An Adobe Target Business Practitioner has a standard A/B test that causes an inherent cost because it is spending traffic to measure performance of each experience individually to determine the…

Question

Options

• AAuto-Allocation
• BMultivariate Testing
• CAuto-Target
• DPersonalization Algorithm

• A
  70% (19)
• B
  4% (1)
• C
  19% (5)
• D
  7% (2)

Explanation

Auto-Allocation (A) solves the "cost of exploration" problem by dynamically shifting more traffic toward the winning experience as performance data accumulates - rather than splitting traffic equally throughout the test, it continuously learns and redirects visitors, reducing wasted traffic on underperforming experiences.

Why the distractors are wrong:

• B. Multivariate Testing actually increases traffic cost because it tests multiple element combinations simultaneously, requiring even more traffic to reach significance.
• C. Auto-Target uses machine learning to personalize experiences per visitor - it's about delivering the best experience to each individual, not reducing test cost.
• D. Personalization Algorithm is the underlying mechanism behind Auto-Target/Recommendations, not a standalone test type you select - and it doesn't address the exploration cost problem.

Memory tip: Think of Auto-Allocation as a "smart funnel" - it stops wasting visitors on losers mid-test, like a casino that keeps raising the stakes on the winning slot machine while pulling money from the losing ones.

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