> ## Documentation Index
> Fetch the complete documentation index at: https://docs.corrily.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Experimental Prices

> Setting experimental prices.

When a user falls under an active experiment, they can be served one of the pre-defined experiment treatment prices,
or a personalized price.

Few things to note about how Corrily treats experimental prices:

* Corrily's machine learning models determine what price a user gets assigned
* A uniquely identifiable user, whether using an `IP` or a `custom ID` is locked to an experiment treatment i.e. as long
  as Corrily can identify them, they will be served the same experiment treatment.
* Certain experiment prices may be disabled during an active experiment if they are under-performing (when traffic allocation
  is set to automatic)
* To check which users have been assigned what prices, anyone with `support` or higher privileges on the Corrily dashboard
  can key in the `User ID` on the *Users* page to see what experiment treatment they were assigned.
* You can edit and override a user's price here so they no longer see an experimental treatment
* For any user, when you call Corrily with the `override:true` flag, it resets the old price and a new price may be assigned
  at that point in time. The flag is local to the call i.e. next time you wish to reset a user's price, you would need to pass the
  flag again.
* Once an experiment is completed, experimented-on users will continue seeing control or experiment prices. You can move them
  to a new price using Corrily's dashboard.