How do A/B test experiments work for risk management?
A/B risk experiments for risk
Risk experiments let you compare two risk profiles to decide which performs better. When you run a risk experiment, a proportion of your transactions are randomly assigned to either your current risk profile, or a new profile (B-Profile). You can then make a data-driven decision on which profile produces better authorization, refusal, and fraud rates. Experiments can be stopped at any time, allowing you to apply your preferred risk profile to all transactions.
Note: You can only run one risk experiment at a time, and only one risk experiment can be active per merchant account.
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