How to Compare Conversion Rate Across Amazon Keyword Match Types
Quick answer
Comparing conversion rates across Amazon keyword match types enables sellers and advertisers to pinpoint which targeting strategies deliver the most sales for their ad spend. By analysing campaign performance at the match-type level, you can optimise keyword selection and budgets to increase ROI and reduce wasted spend on underperforming queries.
Master conversion rate analysis for Amazon keyword targeting
Understanding which keyword match types yield higher conversion rates is crucial for Amazon advertisers aiming to improve campaign efficiency and profitability. This guide walks you through the data-driven process of analysing and comparing conversion rates across broad, phrase, and exact match types using accessible tools and actionable steps.
What You'll Need
- Amazon Ads Report Analyzer – for automated importing and analysis of Sponsored Products search-term reports.
- Amazon Negative Keyword Tool by Todoza – to classify and manage underperforming search terms based on match type.
- Amz Ad Waste Detector - Amazon Ads Analytics Module – for in-depth performance and waste analysis by match type.
- Amazon Ads Dashboard by Todoza – to visualise trends and compare conversion rates at different campaign levels.
Why Match-Type Segmentation Matters
Segmenting your Amazon Ads data by keyword match type reveals critical differences in how users discover and interact with your products. With clear match-type breakdowns, you can spot wasted spend, optimise bids, and focus effort on those targeting strategies that consistently convert.
Step 1: Gather Search Term and Keyword Match Type Data
Start by exporting or scheduling Amazon Sponsored Products search-term reports. These reports contain vital performance data, including which keywords triggered your ads, their match type, clicks, and conversions. Ensure your data covers a statistically relevant timeframe, such as the past 30–90 days, to spot reliable trends. Avoid over-focusing on extremely short periods, which may be misleading due to low data volume.
The Amazon Ads Report Analyzer simplifies this step by automating the import of search-term reports from multiple Amazon accounts or marketplaces, saving time and improving consistency in your data sets.
Step 2: Segment and Filter Data by Match Type
Once you have consolidated your ad performance data, organise the results by keyword match type: broad, phrase, and exact. This segmentation allows for like-for-like comparison and isolates the performance of each targeting type. Use spreadsheet software or analytics platforms that enable sorting and filtering by match type—this will help highlight patterns specific to each group.
The Amz Ad Waste Detector - Amazon Ads Analytics Module offers advanced segmentation capabilities, breaking down metrics by match type, target, and search term for deeper analytical insights.
Step 3: Calculate and Compare Conversion Rates
For each match type, calculate the conversion rate by dividing the number of conversions (or orders) by total clicks. This produces a percentage that represents each type’s effectiveness in turning ad clicks into sales. Place these numbers side by side to compare match-type performance in your specific campaigns or accounts.
The Amazon Ads Dashboard by Todoza visualises conversion rates and trends across match types, enabling quick identification of which targeting delivers the highest ROAS and driving strategic decisions.
Step 4: Identify and Address Underperforming Match Types
Look for match types with unusually low conversion rates or high wasted spend. These often indicate overbroad targeting or inefficient keyword management. Consider adding negative keywords where irrelevant search queries or low-converting match types are wasting budget.
The Amazon Negative Keyword Tool by Todoza helps you pinpoint and manage underperforming search terms based on detailed match-type analysis, allowing for targeted bid reductions and negative keyword additions.
Tips and Troubleshooting
- conversion rate is the percentage of ad clicks that result in a sale. Always use the same metric for valid comparison.
- Broad match keywords cast a wider net and often yield lower conversion rates due to less targeting. Monitor these closely for wasted spend.
- Phrase and exact match types typically show higher conversion rates, but may have smaller impression volumes. Balance reach and efficiency.
- Always compare conversion rates over a meaningful time period to avoid reacting to anomalies or noise in the data.
- Watch for seasonal or promotional effects that impact all match types but may distort short-term trends.
- If your data shows inconsistent results, check for keyword overlap or campaign structure issues that blur the distinction between match types.
Common Pitfalls in Match-Type Analysis
Mistaking impressions or clicks for true conversion performance leads to wasted ad budgets. Always analyse conversion rate alongside spend, and use reliable reporting intervals to uncover sustainable trends rather than short-term fluctuations.
Frequently Asked Questions
Are there tools that automate conversion rate comparison for Amazon Ads?
Yes, platforms like Amazon Ads Report Analyzer and Amz Ad Waste Detector by Todoza automate search-term data import and provide conversion analyses by match type.
How does ROAS relate to conversion rate in Amazon Ads analysis?
ROAS (Return on Ad Spend) is directly tied to conversion rate; higher conversion rates typically help improve ROAS if order values stay similar.