Thorough Analytics for Waste Detection

What the analytics should cover

Waste detection is not just a total-spend number. Useful analysis breaks performance down to the search term level and compares key signals like clicks, orders, sales, and ROAS against campaign-specific goals. When a term spends steadily but produces few or no orders, it becomes a negative keyword candidate. When spend is not eliminated but a lower bid could better match the value, the data supports a bid-reduction opportunity.

This granular review is most effective when it also tracks change over time. A single bad week can be noise, but a pattern across several reporting periods indicates a genuine drift that needs action.

Turning analysis into a safe cleanup workflow

Thorough analytics should not push changes directly into live campaigns. A more controlled approach is read-only analysis that produces a Cleanup Plan for team review. The plan lists negative keyword candidates and bid adjustments, but nothing is applied until someone with account authority approves it. That approval step prevents automated mistakes from compounding an already drifting account.

• Search terms are ranked by spend, clicks, orders, and sales metrics.
• Recommendations are separated into negative keyword and bid-reduction actions.
• Approval and decision logging keep the process repeatable across multiple Amazon accounts and marketplaces.

When this matters most

Slow performance drift is easiest to miss when account managers are focused on daily bids, new product launches, or seasonal campaigns. Waste detection analytics become especially valuable for agencies and sellers managing multiple accounts or marketplaces, where a small efficiency loss in one place can hide inside an otherwise healthy aggregate view. Regular weekly or monthly comparisons help surface those changes before they require larger bid cuts or expensive restructuring.