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.
> Adobe's pretty cool for its recomentation / AI / ML engine > VWO's wysiwyg is pretty solid and the heatmapping is nice > abtasty's consent features are pretty cool to launch patch and AB Test Consent Rate > Monetate & Dynamic Yield's pre-built personalization features help …
Feature experimentation had some extra benefits, specially with segmentation, but pricing was prohibited. So we sticked with Optimizely Web Experimentation.
Optimizely Web Experimentation is perfect for medium or advance use but not for basic use. For basic use or new users VWO would be a better fit, or for users who would do a test once per month with low traffic. Optimizely is more for users or companies who use cro or do …
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.
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.
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.
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.
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 …
unbounce's Visual Editor is what I'd expect out of Optimizely Web Experimentation, but I believe it's missing. Otherwise, Optimizely Web Experimentation is better.
We use AEM so Adobe Target would be a natural choice, it integrates naturally with the Experience Fragments and all the content we already hold there. However - with extensions - we've been able to unlock a similar workflow to be able to seamlessly test. Optimizely has the …
We wanted one tool, that was easy for marketers and developers to use and would allow us to remain organized. Neither Of the other products allowed for this as seamlessly as Optimizely.
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 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 …
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 …