Feature Flag User Targeting: How It Works in ConfigCat
Would you like to catch bugs before your users do? If your answer is yes, then learning how to implement user targeting in your next feature release is essential. The core idea behind user targeting is to control who gets a new feature or experience.
In situations where you need to test a new feature with a smaller audience first, user targeting helps you learn from real users without putting the full release at risk.
Coming up, we'll discuss two ways to implement user targeting using ConfigCat: deterministic targeting, where you hand-pick exactly who gets the feature by name, email, company, or any other attribute you know about your users, and percentage targeting, where you define percentage groups and let users land consistently in the same experience every time.
