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What Data Does the Ads Analytics Module Analyze?

โ† Back to How to Use Contribution Margin to Set Amazon Ads Targets

Quick answer

An Amazon Ads analytics module analyzes data imported from Amazon Advertising Console reports and automated imports, including campaigns, ad groups, targets, and search terms. It tracks spend, sales, ROAS, clicks, and conversion metrics, and compares performance against target ROAS levels to surface inefficient spend. The output is used to classify waste signals, recommend bid adjustments or negative keywords, and support team review before campaign changes.

What Data Does the Ads Analytics Module Analyze?
What Data Does the Ads Analytics Module Analyze?

In practical terms, the module does not just store ad data. It organizes the information so teams can quickly see which campaigns, targets, or search terms are driving efficient sales and which may be pulling down contribution margin.

Which advertising data does the module analyze?

The module is built around Amazon Advertising Console data. Depending on the setup, it accepts CSV/XLSX uploads or automated daily email imports, then normalizes the information across campaigns, ad groups, targets, and search terms.

  • Campaign performance and spend
  • Ad group and targeting data
  • Search term metrics
  • Marketplace and account context
What Data Does the Ads Analytics Module Analyze?
What Data Does the Ads Analytics Module Analyze?

How it uses the data to highlight wasted spend

Instead of only organizing raw reports, the module compares spend, sales, and ROAS against target performance. Search terms and targets that fall short can be flagged for review. It may then separate those items into negative keyword candidates, bid-reduction opportunities, or terms that need more data before action.

This read-only approach means the module does not change live campaigns automatically. Teams review signals first and approve any changes. For example, Amz Ad Waste Detector - Amazon Ads Analytics Module uses a decision workspace to classify waste signals and plan campaign actions.

When this matters

This analysis is most useful when rising ad spend is not producing a proportional lift in sales. If contribution margin is a key constraint, seeing exactly which targets or search terms underperform can support clearer decisions around negative keywords, bid changes, or shifting budget to stronger terms. It also helps teams managing multiple Amazon accounts because the same data model can be applied across marketplaces.

What Data Does the Ads Analytics Module Analyze?

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Related guides

Knowing what the Ads Analytics Module analyzes is a practical starting point before adjusting campaign targets. When search terms and campaigns that erode contribution margin become visible, the next step is to connect those insights to ad spend targets. See how to use contribution margin to set Amazon Ads targets for the broader planning framework.