Optimizely Feature Experimentation Features

Variation Testing (5)

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

Standard Targeting: Based on 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: As reported in 17 Optimizely Feature Experimentation reviews. 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.
QA Testing: Able to test that event and variable setup are reporting data accurately. 16 reviewers of Optimizely Feature Experimentation have provided feedback on this feature.
Performance and Reliability: Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond. 16 reviewers of Optimizely Feature Experimentation have provided feedback on this feature.
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: Grants users a centralized dashboard for organized feature flag management. This feature was mentioned in 37 Optimizely Feature Experimentation reviews.
Rollout & Rollback Control: Grants users granular control over feature rollouts and rollbacks. This feature was mentioned in 37 Optimizely Feature Experimentation reviews.
Monitoring: Based on 36 Optimizely Feature Experimentation reviews. Allows users to track the status of deployed features and application performance via automated alerts.

Multi-Environment Control: Based on 37 Optimizely Feature Experimentation reviews. Empowers users to smoothly deploy features in a variety of environments.
Feature Testing: As reported in 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: Allows mobile web pages to be tested during A/B experiments. 29 reviewers of Optimizely Feature Experimentation have provided feedback on this feature.

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