Optimizely Feature Experimentation Features

Variation Testing (5)

A/B Testing: Based on 18 Optimizely Feature Experimentation reviews. Test changes to a screen by administering the change to a portion of visitors and measuring conversion.
Conversion Goal: As reported in 18 Optimizely Feature Experimentation reviews. Able to set any user action as the conversion goal of the test.
Percentage of Traffic: Able to adjust both the percentage of total traffic being tested and the proportion of the tested traffic that sees A and that sees B. 18 reviewers of Optimizely Feature Experimentation have provided feedback on this feature.
Confidence Level: Able to view or adjust the necessary confidence level of your test. This feature was mentioned in 17 Optimizely Feature Experimentation reviews.
Multivariant Testing: Based on 18 Optimizely Feature Experimentation reviews. Test multiple changes at once by directing traffic to a random combination of all changes being analyzed.

Standard Targeting: As reported in 17 Optimizely Feature Experimentation reviews. Deploy different versions of app screens based on user demographics, user activity, etc. with out-of-the-box configuration.
Custom Targeting: Based on 17 Optimizely Feature Experimentation reviews. Show different versions based on any variable set up to be tracked on the app's back end.
Data Segmentation: Segment data by various user demographics to find deeper trends within specific user groups. This feature was mentioned in 16 Optimizely Feature Experimentation reviews.

API / Integrations: Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications. 17 reviewers of Optimizely Feature Experimentation have provided feedback on this feature.
QA Testing: As reported in 16 Optimizely Feature Experimentation reviews. Able to test that event and variable setup are reporting data accurately.
Performance and Reliability: Based on 16 Optimizely Feature Experimentation reviews. Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond.
User, Role, and Access Management: As reported in 16 Optimizely Feature Experimentation reviews. Grant access to select data, features, objects, etc. based on the users, user role, groups, etc.

Flag Management: Based on 37 Optimizely Feature Experimentation reviews. Grants users a centralized dashboard for organized feature flag management.
Rollout & Rollback Control: Based on 37 Optimizely Feature Experimentation reviews. Grants users granular control over feature rollouts and rollbacks.
Monitoring: As reported in 36 Optimizely Feature Experimentation reviews. Allows users to track the status of deployed features and application performance via automated alerts.

Multi-Environment Control: As reported in 37 Optimizely Feature Experimentation reviews. Empowers users to smoothly deploy features in a variety of environments.
Feature Testing: Based on 38 Optimizely Feature Experimentation reviews. Allows teams to test features in production for select target groups without deploying.
Low-Code Interface: Based on 37 Optimizely Feature Experimentation reviews. Presents users with a low-code interface to build and maintain feature management systems.

Multivariate testing capacities: Allows for the testing of multiple variables at a time during a single test. 30 reviewers of Optimizely Feature Experimentation have provided feedback on this feature.
Concurrent Testing: Allows multiple experiments to be deployed simultaneously. This feature was mentioned in 29 Optimizely Feature Experimentation reviews.
Mobile Testing: As reported in 29 Optimizely Feature Experimentation reviews. Allows mobile web pages to be tested during A/B experiments.

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting
Decision Making: Makes informed choices based on available data and objectives