What Data Do You Need to Find Overpriced Top-of-Search Placements?

Core Data to Collect

To assess whether a top-of-search placement is overpriced, start with ad spend, sales, ROAS, and ACoS for the specific campaign and placement. Search term reports then connect those totals to the queries that triggered the ads.

• Ad spend — total cost attributed to the placement or search term.
• Sales — attributed revenue used to calculate return.
• ROAS — revenue divided by ad spend; low ROAS often signals cost pressure.
• ACoS — ad spend divided by sales; high ACoS shows a larger share of revenue going to ads.
• Search term reports — query-level data needed to isolate waste and opportunity.

Why Placement and Campaign Segmentation Changes the Picture

Blended campaign metrics can hide a costly top-of-search placement behind stronger product page performance. When data is segmented by placement and campaign, a search term that looks acceptable at campaign level may show poor top-of-search ROAS. That split is what separates a worthwhile premium placement from an overpriced one.

A unified dashboard like Amazon Ads Dashboard by Todoza can bring these data points together for comparison. Use placement-level data to review top-of-search spend against sales, then compare that ratio to other placements in the same campaign.

When This Matters and What to Do Next

This analysis matters most when ACoS is climbing on high-volume terms, when top-of-search spend grows faster than sales, or when a product has healthy conversion but thin margin. In those situations, placement-level data helps you move from “sales are up” to “this specific placement is eating profit.”

From there, the data supports actions such as adding negative keywords, reducing top-of-search bid adjustments, or shifting budget toward placements with stronger ROAS. The decisions remain manual, but the data gives you a defensible reason for each change.