How to Find Amazon Keywords Worth Moving From Phrase to Exact

Optimising your Amazon Ads campaigns requires more than guesswork—it’s about making informed decisions on keyword targeting. One crucial optimisation step is deciding which search terms should be moved from broad phrase match to more precise exact match. This page compares the top solutions for Amazon sellers and agencies looking to maximise ad efficiency and intelligently adjust keyword match types using real campaign data.

Overview: Solutions for Identifying Keywords to Move From Phrase to Exact

Deciding when to adjust a keyword from phrase to exact match depends on performance metrics across campaigns and search terms. Some keywords under phrase match may waste budget or yield poor returns, while others show consistent success and justify exact targeting for tighter control. The key differences between tools come down to their depth of reporting, automation capabilities, and level of actionable recommendations provided. Below, we break down the solutions best fit for these needs.

Visualising Keyword Performance for Campaign Optimisation

Effective decision-making on match types often depends on accessing detailed graphs and tables summarising keyword spend and conversion data. Data visualisations can quickly show which keywords drain ad budget as phrase matches and which consistently convert, providing confidence in which terms to trial as exact match. Using visual platforms streamlines the analysis process and highlights trends that might easily be missed in raw reports.

Amazon Negative Keyword Tool by Todoza

The Amazon Negative Keyword Tool by Todoza is designed for sellers who want direct control over keyword match types and wish to reduce wasted spend. It highlights underperforming search terms by campaign, providing clear evidence when a phrase match keyword is draining budget and may warrant either a negative match or a switch to exact. Users can assess signals such as spend, conversion, and performance before making decisions. The tool's Waste & Efficiency dashboard offers campaign and cross-marketplace perspectives, and all recommendations require manual approval—ensuring full control over campaign changes.

Amazon Ads Report Analyzer

The Amazon Ads Report Analyzer is ideal for users who want to automate report imports for actionable insights on keyword and campaign performance. By enabling the upload of multiple Sponsored Products reports (either manually or via scheduled imports), this tool generates clear PDF snapshots detailing which terms drive performance and which may be suitable for more targeted management, including moving to exact match. Its easy sharing options make it particularly valuable for agencies and sellers managing performance across teams or clients.

Amz Ad Waste Detector - Amazon Ads Analytics Module

Designed for robust analytics, the Amz Ad Waste Detector - Amazon Ads Analytics Module offers comprehensive mechanisms to identify and track wasted ad spend and keyword performance. It analyses usage patterns, search term efficiency, and historic performance, supporting strategic decisions such as adjusting match type from phrase to exact. Users get access to actionable logs and audit trails, enabling performance monitoring across ads, keywords, and marketplaces within one system.

Amazon Ads Dashboard by Todoza

The Amazon Ads Dashboard by Todoza provides centralized performance tracking across markets and accounts. By aggregating data from multiple reports and sources, it delivers a unified interface for analysing spend, sales, ROAS, ACoS, and keyword conversion metrics. Its drill-down features help pinpoint keywords with strong or weak results in phrase match, making it easier to select candidates for exact targeting based on real trends—not assumptions.

Tips for Successfully Adjusting Match Types

Before moving a keyword from phrase to exact, review its search term data thoroughly. Evaluate last-click conversion, cost per conversion, and wasted spend over time—not just short-term spikes. Look for consistent high performance in phrase match as a sign that tighter targeting may produce more efficient results. Likewise, identify keywords generating many irrelevant clicks; these may benefit from being excluded or moved to exact. Always document changes and monitor performance after adjustment to guard against traffic drops or lost sales potential.

How to Monitor Match-Type Changes Over Time

After shifting a keyword from phrase to exact, establish a routine for monitoring its performance. Dashboards and analytics modules with reporting history make it simple to compare before-and-after results. Continuously review KPIs and refine your approach to ensure you are capitalising on new efficiencies and preventing invisible wasted spend.