Bound (formerly Get Smart Content) is a website segmentation and targeting platform that enables marketers to read a website visitor's digital body language and serve relevant content based on the person's stage in the buying journey. Using behavioral, demographic, and firmographic data, Bound creates personalized web experiences for both anonymous and known website visitors to increase the effectiveness of marketing efforts and dramatically reduce the buyer's path to conversion. Bound partners…
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Optimizely Web Experimentation
Score 8.7 out of 10
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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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Pricing
Bound
Optimizely Web Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Bound
Optimizely Web Experimentation
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
Optional
Additional Details
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More Pricing Information
Community Pulse
Bound
Optimizely Web Experimentation
Features
Bound
Optimizely Web Experimentation
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Bound
9.7
Ratings
17% above category average
Optimizely Web Experimentation
8.0
Ratings
3% below category average
a/b experiment testing
10.00 Ratings
9.00 Ratings
Split URL testing
9.00 Ratings
8.50 Ratings
Multivariate testing
9.00 Ratings
8.40 Ratings
Multi-page/funnel testing
10.00 Ratings
7.90 Ratings
Cross-browser testing
10.00 Ratings
8.10 Ratings
Mobile app testing
9.00 Ratings
8.00 Ratings
Test significance
10.00 Ratings
8.40 Ratings
Visual / WYSIWYG editor
10.00 Ratings
8.10 Ratings
Advanced code editor
10.00 Ratings
8.00 Ratings
Page surveys
10.00 Ratings
6.20 Ratings
Visitor recordings
9.00 Ratings
8.40 Ratings
Preview mode
10.00 Ratings
7.60 Ratings
Test duration calculator
10.00 Ratings
7.90 Ratings
Experiment scheduler
9.00 Ratings
8.20 Ratings
Experiment workflow and approval
10.00 Ratings
7.80 Ratings
Dynamic experiment activation
9.00 Ratings
7.50 Ratings
Client-side tests
10.00 Ratings
7.80 Ratings
Server-side tests
10.00 Ratings
7.20 Ratings
Mutually exclusive tests
10.00 Ratings
8.10 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Bound
9.8
Ratings
14% above category average
Optimizely Web Experimentation
8.2
Ratings
4% below category average
Standard visitor segmentation
10.00 Ratings
8.40 Ratings
Behavioral visitor segmentation
10.00 Ratings
7.70 Ratings
Traffic allocation control
9.00 Ratings
9.10 Ratings
Website personalization
10.00 Ratings
7.80 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.
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.
There are some additions we would like to see, such as a better experience in the Performance section. It'd be great if we could see an overall view of the metrics instead of having to drill down. We do a monthly KPI report which takes me a while to create due to the back and forth nature of comparing metrics within Get Smart Content. I also have to use Google Analytics to help with this.
We had some issues with the tool not updating Eloqua contacts, but that has since been resolved. The process for discovering the cause of the problem was lengthy and frustrating.
It would be great if you could see metrics of an A/B test within the campaign/rule, instead of having to go to the Performance section and find it. A small snapshot of info would be very helpful and it would allow us to compare and update the rule without leaving that page.
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
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.
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.
Get Smart Content is what we primarily use to serve up segmented content. The only other method or tool we've used to do so while leveraging our Demandbase variables is Optimizely. We selected Get Smart Content because they make the process of segmentation using Demandbase variables easy
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
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.