What term is used for the rules that determine data prioritization in customer profiles?

The term "Merge policies" refers to the specific set of rules and criteria that guide how various data points about a customer are combined or prioritized within customer profiles in Adobe Experience Platform. These policies dictate which data sources take precedence when there are overlaps or conflicts in customer information, ensuring that the most accurate and relevant data is used in building comprehensive customer profiles.

By applying merge policies, organizations can maintain a unified view of their customers, even when the data comes from different sources or systems. This is essential for delivering personalized experiences, as it helps to ensure that the customer profiles reflect the latest and most reliable information available.

In contrast, merging algorithms pertain to the technical processes used to combine data but do not encompass the decision-making aspect of prioritization. Data separation rules focus on how to segment or separate data rather than how to consolidate it. Lastly, identity frameworks are broader constructs that outline how identities are created and managed across systems but do not specifically address the prioritization rules for data within profiles.