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.