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The `Optimizelingly` experience
Updated June 08, 2023

The `Optimizelingly` experience

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

Overall Satisfaction with Optimizely Web Experimentation

We use it more often for AB testing, and based on the metrics and the audience, we decide the winner and implement the variation when needed. Splitting traffic for each experiment also helps us to manage bad user's experience if the variation is not performing accordingly. We make usage of the targeting feature to point internal users to staging environments prior to launch an experiment to prod.
  • A/B testing
  • Experiment editor
  • We should explore more integrations
  • As a dev, at first, I had some difficult to understand the way metrics works and how they are configured
  • I am not sure how it is not, but we had some issues with the documentation for optimizelyOptOut implementation in the past
  • I am not part of the MKT team, so I don't have the numbers, but we use the tool to minimize costs with advertisement
We have multiple departments using the tool for the same site. The development team usually helps MKT team adding complex scripts and using the optimizely API tools, like `optimizely.get('utils')`. The MKT team is responsible for creating the variations, metrics, and gather the results.
As mentioned before, Optimizely helps us to spread the eggs in the right baskets, I mean, based on metric results, the MKT / Acquisition team is able to decide where to invest more effort and money.
I never tried any other product. Optimizely tool was selected by our MKT team and we help them with tech support when necessary
We have multiple website pages and we spend a bunch of money advertise them. Optimizely helps us to define, based on metrics and A/B testing, which pages we should improve UX to guide users to try our product, maximizing our investment.

Optimizely Web Experimentation Feature Ratings

8.0
a/b experiment testing
10
Split URL testing
10
Multivariate testing
10
Multi-page/funnel testing
7
Mobile app testing
5
Test significance
Not Rated
Visual / WYSIWYG editor
10
Advanced code editor
5
Preview mode
10
Test duration calculator
6
Experiment scheduler
7
Client-side tests
10
Mutually exclusive tests
6
10.0
Standard visitor segmentation
10
Behavioral visitor segmentation
10
Traffic allocation control
10
Website personalization
10
10.0
Conversion tracking
10
Goal tracking
10
Test reporting
10
Experiments results dashboard
10
Platform Integration Features ()
Not Rated

Using Optimizely Web Experimentation

3 - Marketing, and development
3 - Marketing team uses the tool to create A/B tests to check conversions and decide among variations created. Development team supports Marketing on more complex JS code for variations and configuration
  • A/B testing
  • Experimentation
  • Not much to add here, we are using standard experimentation for now
  • Marketing team comes up with all the ideas, so I am not the right person to answer this question
It is being an essential tool for the marketing team to increase acquisition

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?

I wasn't involved with the selection/purchase process

Did implementation of Optimizely Web Experimentation go as expected?

Yes

Would you buy Optimizely Web Experimentation again?

Yes