constantly updating and working with their users to create the best experience possible. I would highly recommend webtrends, and as a second …
Webtrends Optimize is one of the best solutions out there for digital marketers to improve their sales by providing a better experience for their customers' journey. With that said, it is also a costly solution in comparison to other services in the market today. The adage of …
Webtrends, Qubit and Maxymiser were all excellent companies to work with. There's honestly not much between them in my experience. I selected Webtrends based on the quality of their consultants.
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 …
Webtrends Optimize definitely gave me a more comphrensive overview of the product
Verified User
Anonymous
Chose Webtrends Optimize
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
Optimizely Web Experimentation
Webtrends Optimize
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Optimizely Web Experimentation
8.0
Ratings
3% below category average
Webtrends Optimize
8.3
Ratings
1% above category average
a/b experiment testing
9.00 Ratings
9.10 Ratings
Split URL testing
8.50 Ratings
8.20 Ratings
Multivariate testing
8.40 Ratings
8.20 Ratings
Multi-page/funnel testing
7.90 Ratings
8.20 Ratings
Cross-browser testing
8.10 Ratings
8.20 Ratings
Mobile app testing
8.00 Ratings
8.20 Ratings
Test significance
8.40 Ratings
8.20 Ratings
Visual / WYSIWYG editor
8.20 Ratings
8.20 Ratings
Advanced code editor
8.00 Ratings
8.20 Ratings
Page surveys
6.20 Ratings
8.20 Ratings
Visitor recordings
8.40 Ratings
8.20 Ratings
Preview mode
7.60 Ratings
8.20 Ratings
Test duration calculator
7.90 Ratings
8.20 Ratings
Experiment scheduler
8.20 Ratings
8.20 Ratings
Experiment workflow and approval
7.80 Ratings
8.20 Ratings
Dynamic experiment activation
7.50 Ratings
8.20 Ratings
Client-side tests
7.80 Ratings
9.10 Ratings
Server-side tests
7.20 Ratings
8.20 Ratings
Mutually exclusive tests
8.20 Ratings
8.20 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Optimizely Web Experimentation
8.2
Ratings
4% below category average
Webtrends Optimize
8.2
Ratings
4% below category average
Standard visitor segmentation
8.40 Ratings
9.10 Ratings
Behavioral visitor segmentation
7.60 Ratings
8.20 Ratings
Traffic allocation control
9.10 Ratings
7.30 Ratings
Website personalization
7.80 Ratings
8.20 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
I think it can serve the whole spectrum of experiences from people who are just getting used to web experimentation. It's really easy to pick up and use. If you're more experienced then it works well because it just gets out of the way and lets you really focus on the experimentation side of things. So yeah, strongly recommend. I think it is well suited both to small businesses and large enterprises as well. I think it's got a really low barrier to entry. It's very easy to integrate on your website and get results quickly. Likewise, if you are a big business, it's incrementally adoptable, so you can start out with one component of optimizing and you can build there and start to build in things like data CMS to augment experimentation as well. So it's got a really strong a pathway to grow your MarTech platform if you're a small company or a big company.
There are certainly a few things to consider. If you're looking to run A/B/n or Multivariate tests with some basic segmentation or targeting then Webtrends Optimize is capable of providing that. If budget is a major consideration then that is another area where Optimize may be more attractive. However, based on both of these criteria it is my opinion that there are other tools out there that provide more value. For segmentation discovery, identification of user affinities, and execution of an effective targeting and personalization strategy then there are certainly other tools that should be considered.
The Platform contains drag-and-drop editor options for creating variations, which ease the A/B tests process, as it does not require any coding or development resources.
Establishing it is so simple that even a non-technical person can do it perfectly.
It provides real-time results and analytics with robust dashboard access through which you can quickly analyze how different variations perform. With this, your team can easily make data-driven decisions Fastly.
The Webtrends team are excellent at taking the time to understand and learn about our distinct business needs, and recommend suggestions in response.
The Webtrends platform has undergone several changes over the time I was using it. This illustrates the constant thrive to improve their service to users, something I greatly appreciated.
Webtrends Optimize enables the whole process to be simple with its handy instructional guides that can inform clients about using the service.
The results view is dense and difficult to package easily for leadership, and when filtering by segment it's hard to read comparative outcomes without clearing or swapping filters
The organization of experiments and statuses is a cluttered list and the search is limited in use - would love to see that improve with time
There are so many other MarTech products out there, would love to see more dedicated integrations so we don't have to invest in something like Zapier or Tray to build hacky automations
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.
Because it's an incredible and essential tool for my line of work as a conversion optimization specialist. Really couldn't do my job nearly as effectively without it. It's paid for itself many times over and I feel like I'm only beginning to unlock the tools potential.
Optimizely Web Experimentation's visual editor is handy for non-technical or quick iterative testing. When it comes to content changes it's as easy as going into wordpress, clicking around, and then seeing your changes live--what you see is what you get. The preview and approval process for sharing built experiments is also handy for sharing experiments across teams for QA purposes or otherwise.
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 would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
The implementation through the tag management system took a bit of trial and error at first, mostly due to the asynchronous nature of the TMS. We had to manipulate the implementation to assure that the Optimizely code was written to the page at the right time to allow the experiment content load in the browser without showing any of the original content first. We also needed to make some adjustments to the TMS code to get the integration with Site Catalyst timed appropriately.
The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you need to confidently make changes
Webtrends Optimize is one of the best solutions out there for digital marketers to improve their sales by providing a better experience for their customers' journey. With that said, it is also a costly solution in comparison to other services in the market today. The adage of you gets what you pay for is true as they are a market leader in the optimization space.
It's incredibly flexible and adapts well to organizations of all sizes, whether you’re running a single site or managing multiple departments and platforms. The ability to deploy experiments seamlessly across different environments is a huge plus, especially for growing businesses. While it’s highly scalable, the last point would depend on the right team leveraging its full potential.
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.