Measure and analyze results
Optimizely Personalization Campaign Results page
The Campaign Results page lets you track campaign performance, examine different experiences and audiences for a detailed view of visitor behavior, and take action. A session starts when a visitor lands on your site and ends after 30 minutes of inactivity.
Segment your results
Optimizely Web Experimentation Optimizely Personalization By default, Optimizely Web Experimentation and Optimizely Personalization show results for all visitors who enter your experiment. However, not all visitors behave like your average visitors.
Reference for columns in CSV export files for campaigns and experiments
Optimizely Web Experimentation Optimizely Personalization You can export your campaign and experiment results as a CSV file using the Optimizely REST API and through the web app for Optimizely Web Experimentation and Optimizely Personalization. The following columns display in CSV export files in the order listed.
Iterate on campaigns and share results in Optimizely Personalization
Optimizely Personalization campaigns deliver tailored experiences to different segments of visitors. There is no natural breakpoint to take additional action, such as when an experiment reaches statistical significance.
Data freshness
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) Data freshness is the time it takes Optimizely Experimentation to collect, process, and deliver data via the Results page or API. Because data freshness is critical, Optimizely Experimentation has a fast results pipeline that helps you make validated decisions at scale.
Contextual Bandit Results page
The Contextual Bandit Results page lets you track your contextual bandits # ' performance, view different experiences and audiences to examine visitor behavior, and take action. Contextual bandits score variations based on the impact on the primary metric and user attributes to serve the most personalized variation to every user.