Amazon Automatic Campaigns: How to Analyse Close Match Performance

Success with Amazon automatic campaigns hinges on understanding how your budget is spent, especially on close match traffic. With the right analytics suite, sellers and agencies can quickly identify which search terms are driving conversions and which are draining budget. This page compares the top tools for analyzing close match performance, helping you isolate waste, optimize campaign structure, and maximize ad ROI. Whether managing a single brand or dozens of client accounts, the right solution makes efficient, scalable analysis possible.

Comparing Tools for Close Match Analysis in Amazon Automatic Campaigns

Each solution approaches close match analysis a little differently. Some emphasize cross-campaign and marketplace visibility, while others excel at negative keyword identification, granular search term tracking, or generating shareable client reports. Key distinctions include how reports are imported, automation level, actionable recommendations, and whether or not live campaigns are changed automatically. None of these tools makes changes to your campaigns without your explicit approval, ensuring budget control. Below, explore each product's strengths and where it fits within your Amazon Ads optimization workflow.

How Analytics Reveals Close Match Ad Waste

Drilling into close match performance highlights which search terms drive sales and which drain budget without results. A robust analytics platform enables you to sort and filter by spend, conversions, and ROAS, making it clear where your automatic campaigns need negative keyword action or bid adjustments. The right tool saves time, ensures accuracy, and gives every stakeholder actionable, team-friendly insights.

Amazon Negative Keyword Tool by Todoza

This tool is designed to efficiently prioritize search terms for negative keyword management. By importing Search Terms reports via CSV, XLSX, or scheduled emails, it evaluates campaign-specific metrics like spend, sales, and conversion rate. The platform classifies terms into candidates for negative keywords, bid reduction, or marks them as needing more data. Its cross-campaign and cross-marketplace visibility through the Waste & Efficiency dashboard supports team workflows from solo sellers to agencies. Importantly, there are no automatic changes to campaigns—all actions require manual team review for full control.

Amazon Negative Keyword Tool by Todoza

Amazon Ads Report Analyzer

Best for automating import and processing of Sponsored Products search-term reports, the Report Analyzer can automatically import scheduled daily reports sent to a dedicated email address—removing manual steps. Upload CSV or XLSX files, and the system generates PDF snapshots with headline KPIs and detailed breakdowns for campaigns and search terms, tracking performance and waste. It supports a high volume of accounts and is ideal for generating client-ready performance reports, though it is not currently compatible with Sponsored Brands or Sponsored Display report formats.

Amazon Ads Report Analyzer

Amz Ad Waste Detector - Amazon Ads Analytics Module

This system is engineered for deep performance analysis, optimization, and detect spend not meeting target ROAS. It delivers detailed data on campaigns, ad groups, targets, search terms, and advertised ASINs. The Waste 4.0 analysis identifies inefficient spend and underperforming search terms, providing cleanup plans with recommended actions like negative keyword suggestions and bid adjustments. Agencies can confidently spot budget leakage, enabling proactive campaign optimization.

Amz Ad Waste Detector - Amazon Ads Analytics Module

Amazon Ads Dashboard by Todoza

For teams managing multiple accounts and marketplaces, the Amazon Ads Dashboard aggregates Amazon Ads reports into a unified dashboard for easier monitoring. Track up to nine performance metrics including ad spend, sales, ROAS, and wasted spend. The system is role-based and read-only, ensuring safe collaboration across teams without risk of unauthorized campaign edits. This is a go-to choice for high-level monitoring and trend detection without automating live campaign changes.

Amazon Ads Dashboard by Todoza

Tips for Analysing and Acting on Close Match Data

Focus your analysis on isolating high-spend, low-conversion search terms by regularly importing fresh data. Review performance at both campaign and search term level—waste often hides where overall ROAS looks healthy but individual terms underperform. Use PDF snapshots to communicate findings with clients or stakeholders. Finally, always manually confirm negative keyword and bid recommendations to avoid cutting off valuable data prematurely.

When to Review Close Match Data Frequency

To keep wasted spend in check, review close match data at least every week, or more often for high-traffic accounts. Use dashboards and emailed reports to catch anomalies early, then coordinate negative keyword updates in your ad console. Proactive monitoring prevents runaway costs and ensures that optimizations are based on real performance signals, not guesswork.