Front End Developer's Perspective
June 26, 2019

Front End Developer's Perspective

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

Overall Satisfaction with Optimizely

It is being used by a small team within a department primarily for A/B testing. For example, to promote user registration, we might want to test out a new feature which could be anything from a new design for the registration section or a mini-standalone application. Before rolling it out en masse, we would test this out in a limited scope to compare relative registration levels.

Pros

  • Can target a feature to a specific audience like desktop Chrome users only.
  • Can do multiple layers of A/B testing.
  • Can roll out a new design test in a matter of hours.

Cons

  • The webapp itself is sometimes slow to load.
  • The code change difference is one giant string, would be easier if formatted for readability.
  • Definitely money saved from not doing a full-on implementation on some feature that turns out is not an improvement.
  • Turnaround development time is quicker too than if we were to roll it out.
UI is great and we can run a seemingly unlimited number of experiments.
UI is great. I primarily use the web interface as opposed to the app. It's a bit slow sometimes to load but works fine.
As a developer, I just implement what I'm told. I can't speak specifically to how it works from a stats perspective but certainly, the manager who runs these experiments sees a lot of value in executing them. By doing it all on one platform, we are able to turn around quickly and make decisions moving forward quicker.
In some ways, when we did a demo with other products, some things were built in like scroll tracking. But in many ways, Optimizely just was easier to use.
It is just a good quick tool for doing a lot of simple A/B tests. It can scale to more complicated experiments and the metrics can also get sophisticated. From a developer's perspective, it is very straightforward for me to use. I am a lot less certain about the statistical significance area when the results are actually being interpreted but from a developer's perspective, it's just easy to use.

Optimizely Web Experimentation Feature Ratings

10.0
a/b experiment testing
10
Split URL testing
10
Multivariate testing
10
Multi-page/funnel testing
10
Cross-browser testing
10
Mobile app testing
Not Rated
Test significance
Not Rated
Visual / WYSIWYG editor
10
Advanced code editor
10
Page surveys
Not Rated
Visitor recordings
Not Rated
Preview mode
10
Test duration calculator
Not Rated
Experiment scheduler
Not Rated
Experiment workflow and approval
Not Rated
Dynamic experiment activation
10
Client-side tests
10
Server-side tests
Not Rated
Mutually exclusive tests
10
10.0
Standard visitor segmentation
10
Behavioral visitor segmentation
10
Traffic allocation control
10
Website personalization
Not Rated
10.0
Heatmap tool
Not Rated
Click analytics
10
Scroll maps
Not Rated
Form fill analysis
Not Rated
Conversion tracking
Not Rated
Goal tracking
10
Test reporting
10
Results segmentation
Not Rated
CSV export
Not Rated
Experiments results dashboard
10
Platform Integration Features ()
Not Rated

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