Amazon Search Query Performance: The Report That Finds Lost Sales

The report most sellers never open

Search Query Performance sits inside Brand Analytics, and it is the closest thing Amazon gives sellers to a mirror of true shopper demand. Most operators live inside the advertising console, which only ever shows the slice of queries their ads touched. That view is blind to organic demand and blind to the queries where a competitor quietly takes the sale. Search Query Performance closes that gap because it reports the entire query, paid and organic combined, and shows your brand share at every step of the funnel.

The funnel it exposes

For each search query, the report breaks the journey into stages: total search query volume, impressions, clicks, cart adds and purchases. Crucially, at each stage it shows two numbers, the total across all brands and your brand share of that total. So you can see that a query drove, say, 50,000 impressions, that you captured a healthy slice of those impressions, and then that your share collapsed at the purchase stage. It also reports the median price at click and at purchase, which tells you the price point shoppers actually converted at.

That share-by-stage structure is the entire value. A single conversion percentage hides where you lose. This report shows you the exact rung of the ladder where shoppers stop choosing you.

Reading the four leak patterns

Once you can see share at each stage, four diagnostic patterns emerge, and each points to a different fix.

• Low impression share on a high-volume query means a visibility problem. You are not ranking and not bidding enough. The fix is relevance and advertising, not the detail page.
• Strong impression share but weak click share means your main image, title or price in the search grid is losing the beauty contest. Fix the thumbnail and the price shown in results.
• Good click share but weak cart add share means the detail page is not closing. Look at reviews, A+ content, pricing versus the median purchase price, and delivery promise.
• Healthy cart adds but poor purchase share often signals a buy box, stock or last-step price issue where a cheaper or Prime-faster offer wins at checkout.

Notice how each pattern sends you to a specific lever. Without this report, a flat conversion number would have you guessing across all of them at once.

An India-specific read

The median price at purchase column is quietly powerful in the Indian market, where price sensitivity is sharp and a difference of forty or fifty rupees changes the winner. If your median price at click is well above the purchase median for a query, shoppers are looking at you and buying cheaper. That is not a content problem you can write your way out of. It is a pricing and cost-structure conversation. Equally, watch how brand share moves after a festival event, because demand mix on generic queries shifts hard during Great Indian Festival weeks and a query that looks weak in October may be perfectly healthy the rest of the year.

From brand view to the exact ASIN

The brand-level report tells you which query is leaking. The linked Search Catalog Performance view lets you attribute that leak to a specific ASIN, showing impressions, clicks and purchases for your listings against a given query. This is how you avoid the trap of optimising the whole brand when a single underperforming child ASIN is dragging the number. Trace the weak query to the SKU, then apply the fix to that SKU alone.

Turning the data into a work queue

The report is only useful if it changes what you do on Monday. Build a simple ranked list. Pull your top queries by volume, mark the stage where your share falls off, and assign each to the right owner: advertising for impression gaps, creative for click gaps, catalog and reviews for cart gaps, and pricing or operations for purchase gaps. Prioritise queries that are both high volume and where a share point is worth the most units. A two point purchase-share gain on your biggest query beats a ten point gain on a query nobody searches.

Review it on a weekly cadence right after you make a change so you can see the funnel move, and on a quarterly cadence to judge whether a query is structurally growing or fading. A query losing total volume quarter on quarter may not be worth defending even if your share there is poor.

Advertising reports flatter you because they only show the game you chose to play. Search Query Performance shows the whole market for a query and your honest place in it. That is uncomfortable and useful in equal measure. It replaces the vague instinct that you are losing sales somewhere with a precise map of which query, which stage and which ASIN. For a marketplace team, that precision is the difference between spending effort and spending it where it converts.