Accelerating innovation with Optimizely
May 13, 2025

Accelerating innovation with Optimizely

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

Overall Satisfaction with Optimizely Feature Experimentation

I used Optimizely to run A/B experiments on a web platform with a consumers to validate the usage of new features. The business value is that it helps us understand the product/market fit of a feature before we make it permanent for all customers. And with Optimizely we could easily feature flag the experience to groups of users and control when to turn on or turn off the experiment.

Pros

  • Feature flags
  • Audience segmentation
  • SDK enables complex experiments

Cons

  • Reporting of user funnel activity in the tool
  • View only mode for experiment observers
  • App / Web in same experiment
  • Risk reduction (validate a feature before full investment is made in MVP)
  • Confirm market opportunity with a new feature to develop business case
  • Easily and quickly run POCs to limited audiences for qualitative feedback
Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code.
Google Optimize is great that it is an add on to an existing Analytics implementation, but only has a web version. Optimizely has the SDK so better option for testing new features

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

Not sure

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

I believe Optimizely is valuable for two scenarios
1) optimizations of a user experience to find opportunities for quick wins (Web UI) - this is something all A/B tools can do and Optimizely seems to provide all the capabilities needed
2) testing new features before rollout to all audiences of development of a native app experience (SDK) - this is where I think Optimizely shines as this is harder to do with A/B testing tools.

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