An enterprise wants to provide personalized recommendations for visitors based on their previous browsing behavior. Which configurations in Adobe Target are necessary to achieve this? (Select two)

Question

Options

• ASet up a Recommendations activity
• BIntegrate with Adobe Experience Manager (AEM)
• CLeverage Analytics segments via A4T
• DUse behavioral data in mbox calls

• A
  71% (17)
• B
  21% (5)
• C
  8% (2)

Explanation

To deliver personalized recommendations based on browsing behavior in Adobe Target, you need a Recommendations activity (A) - the dedicated activity type designed to automatically surface relevant content/products using algorithms - and behavioral data passed via mbox calls (D), which is how Target receives the user's real-time interaction data (viewed items, categories, etc.) to feed those algorithms. Without mbox-delivered behavioral signals, the Recommendations engine has no data to personalize against.

Why the distractors are wrong:

• B (AEM integration) enables content delivery and authoring workflows but has no role in powering behavioral recommendations logic.
• C (A4T Analytics segments) is a reporting integration that lets you analyze Target activity results in Analytics - it doesn't drive the personalization engine itself.

Memory tip: Think of it as "Engine + Fuel" - the Recommendations activity is the engine, and mbox behavioral data is the fuel. AEM and A4T are about publishing and reporting, not personalizing.

No community discussion yet for this question.