Optimizely Feature Experimentation Review
October 02, 2025

Optimizely Feature Experimentation Review

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Optimizely Feature Experimentation

We use Optimizely Feature Experimentation to solve business problems with conversion funnels and conversion rate optimization. Our implementation is purely server side, so we use it mainly to experiment and then roll out features on the web and app. For us, it helps test ideas and hypotheses before risking it and rolling it out to a hundred percent.

Pros

  • It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.

Cons

  • I think the way metrics and events are set up within each experiment could potentially be better. We've had to come up with a bit of a work around to make it more user-friendly for now, obviously that's a con for now, but with the analytics database engine that should be resolved.
Because it is simple. You set up your experiment, you decide your variations, you add your metrics. Once it's on, as long as your React code and your own code base is set up well, it will work. And that's the key thing, which I think people will like, anyone can go in and use it. That's what we see a benefit of at Zoopla because we have a lot of people using in many ways. So having the versatility in the UI for anyone to use it is been good.
In previous companies I've used Monetate which is a similar A/B testing kind of feature experimentation engine that is very similar from my memory, but again, back to the point of these new features of the analytics engine and Opal, it kind of cuts it above Monetate from my experience. Obviously Monetate may have improved since when I lost use it, but from what I can see, yeah.

Do you think Optimizely Feature Experimentation delivers good value for the price?

Yes

Are you happy with Optimizely Feature Experimentation's feature set?

Yes

Did Optimizely Feature Experimentation live up to sales and marketing promises?

Yes

Did implementation of Optimizely Feature Experimentation go as expected?

Yes

Would you buy Optimizely Feature Experimentation again?

Yes

We use it well on the app because we can roll out features and turn them on and off quite easily because the app or any native app is known for being quite fiddly and making changes can be long and hard. But with Optimizely we can roll out features and change its allocation from 10 to 20 to 30% all remotely, which is a great benefit for us.

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