Google offers the Optimize A/B testing tool for testing website content and versions.
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Optimizely Web Experimentation
Score 8.7 out of 10
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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.
Google Optimize is a great entry-level test platform and is an ideal solution for my clients that want something simple to start with and see value. Although not as robust as the paid platforms, it still does the job well and delivers believable data ties to one of the most …
Google Optimize is very similar in a lot of respects. It uses a similar editing tool, it targets pages the same way, etc. But, it is lacking in some other features and the UI is more difficult to navigate. Also if you are using the free version you don't get any assistance like …
We prefer Optimizely for ease of use and more functionality, but it's currently become too expensive for our non-profit organization, and we are switching to Google Optimize going forward.
Optimizely by far wins over Google Optimize. The UI is so much better, easier to use and share. The reporting and overall experimentation flexibility beats Google Optimize hands down.
Google Optimize was great, but our organization already had contracts with Optimizely Web Experimentation for their other tools. unbounce wasn't really an option either mainly because it was only a landing page testing tool and had to use their platform to host the tests. We …
We pivoted to Optimizely Web Experimentation because Google Optimize was sunsetted as a product by Google. Optimizely Web Experimentation has more features available, such as the statistical significance estimator, ability to run more than 5 experiments at a time, and ability …
Google Optimize was used previously and sunset in October. We were looking for a new system that had similar capabilities that was organized and would allow code manipulation as well as ease of use without touching code so more members of our team could seamlessly implement …
The creation and customization of events in our AB testing is an important feature that Google Optimize does not. Because of how we prioritize our Client journey and leading to more form submissions, it's critical that we can identify pivotal moments that influence our User's …
Google Optimize was much less flexible for our program needs and requires Google Analytics for analysis and metrics tracking. Optimizely Web Experimentation lets you build any number of metrics which can be much more complex than standard GA goals. Optimizely Web …
It's slightly more complicated to use, but in my experience, it has more capabilities. Also, Google Optimize was depreciated, so this is definitely the next best platform.
Optimizely has everything in one place. It is also more thorough, letting you do any kind of experimentation. It also has a much better interface that allows you to manipulate the creative/code much more easily.
Analytics are vastly superior, platform UI is by far the easiest to use, and capabilities are best in class. If your organization has any budget for a web experimentation tool, it should be using Optimizely Web Experimentation.
Whilst Optimizely is more expensive (for us at least) we found it was far technically superior and easier to use. We have not run into the technical constraints that we have with other tools. In addition when we went to market to evaluate different suppliers optimizely won …
It is pretty good in comparison. The biggest difference is the metrics dashboard for experiments which gives us granular data related to the experiment being run. I think honestly there is a lot right now my company is probably not utilizing when it comes to optimizely but I do …
We have evaluated Optimize every year against Optimizely. I am a google fan, but their product is not up to the level of Optimizely. They do not offer multi-page tests, and a lot of our changes sometimes span the whole funnel. For that reason alone, it's currently unusable.
It is a little too limited for a full stack experimentation programme. Many times we required development support or tech advise but we were simply unable to get this due to it being google. This was a big problem for us. However it is quite good if you were looking to get started in experimentation and didn’t have the budgets for a wider tool
Optimizely Web Experimentation has a higher sticker price than some of its competitors. While this is true, you're buying an industry leader with tremendous experience in working with clients for years. Initially, with our Conversion Rate Optimization program, we were wow'd and cajoled into trying the hot bleeding edge features that some newer companies might call AI/algorithmic models-- these are otherwise known as Multi-Armed Bandit campaigns, which isn't a new thing. That being said, contracting and fully utilizing Optimizely Web Experimentation's suite of features, professional services, and more may be cost prohibitive for smaller companies. Once a CRO program reaches maturity Optimizely Web Experimentation can scale for larger teams where more advanced can utilize server side tests exclusively for seamless experimentation.
Easy to follow set up procedures. Once I walk a client through the process, it's effortless for them to emulate on subsequent tests.
Lots of geo and user attribute customization features to be able to drill down into specific targeted audiences — all based on the power of Google's immense data system.
Google Optimize is the logical choice for many people to start with since most are already familiar with and using GA.
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.
Usability is mostly great. I like the WYSIWYG functionality and adding in real code is simple as well. It's easy to target specific pages or audiences. I've knocked a couple of points off because of how difficult it is to set up URL redirect experiments, confusion around creating pages, and lack of data that can be further analyzed.
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.
Google Optimize being part of the Google stack makes it great in reporting and analysis. Wish Google would add more features like dynamic tests, multi funnel tests, conversion calculator based on the total number of traffic of the page being tested instead of using the websites total traffic. Should integrate form analysis, heatmap, and page analytics.
Overall, the tools we compared against were great, but we went with Optimizely because it has all the features we needed and has the market leadership that gave us trust we would be successful in our experimentation efforts.
This rating for Optimizely Web Experimentation is rooted in the more complicated builds that are not feasible with just Java and CSS. These require the featured experimentation add on, therefore the base level platform I am giving a lower rating. We have had issues with overly complex test builds, because we can only utilize Java and CSS to make the elements
Customer retention: We've reduced subscription service client churn by 20%+ using optimized unsubscribe flows.
Risk mitigation: Testing into full site redesigns has saved clients millions of dollars.
Feature prioritization: Identifying what painted door changes add value has allowed developers to focus on changes that add hundreds of thousands or even millions to the bottom line.