When identifying opportunities for optimization, which factors should be prioritized? (Select two.)

Question

Options

• ALow-performing pages
• BPages with high traffic
• CPages with minimal user interaction
• DRecently launched pages

• A
  77% (17)
• C
  9% (2)
• D
  14% (3)

Explanation

Optimizing low-performing pages (A) and high-traffic pages (B) delivers the greatest return on investment: fixing underperforming pages directly improves user experience and conversion, while improvements to high-traffic pages amplify impact across the largest audience. These two factors together maximize both reach and measurable gain.

C is wrong because pages with minimal user interaction have little effect on overall performance metrics - optimizing them moves the needle almost nothing. D is wrong because recently launched pages are unlikely to have accumulated enough data to justify prioritization; optimization decisions should be data-driven, not recency-based.

Memory tip: Think "Impact × Scale" - A targets impact (fix what's broken), B targets scale (reach the most users). If a choice doesn't speak to either impact or scale, eliminate it.

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