Detailed Campaign and Keyword Analytics for Amazon Close Match
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Quick answer
Detailed campaign and keyword analytics is the process of reviewing Amazon Ads performance at the search-term, ad-group, and campaign levels to understand which close match queries drive efficient sales and which drain budget. It combines spend, sales, ROAS, clicks, impressions, and wasted-spend signals so sellers can spot patterns, prioritize negative keywords, and adjust bids without guesswork. The result is a clearer view of how automatic campaign close match traffic contributes to overall advertising profitability.
If you are seeing hundreds of close match search terms but limited clarity on what is actually performing, a structured analytics approach helps turn that raw data into decisions. Instead of relying only on Amazon’s campaign totals, you look at each keyword and its associated spend and return.
What Close Match Keyword Analytics Tells You
Detailed analytics goes beyond total campaign spend and sales. For close match traffic, it means reviewing individual search terms to see which customer queries produced clicks and conversions. A strong view includes spend, sales, ROAS, ACoS, clicks, impressions, and wasted spend across campaign, ad group, and search term levels. Amazon Ads Dashboard by Todoza consolidates these metrics into a single view, making it easier to compare targets and spot risk flags.
- Spend and sales: Identify which search terms drive revenue versus those that only consume budget.
- ROAS and ACoS: Separate profitable close match queries from inefficient ones.
- Clicks and impressions: Understand intent and reach before conversion happens.
- Wasted spend: Find search terms with clicks but little to no return.
From Raw Reports to Negative Keyword Decisions
Useful keyword analytics should end with an action. Start by importing a Sponsored Products search-term report. Then filter for close match terms with high clicks, low orders, or ROAS below your target. These are strong candidates for negative keywords or bid reductions. Amazon Negative Keyword Tool by Todoza can help classify search terms by campaign-specific performance, while Amz Ad Waste Detector adds diagnostics and cleanup recommendations. Keeping a repeatable review cadence reduces wasted ad spend and improves overall automatic campaign performance.
When This Matters for Your Campaigns
Detailed analytics becomes more important as automatic campaigns scale. If you manage multiple accounts or marketplaces, manual spot-checks quickly miss patterns. A structured dashboard and report import workflow help you compare performance across accounts and identify underperforming close match terms before budgets shift. This is also relevant for teams where multiple people need shared visibility without making unintended campaign changes.
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Related guides
Detailed campaign and keyword analytics is the backbone of close match optimization. By reviewing the right metrics and acting on search-term data, you can improve automatic campaign efficiency over time. For a broader view of how that fits into automatic targeting, see the guide on how to analyse close match performance.