A client wants to promote high-margin products through recommendations but exclude out-of- stock items. What should they configure?

Question

Options

• AUse a high-profit-margin algorithm and enable product availability filters
• BCreate a custom audience for high-margin products
• CConfigure mbox parameters to exclude unavailable products
• DUse Experience Fragments to prioritize profitable items

• A
  74% (35)
• B
  6% (3)
• C
  15% (7)
• D
  4% (2)

Explanation

Option A directly solves both business requirements in a single configuration: a high-profit-margin algorithm ranks and surfaces products based on profitability, while product availability filters dynamically exclude out-of-stock items from appearing in recommendations - no custom logic needed.

• B is wrong because custom audiences segment users, not products; they don't control which products surface in a recommendation feed.
• C is wrong because mbox parameters pass contextual data to the recommendation engine but don't natively filter by product availability as a dedicated filter rule would.
• D is wrong because Experience Fragments are pre-built content components for A/B testing or layout personalization - they don't drive algorithmic product ranking or real-time inventory filtering.

Memory tip: Think of it as two knobs on a recommendations engine - one knob controls what to show (algorithm = margin), and the other controls what to hide (filter = availability). Option A is the only choice that turns both knobs simultaneously.

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