Optimizely Best tool ever
May 08, 2025

Optimizely Best tool ever

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Optimizely Feature Experimentation

We use Optimizely Feature Experimentation to conduct controlled A/B and multivariate experiments across our web and backend platforms. The core business problem it addresses is the need for data-driven decision-making—enabling us to test hypotheses about feature changes, UX optimizations, and algorithmic updates before rolling them out broadly. This helps reduce the risk of deploying underperforming or harmful changes, and accelerates learning cycles across product, design, and engineering teams.

Pros

  • Targeted experiments to specific user cohorts
  • Gradual feature rollouts
  • Backend experimentation to test service-level logic

Cons

  • Provide good web-extension made in-house by Optimizely
  • AI based Optimizely setup where product person can enter the requirement and AI can interpret it to setup feature
  • Increased Velocity and Efficiency
  • Customer-Centric Improvements
  • Reduced Risk of Feature Rollouts
Setting up Feature Experimentation for new person or setting up audiences sometimes not very intuitive.

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?

I wasn't involved with the selection/purchase process

Did implementation of Optimizely Feature Experimentation go as expected?

Yes

Would you buy Optimizely Feature Experimentation again?

Yes

Optimizely is leading the industry with experimentations. All my previous organizations were using Optimizely for feature releases. I would definitely recommend to colleague.

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