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Which Data Cloud component allows for analyzing individuals in a segment within the last 2 years?

  1. Nested segments.

  2. Segment exclusion.

  3. Calculated insights.

  4. Segment membership data model object.

The correct answer is: Segment membership data model object.

The option referring to the segment membership data model object is the correct choice, as it is specifically designed to capture and analyze the details of individuals within a defined segment. This component allows users to track and manage data regarding individuals' membership status in various segments over time, including the ability to analyze individual behaviors or attributes within the last two years. This capability is essential in customer relationship management and marketing analytics, where understanding the dynamics and changes within segments is crucial for tailoring strategies and improving engagement. By using this data model, users can derive insights about segment membership trends, allowing for targeted analysis of behaviors and characteristics of individuals who belong to specific segments. In contrast, nested segments typically refer to the organization of segments within one another but do not inherently allow for the temporal analysis of individuals in a segment. Segment exclusion relates to the practice of filtering out certain members from segments, which is more about refining analysis rather than directly examining individuals in the required time frame. Calculated insights involve deriving metrics from data, but they do not specifically focus on the ongoing membership status of individuals over a two-year period. Thus, the segment membership data model object effectively aligns with the requirement for analyzing individuals in a segment within the last two years.