How to Use Amazon Search Query Performance Data to Find Missed Sales Opportunities

Amazon Search Query Performance is a Brand Analytics report that shows, for every search term, how shoppers move through impressions, clicks, cart adds, and purchases, along with your brand’s share at each step. 

Used well, it pinpoints exactly where you are losing sales in the funnel and what to fix to win them back. 

This guide shows you how to read it and act on it. Most sellers know which keywords matter to them. 

Far fewer know where, exactly, those keywords stop turning shoppers into buyers, and that blind spot is expensive, because a keyword can send you plenty of traffic and still leak sales at a stage you cannot see. 

Search Query Performance is the report that makes that leak visible.

It is also one of the most underused tools on Amazon, and according to Amalytix (2026), Amazon introduced the Search Query Performance report in Brand Analytics back in October 2022, yet many brands still never open it. 

That is a missed opportunity, because the data inside is first-party, keyword-level, and tells you precisely what to fix.

What Is the Amazon Search Query Performance Report?

The Amazon Search Query Performance report is a Brand Analytics dashboard that shows how shoppers interact with individual search queries, from the moment a term is searched through to a purchase. For each query, it reports the total marketplace activity, your brand’s activity, and your brand’s share of that activity.

Only brand-registered sellers can see it, so access depends on enrolling in Amazon Brand Registry. You will find it inside Seller Central under Brand Analytics, on the Search Query Performance dashboard, alongside related tools like the Search Catalog Performance report, which shows the same stages at the ASIN level.

The report covers a lot of ground, but it is not unlimited. According to Adbrew (2026), Amazon shares the top 1,000 ranked search queries for your brand, ranked by a blend of impressions, clicks, cart adds, and purchases. 

That is more than enough to find the queries where real money is slipping away, and if you want the wider context of how this fits with your other data, our guide to Amazon Brand Analytics covers the full toolkit.

How to Read the Search Funnel

Every query in the report breaks into four stages, which Steven Pope of My Amazon Guy memorably nicknamed ICAP: Impressions, Clicks, Add-to-carts, and Purchases. 

Shoppers move through them in order, and each stage shows a total count for the whole marketplace, your brand’s count, and your brand’s share.

Share is the number that matters most, and your brand’s purchase share on a query is your slice of all purchases that query drives across Amazon, not just your own sales. According to Amazon (2026), third-party sellers account for more than 60% of units sold, so every stage of every query is contested, and your share tells you how you are doing against everyone else fighting for the same shopper.

The trick is to read the stages as a funnel, not as separate numbers. A healthy query holds its share fairly steadily from impressions through to purchases. When your share drops sharply at one stage, that drop is the leak, and the stage where it happens tells you what to fix.

Finding Missed Sales Opportunities: The 4 Drop-Off Points

This is where the report earns its keep. Instead of guessing why a keyword underperforms, you find the exact stage where shoppers fall out and fix that specific thing. 

Here are the four patterns to look for and what each one means.

Impressions but Few Clicks

The pattern: your impression share is solid, but your click share is much lower. Shoppers are seeing you in the results and choosing someone else. The problem is almost never relevance at this point, since you are already showing up. It is that your result is not compelling enough to click.

The fix lives in what shoppers see before they click: your main image, your title, your price, your star rating, and any badges. 

Your main image carries the most weight, so a sharp, high-contrast image that reads clearly at thumbnail size is usually the highest-value change. Tightening how you optimise every listing element that appears in search is what lifts a weak click share.

A quick test: shrink your main image to the size it appears on a phone and ask whether you would stop scrolling for it. If a strong competitor sits next to you with a clearer image or more reviews, that gap is your missed opportunity on that query.

Clicks but Few Cart Adds

The pattern: shoppers click at a healthy rate, but your cart-add share falls off. They reached your listing and were not convinced enough to add the product to their cart. The click did its job; the product page did not.

This is a conversion problem, and the fixes sit inside the listing. Your secondary images, bullet points, A+ Content, and reviews all carry the weight here, because this is where a shopper decides whether your product solves their problem. Strengthening conversion rate on your listings is the direct lever, and stronger A+ Content often does the heavy lifting by answering objections before they stop the sale.

Look for queries with good click share but weak cart-add share, then open those listings and read them as a first-time buyer would. The gap between what they need to know and what the page tells them is the missed sale.

Cart Adds but Few Purchases

The pattern: shoppers add your product to their cart but do not check out, so your purchase share lags your cart-add share. They wanted it enough to cart it, then something stopped them at the final step. That something is usually price, shipping, or the Buy Box.

The fixes are commercial rather than creative. A sharper Amazon pricing strategy, a well-timed coupon, faster shipping, or simply holding the Buy Box can all recover these shoppers. If price is the sticking point, testing Amazon coupons on the affected queries is a low-risk way to see if a small discount closes the gap.

Do not overlook the Buy Box here. If you are losing it on a product, your cart adds can convert into someone else’s sale, so making sure you win the Buy Box protects the purchases you have already half-earned.

Low Impression Share (You’re Barely Showing Up)

The pattern: the query has real search volume, but your impression share is low. You are not losing shoppers later in the funnel, you are missing from the start. This is a discoverability problem, not a conversion one.

The fix is twofold. Organically, you need the query reflected in your title, bullets, and backend search terms so Amazon indexes and ranks you for it, which is the heart of Amazon SEO and listing optimization. On the paid side, you can buy visibility on high-value queries where your organic rank is still climbing, guided by proper Amazon PPC keyword research.

High-volume queries where competitors own most of the impression share are your biggest growth targets. 

They are proof of demand you are not yet capturing, which is the clearest kind of missed opportunity the report can show you.

Reading a Search Query Performance Row, Step by Step

Numbers make this concrete, so here is how to read a single query row. 

Imagine the query “stainless steel water bottle” and treat the figures below as your data for the week.

Say that query shows a healthy search volume, your impression share is 18%, your click share is 19%, your cart-add share is 11%, and your purchase share is 7%. Read those four numbers in order, and the story tells itself.

Your impression and click shares sit roughly level, so shoppers who see you are clicking at a normal rate, and that part of the funnel is fine. The sharp fall comes next: your click share of 19% drops to a cart-add share of 11%, which means plenty of shoppers reached your listing and left without adding it. 

That is a listing problem, so the fix belongs on the product page, not the search result.

Then watch the final step. Your cart-add share of 11% slips again to a 7% purchase share, a second, smaller leak at checkout that points to price, shipping, or the Buy Box. One row has handed you two prioritised fixes: tighten the listing first, since that gap is the bigger one, then test price or a coupon to recover the checkout drop. That is the whole method, repeated across your top queries.

Turning SQP Data Into SEO and PPC Decisions

Search Query Performance is the cleanest bridge between your organic and paid strategy, because it shows where you win for free and where you have to pay. Queries where you hold strong organic share need defending, not heavy ad spend. Queries where demand is high but your share is low are where paid visibility earns its keep.

That matters more every year as competition rises. According to Amazon’s Q2 2026 earnings (2026), its advertising revenue grew 26%, nearly double the growth of its online store, so spending blindly is more expensive than ever. SQP lets you aim ad budget at the exact queries where it will move the needle, instead of bidding on everything.

The data also sharpens your targeting. Queries with strong purchase rates are worth bidding up, while queries that drive clicks but no purchases are candidates for your negative keyword list. Feeding these decisions into a disciplined PPC strategy is how brands turn report data into profit rather than just insight.

Common Mistakes When Reading Search Query Performance Data

The report is powerful, but it is easy to misread, and the wrong read sends you chasing the wrong fix. 

These are the mistakes that cost sellers the most.

Reading a single week instead of a trend. One week can mislead, because a promotion, a competitor’s stockout, or ordinary noise can swing the numbers. Act on a share that moves consistently over several weeks, not a one-off dip.

Confusing count with share. A large raw purchase count can still hide a shrinking share if the whole query is growing faster than you are. Share tells you how you are doing against the market, which is usually the number that matters most.

Mixing up the brand and ASIN views. The report shows data at both brand level and ASIN level, and they answer different questions. Use the brand view for overall demand, and the ASIN view to find which specific product is leaking.

Chasing high-volume vanity queries. The biggest query is not always the best opportunity. A smaller, high-intent query where you convert well is often worth more than a huge one where you will never realistically hold share.

Changing everything at once. If you fix the image, the title, the price, and the bullets in the same week, you will never know which change worked. Run an Amazon listing audit and change one variable at a time so the data stays readable.

How Often to Review Your Search Query Data

Search Query Performance is not a report you read once. Amazon refreshes the data, shopper behaviour shifts week to week, and a new competitor entering a query can change your share overnight. A weekly download of your priority queries, tracking click share and purchase share over time, is the cadence that catches problems early.

Trends matter more than snapshots. A single week can mislead, but a share that slides over a month is a real signal worth acting on. Logging the data regularly turns a static report into an early-warning system for your funnel, which is exactly how the strongest brands use it.

Conclusion

Search Query Performance turns a vague feeling that a keyword is underperforming into a precise diagnosis. 

Read each query as a funnel, find the stage where your share drops, and you know exactly what to fix, whether that is your main image, your listing, your price, or your visibility. 

Done weekly, it becomes one of the most powerful free tools you have for recovering sales you did not know you were losing.

If you would rather have an expert mine this data and turn it into a plan, that is work AMZDUDES, a full-service Amazon agency, does every day, where one beauty and personal care brand grew from $1.45M to $2.61M in sales once its funnel leaks were found and fixed. 

We will review where your search funnel is leaking and how to close the gaps.

Book a free call with AMZDUDES

Frequently Asked Questions (FAQs)

What is the Amazon Search Query Performance report? 
It is a Brand Analytics report that shows how shoppers move through the search funnel for each query: impressions, clicks, cart adds, and purchases, with your brand’s share at every stage. It reveals where you lose sales and why. AMZDUDES uses it to diagnose exactly which stage of a funnel is leaking before recommending any listing or advertising change.

Who can access the Search Query Performance dashboard? 
Only brand-registered sellers can access it through Brand Analytics in Seller Central. If you are not enrolled in Amazon Brand Registry, you will not see the report, which is one more reason to register your brand. AMZDUDES helps brands enrol and then build a reporting routine around the data once access is in place.

How is Search Query Performance different from the Search Term Report? 
The Search Term Report shows the search terms that triggered your Sponsored Ads clicks, while Search Query Performance shows broader, marketplace-level funnel activity and your share of it at brand or ASIN level. One is for optimising ad spend; the other is for understanding demand and where you lose shoppers. Used together, they cover both paid and organic, which is how AMZDUDES approaches them.

How do I find missed sales in the report? 
Read each query as a funnel and look for the stage where your share drops sharply. A fall from clicks to cart adds points to a listing problem; a fall from cart adds to purchases points to price or Buy Box issues; a low impression share points to discoverability. Each drop is a specific, fixable missed opportunity, and matching the fix to the stage is the whole skill.

How often should I check Search Query Performance data? 
Weekly for your priority queries. Amazon refreshes the data and shopper behaviour changes quickly, so trends over several weeks tell you far more than a single snapshot. Tracking click share and purchase share over time turns the report into an early-warning system, which is the routine AMZDUDES sets up for the brands it manages.

Can Search Query Performance data improve my PPC campaigns? 
Yes. It shows which queries convert well, which deserve higher bids, and which drive clicks without purchases and belong on a negative keyword list. It also reveals high-demand queries where your organic share is weak, which are prime paid-visibility targets. Feeding this into your campaigns, as AMZDUDES does, makes ad spend far more precise.