Item: Optimizely Web Experimentation
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

All new feature development is released as a test within the optimizely platform to validate and measure ROI. The stats engine allows a variety of business users to run tests without needing analytics support to discover stat sig results.

Pros and Cons

Sever side integration is robust
Stats engine gives easy steer during test

Session level metrics not available
Integrating third party data sources challenging

Return on Investment

Validated roadmap
Measured experimentation roi
Deprioritised losing ideas

Scalability

Allows diverse business areas to run experiments at pace

Optimizely Platform Scope

N/A

Alternatives Considered

Google Optimize

Less development required once the tool is fully implemented and easier to scale

Other Software Used

Google Analytics, Adjust by AppLovin, data.ai

Likelihood to Recommend

Opening the testing program to large portion of the business as the more technical/specialised steps of experimentation are built in to the tool, allow a wider testing roadmap.

Experimentation Tool

Overall Satisfaction with Optimizely Web Experimentation