Optimizely Web Experimentation empowers teams to conduct experiments (without having to rely on developer resources) in order to test various user interactions, make website changes backed by data, and personalize customer experiences.
N/A
Wyng
Score 8.7 out of 10
Enterprise companies (1,001+ employees)
Wyng is used to build interactive digital experiences that engage customers at the right moments, collect their preferences and other zero-party data, and personalize their website experiences in real time. Whether the experience is a product finder quiz, promotion, or preference center, Wyng experiences are designed to be well-timed and user-friendly while offering genuine value to consumers.
Optimizely Web Experimentation is well-suited for scenarios where data-driven decisions are required to optimize website performance and conversions. For instance, A/B testing various website elements such as headlines, call-to-action buttons, and form designs, among others, can provide valuable insights into what resonates best with our audience. Personalizing website content based on visitor behavior, such as geographic location or past interactions, is another scenario where Optimizely shines. On the other hand, Optimizely may not be as appropriate for websites with low traffic volumes, as it may take longer to gather enough data to make confident decisions. Additionally, it may not be suitable for testing complex website functionalities that require extensive development work, such as a complete website redesign or adding new features. In such cases, other tools or approaches may be more appropriate, such as usability testing or user research to understand user needs and preferences.
They have a variety of offerings so the best approach is to have a clear idea of what type of results you're looking to achieve. They can offer advice on which modules will help you achieve those goals.
Actual creation of an A/B test is confusing and difficult (like the differences between Pages vs URLs etc.).
Setting up a URL Redirect Experiment is so convoluted it seems like it's not even a feature Optimizely wants you to use. Instead, it's like I'm tricking Optimizely into alternating between 2 URLs. That really needs to be cleaned up as it would be very helpful.
My role is mostly involved with social media analytics; measuring campaigns. Offerpop could improve in how they track views. I would like to see the number of views and unique views captured each day versus just the total number of views since the start of the campaign.
For our Facebook sign up campaigns, I would like to see more reporting on the information captured in the form fields. For example: the total number of entries, unique entries, bounce rate (how many people viewed the form but didn't complete/submit it).
In addition, I would like to see reporting on how some of our questions within the lead form were answered. The number of entrants who selected various options from our drop down lists.
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.
I dont get a lot of great feedback from our social media department. I dont think the issues and concerns where addressed in detail before signing up and before launch
Without a doubt, after 8 years using various different testing tools, Optimizely is by far the easiest to use. Feedback from developers and more technical teams has always been positive, mostly due to the code editor allowing for easy implementation along with the creation of advanced audience segments using advanced javascript. For business users and non-technical people, the wysiwig editor allows for smaller changes to be made quickly whilst somewhat educating the user on the types of code changes that are being made.
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).
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
Optimizely Web Experimentation and Adobe Target are both powerful tools for website optimization and experimentation, but they differ in some key ways. Here's a comparison of some of the most important features of each platform:A/B testing: Both Optimizely and Adobe Target offer A/B testing functionality, allowing users to test different variations of web pages and other digital experiences against each other to determine which performs better.Personalization: Both platforms also offer personalization capabilities, allowing users to create customized experiences for different segments of their audience. However, Optimizely's personalization features are often considered more user-friendly and easier to implement.Analytics and reporting: Both platforms offer robust analytics and reporting features to help users track the performance of their experiments and make data-driven decisions. However, Optimizely's reporting is often considered more intuitive and user-friendly.
While Rafflecopter was free to use, I didn't like the bulky box that sat in the middle of our web pages. Wildfire rates were just too high to justify continuing to use them, especially as OfferPop interface was so simple and streamlined
Optimizely offers excellent testing features and incredible technical support and training resources enabling non-technical teams most benefited by experimentation to truly own this function. Optimizely is easy to implement and use, has simple integration with other technologies making it a staple in our marketing technology stack. Finally, Optimizely continues to innovate around its core technology to add new features and capabilities to improve the overall experimentation process (such as acquiring Experimentation Engine in 2018). In a dynamic and ever-changing marketing technology landscape expect to continue using Optimizely in my marketing technology stack for many years to come.
Optimizely is only worth the money if you have a decent amount of traffic and some manpower dedicated to testing. If your organization doesn't have the resources to iterate on tests, you probably won't achieve full value from this tool.
Because the tool is expensive, I feel that large organizations with massive advertising and/or social footprints would benefit the best from Optimizely.
Optimizely can allow gradual rollouts of new features with advanced analytics, giving key stakeholders visibility into client traction with new content rollout.
