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Which three criteria can be included when building a segment in Data Cloud?

  1. Direct attributes

  2. Data stream attributes

  3. Calculated Insights

  4. Related attributes

  5. Streaming insights

The correct answer is: Direct attributes

When building a segment in Data Cloud, including direct attributes is a key criterion because direct attributes refer to specific, defined characteristics of the data that are necessary for identifying and categorizing users or entities within a dataset. These can include demographic information, behavioral traits, or other relevant metrics that can be directly measured or observed. In the context of data segmentation, direct attributes are vital as they allow for precise targeting and analysis. For instance, if you want to segment users based on age, gender, or purchase history, these direct attributes define the boundaries of each segment, facilitating tailored marketing strategies or data analysis. In contrast, while other criteria like data stream attributes, calculated insights, related attributes, and streaming insights can provide additional context or enhance segmentation efforts, they do not provide the foundational characteristics that direct attributes do. Direct attributes lay the groundwork for effective segmentation by ensuring that the criteria used are relevant and directly associated with the entities being analyzed.