(32)
4.8 out of 5
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A/B Testing | Test changes to a screen by administering the change to a portion of visitors and measuring conversion. 18 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 82% (Based on 18 reviews) | |
Conversion Goal | Able to set any user action as the conversion goal of the test. This feature was mentioned in 18 Optimizely Feature Experimentation reviews. | 85% (Based on 18 reviews) | |
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. | 74% (Based on 18 reviews) | |
Confidence Level | As reported in 17 Optimizely Feature Experimentation reviews. Able to view or adjust the necessary confidence level of your test. | 85% (Based on 17 reviews) | |
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. | 74% (Based on 18 reviews) |
Segmentation | Break down a population of users by demographics, sequence actions, time, and able to build custom segments. This feature was mentioned in 16 Optimizely Feature Experimentation reviews. | 73% (Based on 16 reviews) | |
Reports and Dashboards | Based on 17 Optimizely Feature Experimentation reviews. Access pre-built and custom reports and dashboards. | 79% (Based on 17 reviews) |
Standard Targeting | Deploy different versions of app screens based on user demographics, user activity, etc. with out-of-the-box configuration. 17 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 76% (Based on 17 reviews) | |
Custom Targeting | Show different versions based on any variable set up to be tracked on the app's back end. This feature was mentioned in 17 Optimizely Feature Experimentation reviews. | 76% (Based on 17 reviews) | |
Data Segmentation | Based on 16 Optimizely Feature Experimentation reviews. Segment data by various user demographics to find deeper trends within specific user groups. | 79% (Based on 16 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. | 75% (Based on 17 reviews) | |
QA Testing | See feature definition | Able to test that event and variable setup are reporting data accurately. 16 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 76% (Based on 16 reviews) |
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. | 85% (Based on 16 reviews) | |
User, Role, and Access Management | Grant access to select data, features, objects, etc. based on the users, user role, groups, etc. 16 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 74% (Based on 16 reviews) |
Flag Management | As reported in 37 Optimizely Feature Experimentation reviews. Grants users a centralized dashboard for organized feature flag management. | 86% (Based on 37 reviews) | |
Rollout & Rollback Control | Grants users granular control over feature rollouts and rollbacks. This feature was mentioned in 37 Optimizely Feature Experimentation reviews. | 85% (Based on 37 reviews) | |
Monitoring | Allows users to track the status of deployed features and application performance via automated alerts. This feature was mentioned in 36 Optimizely Feature Experimentation reviews. | 76% (Based on 36 reviews) |
Multi-Environment Control | Empowers users to smoothly deploy features in a variety of environments. 37 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 86% (Based on 37 reviews) | |
Feature Testing | Allows teams to test features in production for select target groups without deploying. 38 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 88% (Based on 38 reviews) | |
Low-Code Interface | Presents users with a low-code interface to build and maintain feature management systems. 37 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 76% (Based on 37 reviews) |
Reporting and Analytics | As reported in 29 Optimizely Feature Experimentation reviews. Provides reporting and analytics tools to quantify the results of the experiment. | 71% (Based on 29 reviews) |
Multivariate testing capacities | As reported in 30 Optimizely Feature Experimentation reviews. Allows for the testing of multiple variables at a time during a single test. | 77% (Based on 30 reviews) | |
Concurrent Testing | Based on 29 Optimizely Feature Experimentation reviews. Allows multiple experiments to be deployed simultaneously. | 77% (Based on 29 reviews) | |
Mobile Testing | Allows mobile web pages to be tested during A/B experiments. This feature was mentioned in 29 Optimizely Feature Experimentation reviews. | 80% (Based on 29 reviews) |
AI/Machine Learning | Uses algorithms and continuous data entry to enable the technology to develop insights and optimize testing. 27 reviewers of Optimizely Feature Experimentation have provided feedback on this feature. | 65% (Based on 27 reviews) | |
Little to No Coding | Based on 29 Optimizely Feature Experimentation reviews. Requires little to no knowledge of coding. Usually this means it comes with prewritten code. | 76% (Based on 29 reviews) |
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data |
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |