Configure flag rules
Run Feature Rollouts in Feature Experimentation
Feature Rollouts are a rule type in Optimizely Feature Experimentation that combine the simplicity of Targeted Deliveries with the measurement power of A/B tests. Use Feature Rollouts to release a single variation to production progressively while you track impressions, conversions, and business metrics.
Manage rules
Optimizely Feature Experimentation Rules contain the experiment and targeting logic within a flag. Rules describe what variation the flag should deliver to a given user.
Flag and rule lifecycle management
Optimizely Feature Experimentation Flag and rule lifecycle management helps clarify the state of your experiments and targeted deliveries in Optimizely Feature Experimentation. Flag management statuses and various UI updates let you manage and track your experiments and targeted deliveries at a glance.
Interactions between flag rules
Optimizely Feature Experimentation Rules contain the experiment and targeting logic within a flag. Rules describe what variation the flag should deliver to a given user.
A/B tests in Feature Experimentation overview
Optimizely Feature Experimentation Optimizely Feature Experimentation gives you the power of traditional A/B tests https //www. optimizely.
Run A/B tests in Feature Experimentation
Optimizely Feature Experimentation If you are new to experimentation, you can get a lot done with a simple ON or OFF A/B test. This configuration has one flag with two variations One "flag on" variation.
Flag delivery (targeted delivery) overview
Optimizely Feature Experimentation Using a feature flag delivery, you can complete the following Deploy a flag to a percentage of your user traffic. Roll the flag back if needed.
Run flag deliveries (targeted delivery)
Optimizely Feature Experimentation A targeted delivery is a type of rule for a flag that lets you Control who sees your flag. Gradually increase or roll out the flag to more users.
Deploy a winning variation
Optimizely Feature Experimentation If you see a winning variation on your Experiment Results page , you may decide to deploy that variation to route incoming traffic to the winner to increase conversions. Instead of relying on developer resources to implement the winner in your source code, you can use Optimizely Feature Experimentation to deploy the winning variation instantly.
Run a beta in Feature Experimentation
Optimizely Feature Experimentation Run a beta by showing a flag to a specific subset of users instead of rolling your flag out to a random percentage of your user base. This topic assumes you have already created a feature flag https //docs.
Run a multi-armed bandit optimization in Feature Experimentation
Optimizely Feature Experimentation You might want to run a test focusing on maximizing conversions from your variations instead of finding the variation most likely to perform consistently better than your baseline. A multi-armed bandit (MAB) optimization https //www.