📋 Overview
Most sellers guess at keywords: they pull a third-party tool, grab a volume estimate, and hope the term converts. Search Query Performance removes most of that guesswork by showing you what actually happened on real Amazon searches — how many shoppers searched a term, how many clicked, how many added to cart, and how many bought, alongside your brand’s share of each of those steps.
It costs nothing beyond Brand Registry enrollment, and it is sourced from Amazon’s own search logs rather than modeled from outside data. This article covers what each column measures, how to turn share gaps into a specific fix, and how to build a repeatable review cadence.
🎯 Who This Is For
🌱 Beginner sellers
- You just enrolled in Brand Registry and have never opened Brand Analytics.
- You are choosing which keywords belong in your title, bullets, and backend search terms.
- You want to know whether a listing’s problem is traffic or conversion before you spend money on ads.
🚀 Advanced sellers
- You manage a multi-ASIN catalog and need to prioritize which listings to work on this month.
- You want to size a keyword opportunity by purchase volume rather than by an estimated search count.
- You are measuring whether a listing change, price move, or ad push actually shifted share on the terms you care about.
🔑 Key Concepts You Need to Know
🔎 Search query
The exact phrase a shopper typed into Amazon’s search bar. Search Query Performance reports on queries, not on your chosen keywords, so it shows you demand you may not be targeting yet.
📊 The four-step funnel
Every query row breaks into Impressions, Clicks, Cart Adds, and Purchases. Each step reports a total count for the whole marketplace on that query, plus your brand’s count and your brand’s share of that step.
📈 Brand share
Your slice of each funnel step for that query. Share is the diagnostic that matters: comparing your impression share to your click share to your purchase share tells you where shoppers are dropping you.
🏷️ Median price and shipping speed columns
The report also shows median click price and median purchase price for the query, plus shipping-speed breakdowns. These give you the competitive context — what shoppers on that query are actually paying and how fast they expect delivery.
🔀 Brand View vs. ASIN View
Brand View aggregates every query where your brand appeared. ASIN View narrows to a single ASIN and shows the queries that drove its funnel. Use Brand View to find opportunity, ASIN View to assign the fix to a specific listing.
🛠️ Step-by-Step Guide
1️⃣ Open the report and confirm access
Go to Brand Analytics in Seller Central and select Search Query Performance. Access requires an active Brand Registry enrollment tied to your selling account. If you are not brand registered, skip to Step 8 for the non-brand alternative.
Good result: you see a query table with impression, click, cart add, and purchase columns populated for a recent reporting period.
2️⃣ Choose the right reporting range
Switch between weekly, monthly, and quarterly ranges. Weekly is for reacting to a launch or a sudden drop. Monthly and quarterly are for spotting seasonality and for judging whether a change stuck.
Pitfall: reading a single week during a holiday or a Deal event and treating it as your baseline. Always sanity-check a spike against the surrounding weeks.
3️⃣ Export and sort by purchase volume, not impressions
Download the report and sort queries by total purchases on the marketplace. A query with enormous impressions and few purchases is a browsing term; a query with modest impressions and heavy purchases is where money changes hands.
Good result: a shortlist of 20 to 40 queries that account for most of the purchase volume relevant to your catalog.
4️⃣ Calculate your three share gaps
For each shortlisted query, write down impression share, click share, cart add share, and purchase share side by side. Then read the drop-offs:
- Low impression share — Amazon rarely shows you for this query. That is a relevance and visibility problem.
- Impression share high, click share much lower — shoppers see you and scroll past. That is a search-result-tile problem: main image, title clarity, price, review count, or badge.
- Click share high, cart add or purchase share much lower — shoppers land on your page and leave. That is a detail page, offer, or availability problem.
💡 Pro Tip: Rank your fixes by the size of the gap multiplied by the query’s total purchases. A two-point share gap on a high-purchase query is worth more than a twenty-point gap on a query nobody buys from.
5️⃣ Fix impression-share gaps with relevance
If the query is genuinely descriptive of your product and you are barely appearing, confirm the phrase is represented in your listing. Work it into the title where it reads naturally, into bullets, and into the backend Search Terms field in Manage Inventory.
The backend field is capped at 249 bytes in the US marketplace, so do not repeat words already in your title — repetition wastes the budget without adding coverage. Amazon’s title convention leads with the brand name, then flavor or style, product type, key attribute, color, and size or pack count; fit the query into that order rather than fighting it.
Pitfall: stuffing unrelated high-volume queries into your listing. Irrelevant terms attract clicks that do not convert, which drags down the very conversion signals that earn organic placement.
6️⃣ Fix click-share gaps on the search tile
Everything a shopper sees before clicking lives in a small tile. Check your main image against a pure white background (RGB 255, 255, 255), confirm the image is at least 1,000px on the longest side so zoom activates, and make sure the first 60 or so characters of your title communicate what the product is.
Compare your price to the median click and purchase price columns for that query. If your price sits far above the median and your click share is thin, price is a live hypothesis, not a footnote.
7️⃣ Fix cart-add and purchase gaps on the detail page
Cross-reference the ASINs involved in Business Reports and look at Unit Session Percentage. If it is soft across the board, the problem is page-wide, not query-specific: image set, bullet clarity, A+ Content, variation setup, or out-of-stock periods.
Also check whether you held the Featured Offer during the period. Losing it moves your product out of the default buy path and shows up as a purchase-share collapse with click share intact.
8️⃣ If you are not brand registered, use ad data instead
Non-brand-registered sellers cannot open Search Query Performance, but a Sponsored Products auto campaign plus the search term report under Measurement & Reporting > Sponsored ads reports gives you real queries, real clicks, and real conversions for your own ASINs. You lose marketplace-level totals and share, but the diagnostic logic is the same.
9️⃣ Change one thing, date it, and re-measure
Log the date of every listing or price change against the ASIN. Then compare the same queries across later reporting periods. If you change images, copy, and price in the same week, the report cannot tell you which one worked.
For image, title, bullet, description, and A+ Content changes, brand-registered sellers can run a controlled split test in Manage Your Experiments, which declares a winner at 95% statistical significance.
💡 Pro Tip: Keep a simple sheet with query, ASIN, the share numbers before the change, the change made, the date, and the share numbers two reporting periods later. That sheet becomes more valuable than any keyword tool you could buy.
🔟 Set a recurring cadence
Review weekly during launches and Q4, monthly the rest of the year, and quarterly for category-level strategy. A report you open twice a year tells you nothing about cause and effect.
💼 Real-World Examples
🧴 A single-ASIN seller with strong impressions and weak clicks
Problem: A new brand-registered seller sees healthy impression share on its top query but click share several times smaller. Ad spend is rising without much revenue behind it.
Action: The seller compares its price to the median purchase price column and finds it well above. It also replaces a lifestyle main image with a clean product-on-white shot at a resolution that supports zoom.
Result: Over the following reporting periods, click share moves closer to impression share and ad cost per click stabilizes. Directionally, the funnel narrows at a later stage instead of the first one.
📦 A 40-ASIN seller prioritizing a quarter of work
Problem: The team has limited listing-optimization hours and no objective way to choose which ASINs get attention.
Action: They export a quarterly report in ASIN View, calculate each ASIN’s largest share gap, and multiply it by the query’s total purchases. The top ten rows become the quarter’s backlog.
Result: Work concentrates on listings where the addressable purchase volume is largest, rather than on whichever ASIN a team member noticed most recently.
🚨 A seller diagnosing a sudden revenue drop
Problem: Weekly revenue falls sharply with no listing changes made.
Action: The seller pulls weekly Search Query Performance and sees impression and click share flat but purchase share falling. That rules out a search-visibility issue and points at the offer.
Result: Investigation surfaces a competing offer undercutting on price and periods without the Featured Offer. The fix is a pricing and buy-box decision, not a keyword rewrite.
⚠️ Common Mistakes to Avoid
❌ Treating impressions as the success metric
Impression counts are the easiest column to read and the least useful in isolation. Sellers chase high-impression queries because they look like demand, then wonder why conversion is flat. Sort by purchases and treat impressions as context, not as a target.
🚫 Adding every query you see to your listing
The report surfaces queries where your brand appeared, including loosely related ones. Cramming them all into your title and backend terms dilutes relevance and can pull in poorly converting traffic. Add a query only if a shopper typing it would genuinely be satisfied by your product.
⚠️ Reading one week as a trend
Weekly data moves with deals, competitor stockouts, seasonality, and advertising surges. Confirm any conclusion against a monthly or quarterly view before you rewrite a listing.
🔁 Changing five things at once
Simultaneous image, copy, price, and ad changes make the follow-up report unreadable. Sequence changes, date them, and where the element supports it, test rather than assume.
📈 Expected Results
Applied consistently, this workflow changes what you do next, not just what you know. Specifically:
- Faster diagnosis. You stop guessing whether a slow ASIN needs traffic or conversion work, because the share gaps tell you.
- Better keyword selection. Your title, bullets, and backend Search Terms reflect queries that produce purchases in your category.
- More efficient ad spend. Queries with high purchase volume and low brand share become deliberate ad targets instead of accidental ones.
Watch click share and purchase share on your shortlisted queries, and Unit Session Percentage in Business Reports for the affected ASINs. Search-result changes need time to propagate and time to accumulate enough data to read, so compare across at least two full reporting periods before judging a change. Split tests take longer still — when you choose your own duration, Amazon recommends running an experiment for 8 to 10 weeks. No listing change guarantees a share increase; a competitor’s move can offset yours entirely.
❓ FAQs
🔐 Do I need Brand Registry to use Search Query Performance?
Yes. Brand Analytics, including Search Query Performance, is available to sellers enrolled in Amazon Brand Registry. Without it, use Sponsored Products search term reports for query-level data on your own ASINs.
📉 Why do the numbers not match my Business Reports?
They measure different things. Search Query Performance is organized around search queries and includes marketplace-wide totals; Business Reports is organized around sessions and page views for your ASINs. Use them together rather than expecting them to reconcile.
⏱️ How fresh is the data?
There is a processing lag before a completed period appears, and the exact delay can change. Check the most recent available period in the report itself rather than assuming yesterday’s activity is included.
🆚 Is this better than a third-party keyword tool?
It is different. Third-party tools estimate volume across a broad universe of terms and often surface competitor keywords. Search Query Performance reports observed behavior on queries where your brand actually appeared. Use the paid tools for discovery and this report for verification and prioritization.
🧩 A query has huge purchase volume but my share is near zero. Is that an opportunity?
Only if the query genuinely describes your product. Near-zero share on a relevant, high-purchase query usually means weak relevance signals or no ad presence there — both fixable. Near-zero share on a query that describes a different product is not an opportunity, and forcing it into your listing risks poorly converting traffic.