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.
N/A
Wynter
Score 8.8 out of 10
N/A
An on-demand market research platform for B2B. Wynter describes what category buyers think, need, and want, with the goal of providing insights at a fraction of the speed of traditional market research. • Market and brand research surveys • Target persona (ICP) research • Message testing Services are supplied on-demand, offered through a self-serve platform, with results delivered in under 48 hours.
$10,000
per year
Pricing
Optimizely Web Experimentation
Wynter
Editions & Modules
No answers on this topic
Lite
$10,000
per year
Pro
$19,000
per year
Elite
$59,000
per year
Offerings
Pricing Offerings
Optimizely Web Experimentation
Wynter
Free Trial
Yes
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Optimizely Web Experimentation
Wynter
Features
Optimizely Web Experimentation
Wynter
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
Wynter
-
Ratings
a/b experiment testing
9.00 Ratings
00 Ratings
Split URL testing
8.50 Ratings
00 Ratings
Multivariate testing
8.40 Ratings
00 Ratings
Multi-page/funnel testing
7.90 Ratings
00 Ratings
Cross-browser testing
8.10 Ratings
00 Ratings
Mobile app testing
8.00 Ratings
00 Ratings
Test significance
8.40 Ratings
00 Ratings
Visual / WYSIWYG editor
8.10 Ratings
00 Ratings
Advanced code editor
8.00 Ratings
00 Ratings
Page surveys
6.20 Ratings
00 Ratings
Visitor recordings
8.40 Ratings
00 Ratings
Preview mode
7.60 Ratings
00 Ratings
Test duration calculator
7.90 Ratings
00 Ratings
Experiment scheduler
8.20 Ratings
00 Ratings
Experiment workflow and approval
7.80 Ratings
00 Ratings
Dynamic experiment activation
7.50 Ratings
00 Ratings
Client-side tests
7.80 Ratings
00 Ratings
Server-side tests
7.20 Ratings
00 Ratings
Mutually exclusive tests
8.20 Ratings
00 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
Wynter
-
Ratings
Standard visitor segmentation
8.40 Ratings
00 Ratings
Behavioral visitor segmentation
7.70 Ratings
00 Ratings
Traffic allocation control
9.10 Ratings
00 Ratings
Website personalization
7.80 Ratings
00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Optimizely Web Experimentation
8.3
Ratings
1% below category average
Wynter
-
Ratings
Heatmap tool
9.30 Ratings
00 Ratings
Click analytics
8.80 Ratings
00 Ratings
Scroll maps
8.50 Ratings
00 Ratings
Form fill analysis
8.00 Ratings
00 Ratings
Conversion tracking
8.70 Ratings
00 Ratings
Goal tracking
8.20 Ratings
00 Ratings
Test reporting
7.90 Ratings
00 Ratings
Results segmentation
7.70 Ratings
00 Ratings
CSV export
7.90 Ratings
00 Ratings
Experiments results dashboard
8.00 Ratings
00 Ratings
Financial Research
Comparison of Financial Research features of Product A and Product B
Optimizely Web Experimentation
-
Ratings
Wynter
9.1
Ratings
9% above category average
Industry-Specific Information
00 Ratings
9.10 Ratings
Independent Research Access
00 Ratings
9.10 Ratings
Market Research
Comparison of Market Research 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.
Wynter is ideal when you are doing "high-pressure" message testing where live traffic with A/B audiences isn't effective. Similarly, it's a great way to gather prospective customer data when you don't have access to a customer base for your questions or the cost of sourcing them yourself would be too high.
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 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.
Every customer support professional I have interacted with at Wynter is helpful, responsive, and well-informed on the product and where they can help. They go above and beyond!
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
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.