Performance Data Analyzed by Amz Ad Waste Detector
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Quick answer
Amazon Ads performance data analyzed by Amz Ad Waste Detector includes spend, sales, ROAS, ACoS, wasted spend, CPC, CTR, impressions, clicks, orders, CVR/CR, and impact scores. The tool uses these metrics to surface search terms and targets that are underperforming, so advertisers can prioritize bid reductions or negatives across large campaign sets without manual spreadsheet work.
Understanding which metrics feed the analysis helps you trust the prioritization. Instead of looking at a single vanity metric, Amz Ad Waste Detector blends cost, revenue, and engagement data to show where spend is leaking and which bid changes deserve attention first.
Core Metrics for Bid and Keyword Decisions
In the Amz Ad Waste Detector workspace, these metrics are grouped to support a cleanup queue. Spend, sales, and orders show how much a target is moving, while ROAS and ACoS indicate whether that movement is profitable. CPC, CTR, and CVR/CR add efficiency context: a term may have high impressions but weak clicks, or high clicks but few conversions.
- Spend, sales, and orders for volume context
- ROAS and ACoS for profitability signals
- CPC, CTR, CVR/CR, and impressions for efficiency trends
- Wasted spend and impact scores for prioritization
Wasted Spend and the Cleanup Plan
Wasted spend is one of the most actionable outputs. When a search term receives clicks without orders or operates far above the account ROAS target, the system can flag it for review. The Cleanup Plan workspace then organizes those flags into active recommendation types, including bid reductions and negative keyword suggestions. Because the tool is read-only, you still decide which changes to apply in Amazon Ads, which keeps control in your hands.
When This Matters for Large Account Sets
If you manage dozens or hundreds of targets, manually checking every metric across multiple campaigns is impractical. A centralized read of spend, sales, ROAS, ACoS, and wasted spend makes it easier to see which targets are dragging performance. This matters most when budgets are spread thin and you need to reallocate investment quickly based on current data rather than guesswork.
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Once you know which performance data the tool analyzes, you can use that same signal set to prioritize bid changes across your Amazon catalog. The full guide on prioritizing bid changes explains how to turn those prioritized signals into a consistent workflow across hundreds of targets.