What are common criteria used to define segments in Adobe RT-CDP? (Select two.)

Question

Options

• ADemographic attributes such as age and gender.
• BDULE policy enforcement rules.
• CBehavioral data such as purchase history.
• DStatic batch ingestion rules.

• A
  83% (35)
• B
  5% (2)
• D
  12% (5)

Explanation

Segments in Adobe Real-Time CDP are built on actual customer profile data, so demographic attributes (A) like age and gender - stored as profile attributes - and behavioral data (C) like purchase history - captured as experience events - are the two foundational pillars of segment definition in the platform.

Why the distractors are wrong:

• B (DULE policy enforcement) - Data Usage Labeling & Enforcement is a governance mechanism that restricts how data is used, not a criterion for defining who belongs in a segment.
• D (Static batch ingestion rules) - RT-CDP's strength is real-time profile evaluation; static batch rules describe an ingestion method, not a segmentation criterion, and contradict the "real-time" nature of the platform.

Memory tip: Think "WHO they are + WHAT they do" - Demographics answer who (age, gender, location), Behavior answers what they do (purchases, clicks, views). Both describe the customer; DULE and batch ingestion describe data operations, not customers.

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