Experimenting Engineer
February 20, 2023
Experimenting Engineer
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with Optimizely Web Experimentation
There are two major use-cases.
One is for A/B tests and to see which version performs better versus another. This requires setup on the engineering side and we use multiple techniques to implement our A/B tests.
Two, for hotfixes. Sometimes we can’t deploy a fix immediately and it may be a Friday or a weekend and Optimizely can be used to put up a quick fix and allows us time to deploy at a later time.
- Very easy to make changes visually in their editor
- Allows us to make CSS/JS changes pretty quickly
- Integration with other services to track user behavior and give us stats to make determination of the best path forward.
- UI could use some improvements
- Sometimes I just can’t load the site or see it to make changes on the fly, forces to use CSS/JS
- Sometimes it’s very hard to track what experiments are running in a browser. More tools or extensions would be great.
- A/B tests
- Integrations
- Scheduling
- Increased conversion rates
- Better user experience
- Metric driven approach is possible
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 like how easy it is to setup A/B tests.
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