While examining visit data, an analyst noted a disparity in the number of visits between Adobe Target and other solutions within the Adobe Experience Cloud, notably Adobe Analytics. What might be a…

Question

Options

• AAdobe Target's tracking implementation is more accurate than other solutions, resulting in a lower
• BAdobe Target's tracking implementation is more accurate than other solutions, resulting in a higher
• CAdobe Target counts visits only for visitors that qualified for the activity. Other solutions count visits
• DAdobe Target's algorithms prioritize quality data over quantity, leading to a more conservative

• A
  5% (2)
• B
  14% (6)
• C
  74% (31)
• D
  7% (3)

Explanation

Option C is correct because Adobe Target is designed to count visits only for visitors who actually qualify for and enter a specific activity, meaning visitors who never see the targeted experience are excluded from Target's visit count. Adobe Analytics, by contrast, counts all visits to a page regardless of whether the visitor qualified for any Target activity, which naturally produces a higher visit count in Analytics than in Target.

Why the distractors are wrong:

• A & B are fabricated - there is no concept of Target being "more accurate" in tracking; the difference is about scope of counting, not precision.
• D is a made-up explanation; Target has no "quality over quantity" algorithm that conservatively filters visits for data hygiene purposes.

Memory tip: Think of Target as a velvet rope - it only counts the guests who actually got inside the club (qualified for the activity). Analytics counts everyone who walked past the door.

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