Optimizing our Brand with Optimizely
Updated November 20, 2024

Optimizing our Brand with Optimizely

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

Overall Satisfaction with Optimizely Web Experimentation

Our company is currently using Optimizely Web Experimentation as a means to replace Google Optimize, performing A/B Testing, and creating a platform for all Marketers to contribute new ideas across our Website. We look towards the specific targeting of events, audiences, and measuring our KPIs with the integration of GA4 and in the future, HubSpot.

Pros

  • Event tracking
  • Measuring and identifying audiences
  • Visual editor to create and make tests
  • Management of different projects/sites

Cons

  • Integration with GA4 (bug identified with our CSM)
  • Integration with HubSpot
  • Shared experimentation across different projects
  • So far, we haven't run too many experiments or utilized Web Experimentation as much as we should be, but of the tests we have run, it has increased conversions across our landing pages, saved time on experiment duplication (especially on duplicate pages)
The separation of the projects allows for management between sites, to whichever those goals would be. However, because we have similar site structures and measurement of KPIs, it would be nice to have the ability to share experimentation, audiences, or event tracking across those sites/projects.
N/A
We see the overall benefit of designing experimentation through advanced personalization, especially when having a streamline of targeted pages that should continue AB testing. Though we haven't implemented this feature quite yet, in addition to analyzing the experimentation, unlocks more levels of testing and collaboration with our teams.
The creation and customization of events in our AB testing is an important feature that Google Optimize does not. Because of how we prioritize our Client journey and leading to more form submissions, it's critical that we can identify pivotal moments that influence our User's decisions.

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

As a means to replacing Google Optimize, the AB testing tool has various tools to address targeted pages, audience groups, event tracking. These are all important to identifying the User journey, and even more so, the measurement of our statistics and goals - all within the contained experiment.

Optimizely Web Experimentation Feature Ratings

10.0
a/b experiment testing
10
Split URL testing
10
Multivariate testing
Not Rated
Multi-page/funnel testing
Not Rated
Cross-browser testing
Not Rated
Mobile app testing
Not Rated
Test significance
10
Visual / WYSIWYG editor
10
Advanced code editor
10
Preview mode
10
Test duration calculator
10
Experiment scheduler
Not Rated
10.0
Standard visitor segmentation
10
Behavioral visitor segmentation
Not Rated
Traffic allocation control
Not Rated
Website personalization
Not Rated
10.0
Form fill analysis
10
Goal tracking
10
Test reporting
Not Rated
Results segmentation
Not Rated
CSV export
Not Rated
Platform Integration Features ()
Not Rated

Using Optimizely Web Experimentation

2 - Our Marketing organization, specifically our Web Development team. We also collaborate extensively with our design and writing team to enable our experimentation.
2 - Web Developer: Making or providing proper design changes to web pages on the website. Additionally providing research, showcasing potential problems or bottlenecks on our website to ultimately get a form submission, and lastly, analysis and review of the potential business impact.
  • Starting and testing A/B experiments to determine the potential impact.
  • Implementation of winning variants
  • drive revenue and business growth
  • Implementation of winning variations within Optimizely
  • After building a proper roadmap of experimentation, continued experimentation
  • Utilizing the Events API to tie revenue back into implemented, winning experiment variants

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