4. Use the rollout planner

The Rollout planner consists of several blocks. A. A header in the top left indicating the name of the flag, the associated sitecode (you can copy and paste it directly from here) and the feature key. Click the name to edit the flag’s details. B. A Setup menu to create and manage your feature variables […]

What are Rollout Rules?  You can leverage the Rollout Planner to be as selective and precise with your releases and tests as you want. Anything that is inside of a feature flag can be toggled on whenever you choose and for whoever you choose. Rollout rules are a sequence of actions that can be scheduled […]

Targeted Delivery is the simplest way to turn on a feature variation for some or all of your audience. You can use multiple Targeted Delivery rules to implement advanced rollout strategies that suit your needs. Use Targeted Delivery rules to gain rollout flexibility based on user attributes such as geographical region, demographical data, operating system […]

Progressive (or gradual) rollouts let you spread big or critical feature releases over a period of time by gradually rolling it out to an increasing audience over a period of time. You can customize the feature variation you want to roll out, the audience you want to target, as well as the interval and increment […]

With Experiments, you can create several variations of your features and test them using the Experiment rule to determine which one yields the best metrics or delivers the best UX. You can use variations and experiments together to quickly and continuously test and optimize your features.  To create a feature experiment, add a new rule […]

You can leverage the potential of Multi-Armed Bandit (MAB) optimizations in Kameleoon to achieve quick wins while maintaining significant lifts in performance. This article will discuss the implications and use cases of MAB algorithms for you to better determine when to choose MAB optimizations for your feature experimentation. Once you’ve set up your experiment (or […]

This feature allows you to manually redistribute traffic of your user segment towards the chosen variation(s) for any active rule. By reshuffling, you initiate a complete rebucketing process, which means that users may be exposed to different variations than before. This help document will guide you through the steps of using this feature and explain […]

For any type of rule that you add, the first step you see is a Targeting section that allows you to select an existing segment or create a new one.  Start by selecting one of the 3 targeting conditions available: Target all visitors: Includes your entire user base. Chosen by default. Target a segment: You […]

Optionally, you can schedule when a rule should activate or reactivate at a specific date and time. Selecting either start or end dates will show a calendar view for you to customize the date and the timezone for when you’d like to plan this rule to take effect or turn off. Note: Keep in mind […]

You can turn your feature flags ON or OFF. Choosing a default variation At the end of your rollout rules queue is a drop-down list that defines which variation will be delivered to users by default that are not targeted by any rule while your flag is on.  Example 1: If you want to roll […]

Automatic Rollbacks is a useful safeguard for your feature flags that allow you to proactively manage feature releases. This functionality allows you to set up custom rollback conditions, or ‘triggers’ which monitor your features’ performance to automatically turn off the respective rule or flag.  This guide will walk you through the process of setting up […]

The Activity Log is available for each feature flag you create and can be very useful for your product or engineering teams to monitor and troubleshoot their feature releases. This guide will cover how to use audit logs effectively to help your team keep track of flag changes and maintain transparency. Once you have created a […]