Web Experimentation Review
Overall Satisfaction with Optimizely Web Experimentation
We use it to run all of our AB tests. So we run tests that come in from our UX roadmap. Any big feature rollout that they want to test, we test net new features, content serve for holiday. We're doing some badging that's going to be to a hundred percent of users, but we use Optimizely to support those types of things. Promo banners, countdown timers.
Pros
- I really like the results dashboard. I think it's really easy to read, to get results out of and to understand too, even from somebody who isn't in it every day.
Cons
- This is something little, but a developer will go in and change the code for the test and then to make it go live, they have to publish it, but a lot of times they don't publish it. They forget that step. Then they made a change and everybody thought it was fixed, a day goes by and someone's like, "Hey, this never happened." I don't know if it's some alert that's like, "Hey, you made this change publish." It would maybe be something you could do. I know it says that it was changed, it does say something, but for whatever reason that's not enough. I don't know if a popup or something, but that's a problem we run into a lot.
- It increased revenue for the tests that we've implemented. We've definitely made money from tests and then we've also saved money by not just implementing a feature and testing it first.
- The process has gotten a lot faster and smoother.
I think it's nice that it can all just, it's all in one. We have multiple teams using this and setting tests up, so it's beneficial that everything's there and multiple people can go in and use it and change things and do things as they need. It's easy to access and get to. It's nice that it's all in one place for that reason.
It's a lot more, well, site stacked, it's way better than that. Adobe Target. I think the UI is easier to use on Optimizely. The one thing that I would say comparatively is our analytics talking to each other. Obviously Adobe, we use Adobe Analytics and Adobe Target, so they just talked to each other obviously a lot cleaner. Whereas we use Google Analytics now and then Optimizely and sometimes they don't talk to each other as well. But I think in general the UI is cleaner, easier to use, more just user friendly and easier for somebody just to jump into it, I think than Target.
Do you think Optimizely Web Experimentation delivers good value for the price?
Yes
Are you happy with Optimizely Web Experimentation's feature set?
Yes
Did Optimizely Web Experimentation live up to sales and marketing promises?
Yes
Did implementation of Optimizely Web Experimentation go as expected?
Yes
Would you buy Optimizely Web Experimentation again?
Yes


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