Amazon Search Query Performance Dashboard Explained

Quick answer: Amazon's Search Query Performance dashboard shows how customer search queries move through a funnel of impressions, clicks, cart adds, and purchases, plus a brand's share of each action. Low impression share points toward relevance or visibility. Strong impressions but weak clicks point toward search-result appeal. Strong clicks but weak cart adds point toward detail-page friction. Strong cart adds but weak purchases point toward price, delivery, or availability loss.

A brand owner believed her listing had a traffic problem. Sales were flat, Sponsored Products costs were rising, and the main keyword felt more competitive every week. Search Query Performance told a different story: impression share was respectable, click share was reasonable too, and the collapse happened later, between cart add and purchase. She'd been preparing to rewrite the title and double bids. Neither was the first move. The product was being discovered and considered, then losing the final decision on price, delivery, or offer quality.

What the dashboard is designed to answer

Search Query Performance, usually shortened to SQP, is a Brand Analytics dashboard for eligible brand representatives, focused on the query rather than only the product. For each important customer search, it can answer how much demand the query received, how often products from your brand appeared, how much click activity your brand received, and whether shoppers added to cart and purchased. This is first-party Amazon search data, valuable precisely because ordinary keyword tools estimate parts of this journey from external models.

The four-stage search funnel

The dashboard follows impressions, then clicks, then cart adds, then purchases. A loss at one stage doesn't automatically identify one cause.

Treat these as hypotheses, not verdicts.

Query score, volume, and share are not the same

Search Query Score ranks the important queries associated with the brand using a score derived from funnel performance, not an organic rank position. Search Query Volume reflects how often customers searched the query, and a high-volume query can still be commercially poor for your product. Brand or ASIN share measures the portion of a funnel action associated with your brand, and impression, click, cart-add, and purchase share answer different questions. A brand can have 12% impression share, 9% click share, 6% cart share, and 3% purchase share, and that downward staircase is more informative than total search volume alone.

The most useful calculation: stage retention

Click retention equals clicks divided by impressions. Cart retention equals cart adds divided by clicks. Purchase retention equals purchases divided by cart adds. For 20,000 brand impressions, 800 clicks, 160 cart adds, and 96 purchases: click retention is 4.0%, cart retention is 20.0%, purchase retention is 60.0%. The correct benchmark isn't a universal internet average, compare the same query over time, similar queries in the same category, and the ASIN's own baseline.

Why SQP does not match your PPC report

Seller forums repeatedly contain questions about SQP numbers that don't match advertising impressions, clicks, or sales. That mismatch is expected, since Search Analytics metrics aren't designed to reconcile with advertising dashboards. Advertising reports measure ad delivery and attributed actions under ad-reporting rules; SQP measures search-funnel activity under its own definitions. Instead of forcing equality, ask whether the direction is consistent, whether search click share rose after an ad change, and whether the campaign is buying demand the brand already owned. SQP is useful for evaluating market share in the search journey, not reconciling every ad invoice, an idea covered further in Amazon ads spending money but no sales.

A query opportunity framework

Classify each query into one of six groups. Defend: high purchase share, good profit, strategically important, protect stock and ad coverage. Grow visibility: high query volume, low impression share, but genuinely relevant, improve indexing and targeted advertising. Improve click appeal: good impression share, weak click share, test image, title, or price presentation. Improve conversion: good clicks, weak cart or purchase share, investigate the detail page and offer quality. Harvest carefully: high paid activity but poor total purchase share, reduce waste. Ignore: large volume but weak relevance, not every popular query deserves budget.

The "big keyword" trap

A premium stainless-steel lunch box has a broad query, "lunch box," with huge volume, but shoppers there mostly want children's boxes and low-price plastic products. The seller earns impressions and expensive clicks but few purchases. A smaller query, "stainless steel lunch box adult," may have one tenth of the volume and five times the purchase retention. SQP helps replace keyword vanity with query economics.

How to diagnose each funnel stage

For low impression share, check whether the query is genuinely relevant, whether the product is indexed and in stock, and whether visibility fell after a catalog change. For good impressions but weak clicks, compare main image, price, ratings, coupon, and delivery date against the search-result competition. For good clicks but weak cart adds, inspect whether secondary images answer size and compatibility questions and whether the Featured Offer is stable. For good cart adds but weak purchases, check whether delivery promise slowed, coupon disappeared, price changed in cart, or stock became unavailable, an idea covered further in Amazon sales dropped suddenly.

A weekly SQP working session

Don't stare at every query. Choose top revenue queries, fastest-rising queries, largest share losses, and queries receiving material ad spend. For each, record one action and one guardrail, so three simultaneous changes don't destroy the lesson learned from any one of them.

How SQP improves PPC decisions

Ask whether paid activity changes the whole query funnel. If ad spend rises and impression share rises but purchase share stays flat, the campaign may be buying visibility without winning customers. If click share rises while cart share falls, the ad may be reaching less-qualified traffic. Don't use SQP as a replacement for campaign reports, use it as market context, covered further in TACOS vs ACOS vs ROAS.

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EcomSanity doesn't currently import SQP metrics directly. Its role is connecting the query investigation to ASIN operations, after finding a weak query stage, checking the product's Buy Box percentage, conversion, sales velocity, and inventory days. A click-share gain on an ASIN with six days of stock may create a stockout rather than healthy growth, the dashboard finds the funnel leak, EcomSanity helps show whether the business can support the fix.