Amazon Sellers' Guide To Search Query Performance

For most Amazon sellers, optimizing a listing feels like a guessing game. You know you could be selling more, but you're not sure what to fix or why.

For sales that begin in Amazon search, two useful checkpoints are:

1. winning the click on the search results page (Click-Through Rate),

2. and then winning the purchase on your product page (Conversion Rate).

It is easy to spend a week for polishing the wrong part of a listing. The report helps you narrow down where to look, it does not tell you the cause on its own.

This guide uses Search Query Performance to build a practical hypothesis about clicks and purchases. One useful clue is enough to start, you do not need to fix everything at once.

#Part 1: Acquiring Your Data

You can download the data manually or sync available reports with the Amazon Data Connector for Google Sheets. We will use the manual route here. Access to Brand Analytics requires a Professional selling account and the Brand Representative role for an enrolled brand.

#Step 1: Navigate to Brand Analytics

• Action: In your Amazon Seller Central account, click the main "hamburger menu" (☰) in the top-left corner. Navigate down to the "Brands" tab and click on "Brand Analytics."

#Step 2: Access Search Query Performance

• Action: Once inside Brand Analytics, click on "Search Analytics." From there, select "Search Query Performance."

• Why it's important: This report compares your performance with overall search-query activity for queries relevant to your brand. It is not a record of every shopping journey or all Amazon sales.

#Step 3: Select Your Product and Timeframe

• Action:

  1. Go to the "ASIN View" tab.

  2. From the dropdown, choose your highest-selling product (ASIN).

  3. Switch to the "Monthly View" and select the most recently completed calendar month that is available. For a review in September, that would usually be August.

  4. Click the "Apply" button.

• Why it's important:

  • Highest-Selling Product: A product with substantial traffic gives you more observations. That helps, but it does not guarantee a statistically reliable result for every query.

  • Completed Month: Using a full, completed month gives you a clean and comparable dataset, avoiding the noise and skewed data from an incomplete period.

#Step 4: Download the Data

• Action: Click the "Generate Download" button. A download manager will appear. Once the file is ready, click "Download."

• Why it's important: This exports the raw data from Amazon's interface. To make it truly useful, you need to manipulate it, which is best done in a spreadsheet program.

#Step 5: Import Data into a Spreadsheet

• Action: Open a new Google Sheet or Excel file. Use the "Import" function (File > Import) to upload the data file you just downloaded.

• Why it's important: This is a crucial step. The spreadsheet environment allows you to add your own formulas to calculate the key metrics that Amazon doesn't provide directly, which is the foundation of this entire analysis.

#Part 2: Processing and Diagnosing

#Step 6: Calculate Your Key Performance Indicators (KPIs)

• Action: In your spreadsheet, create new columns to calculate these four essential rates for each keyword:

  1. Market Click-Through Rate (CTR): Formula: Total Clicks / Total Impressions

  2. Your ASIN's CTR: Formula: ASIN Count of Clicks / ASIN Count of Impressions

  3. Market Conversion Rate (CR): Formula: Total Purchases / Total Clicks

  4. Your ASIN's CR: Formula: ASIN Count of Purchases / ASIN Count of Clicks

• What this data means:

  • Market CTR & CR: These ratios use aggregate query counts, so they are weighted benchmarks, not an average of each product's rate. Keep the marketplace and reporting period the same.

  • Your ASIN's CTR & CR: Use ASIN counts because we selected ASIN View. Format results as percentages and leave a rate blank when its denominator is zero. These calculated ratios are not the report's search-volume-based Click Rate or Purchase Rate.

#Step 7: Analyze and Formulate a Hypothesis

• Action: Start with roughly 20 relevant queries that have enough ASIN impressions and clicks. Compare your ASIN's rates with the query totals, treating gaps as clues rather than diagnoses.

• How to diagnose:

  • If YOUR CTR is lower than the Market CTR: Check the main image, title, price, delivery promise, rating, and search placement. A lower rate does not isolate one cause.

    • Hypothesis Example: "For 'jar opener', my CTR is 7% versus a 16% benchmark. I will test whether a clearer product angle helps shoppers understand its shape."

  • If YOUR CR is lower than the Market CR: Review the offer and product page together: stock, price, delivery, reviews, and content can all matter. Check whether the query actually matches the product.

    • Hypothesis Example: "For the keyword 'jar opener for seniors', my CR is 12% while the market is 30%. My hypothesis is that my listing content doesn't have images or text that specifically highlights ease of use for people with weak hands."

#Part 3: Experimentation and Improvement

#Step 8: Develop and Execute Experiments

• Action: Based on your diagnosis, create and test a new asset.

  • For a CTR problem: Test a clearer angle or crop within Amazon's main image requirements. Do not add infographic text or unrelated props to the main image; use suitable secondary images for explanatory content.

  • For a CR problem: Ideate and create variations of your A+ Content or secondary images. For example: add a comparison chart, add lifestyle images showing the use case, or create an image that addresses a common negative review.

• Execution: Use Manage Your Experiments if your brand, ASIN, traffic, and content type are eligible. The tool shows which products qualify.

• Why it's important: A controlled test helps separate the effect of content from other changes. It can still be inconclusive, especially with limited traffic.

#Step 9: Monitor Your Results

• Action: Let the experiment complete and review the confidence in its result. Do not force a winner from an inconclusive test. Then compare equivalent periods in Search Query Performance.

• Why it's important: This checks whether the trend continued. Note promotions, price changes, seasonality, and stockouts too; a before-and-after report alone cannot prove which change caused the result.

#Final Thoughts

The most successful Amazon sellers operate like scientists, not gamblers. By embracing this data-driven process, you move away from making hopeful guesses and toward making strategic, informed decisions. This framework isn't a one-time fix; it's a continuous improvement loop that allows you to systematically strengthen your listing against the competition, one keyword at a time. The data is waiting for you in your Seller Central account. It's time to put it to work.