Amazon Search Query Performance Report: How to Read Your Share of Demand

Amazon's Search Query Performance (SQP) report is the Brand Analytics view that answers a question your Ads console cannot: for a real shopper query, how much of the marketplace's impressions, clicks, cart adds, and purchases did your brand or ASIN capture — organic and sponsored together? It is a share-of-demand report, not a campaign performance report. For a $100K–$10M brand, that distinction is the difference between "our ACoS looks fine" and "we own 4% of purchases on the query that drives half the category."

This guide is how we read SQP inside Amazon marketplace ops: which queries matter, where the funnel narrows, and which lever — listing, attributes, inventory, or structured PPC — actually matches the gap. Pair it with SPAG campaign structure and TACOS instead of ACoS alone so the report turns into weekly work, not a downloaded curiosity.

What Search Query Performance actually is

SQP lives under Seller Central → Brands → Brand Analytics → Search Query Performance (exact labels can shift slightly by marketplace and UI refresh). It is part of Brand Analytics, so the usual access pattern is: a Professional selling plan, Brand Registry enrollment for the brand, and a user role that can open Brand Analytics (commonly Brand Representative). Without Brand Registry, you will not see this report — that alone is a reason mid-market brands treat registry as an ops unlock, not a badge.

For each search query in scope, Amazon reports:

• Search query volume (and a search query score / rank among queries for the view you selected)
• Impressions — marketplace total for the query, your ASIN or brand count, and impression share
• Clicks — totals, rates where provided, your count, and click share, plus median click price context
• Cart adds — same share pattern
• Purchases — same share pattern, with median purchase price context

Amazon also exposes shipping-speed breakouts on some stages (same-day / one-day / two-day counts on clicks, cart adds, and purchases in the Selling Partner API shape of the report). That matters when your share collapses only on purchase while faster-shipping offers win the same query.

Share in SQP

At each funnel stage, your share is your brand or ASIN count divided by the query's total count for that stage. Ten purchases out of 100 marketplace purchases on that query is a 10% purchase share.

Reporting periods are WEEK, MONTH, or QUARTER. Requests do not span mixed periods — a weekly pull must sit inside one Sunday–Saturday week. Use weekly for hero-ASIN triage, monthly for brand portfolio reviews, and quarterly when you need less noise for board-level share trends.

SQP vs the Ads search term report

Operators mix these up constantly because both mention "search terms." They answer different questions.

| Report | What it counts | Spend / ROAS? | Best question it answers | | --- | --- | --- | --- | | Search Query Performance | Search-results funnel for a query: impressions → clicks → cart adds → purchases, with your share | No | Which queries are we under-owning, and where does our share drop? | | Ads search term report | Terms that triggered at least one ad click, with spend and ad-attributed sales | Yes | Which paid terms earn their keep? | | Search Term / Brand Analytics (other) | Broader catalog and search insights depending on the specific Brand Analytics module | Varies | Context — not a substitute for SQP's four-stage share chain |

SQP includes organic and sponsored search activity in the funnel counts. It does not tell you how much you spent, which campaign bought the click, or what your ACoS was. If impression share is thin and you decide to buy visibility, you still need the Ads search term report (and a clean SPAG structure) before you raise bids. If click share is thin while impression share is healthy, more spend on the same creative often just buys expensive proof that the listing thumbnail and title are losing the result page.

How to read the four-stage funnel

Treat the stages as a chain. Each share is only meaningful relative to the stage above it.

Impression share — "Do we show up?"

Low impression share on a high-volume query means Amazon is not putting your ASIN in front of that demand often enough — organic rank, index gaps, suppressed listings, wrong browse node, thin relevance signals, or simply being out-advertised on the results page. Before you blame ads, confirm the ASIN is fully indexed for the query language you care about, the browse tree placement is correct, and backend attributes that define the product type are populated. Rufus-era discovery still leans on structured facts; a blank attribute set is a visibility tax. See backend attributes and listing optimization for Rufus.

Click share vs impression share — "Does the result earn the click?"

If impression share is respectable but click share lags, shoppers see you and choose someone else. That is almost always a search-results creative problem: main image, title clarity, price perception in the snippet, badge density (Prime, deals), review star and count, or a competitor with a sharper benefit line. This is not the moment to rewrite A+ first — A+ sits below the fold after the click. Fix the square that wins the click.

Cart-add share vs click share — "Does the detail page hold them?"

Clicks that do not become cart adds point at the PDP: bullets that do not answer the query intent, missing structured attributes, weak or contradictory A+, thin review evidence, or a price/availability shock after the click. Run the same questions shoppers type into Rufus against your page — the Rufus test is the qualitative twin of this SQP drop.

Purchase share vs cart-add share — "What dies at checkout?"

Cart adds that do not convert into purchases often implicate price, stockouts, shipping speed, coupon stacking from competitors, or offer health (Buy Box / Featured Offer volatility). SQP's shipping-speed breakouts help here: if the query's purchases skew heavily to one-day and two-day offers and your cart-adds are slower-shipping FBM, the report is telling you a logistics story, not a bullet-copy story.

A weekly workflow mid-market brands can actually run

You do not need a data science team. You need a repeatable Friday (or Monday) ritual on the ASINs that pay the rent.

1. 1

   Export the right window

   Pull SQP for WEEK on your top 5–10 ASINs by trailing-90-day revenue. Keep the period aligned to full weeks so comparisons are clean.

2. 2

   Rank queries by opportunity, not vanity

   Sort by search query volume, then flag rows where purchase share is materially below impression share — or where impression share itself is thin on a must-win query.

3. 3

   Tag each gap with one primary lever

   Visibility → index, category, attributes, organic rank, or paid coverage. Click → image/title/price/reviews on the SERP. Cart → PDP content and proof. Purchase → price, stock, shipping, offer.

4. 4

   Cross-check paid terms before you scale spend

   Open the Ads search term report for the same ASINs. Only raise bids where SQP says the demand is real and the listing can hold a click. Structure campaigns so one ASIN owns its terms — SPAG keeps that attribution honest.

5. 5

   Log the change and re-check next week

   One change per gap per week beats five simultaneous edits you cannot attribute. Re-pull the same week-over-week comparison after the listing or bid change has had time to index.

What "good" looks like in practice

There is no universal "you need 20% purchase share" rule — category concentration differs wildly. What you can demand of the account is consistency of diagnosis:

• Hero ASIN on its primary exact query: impression share and purchase share should not diverge for months without a documented reason (stockout, price war, suppressed listing).
• Flanker ASINs: expect lower share on head terms; use SQP to find the mid-tail queries where purchase share already punches above impression share — those are often your cheapest growth lanes.
• Account health: if TACOS is rising while SQP purchase share on non-branded head terms is flat, you may be buying back demand you already owned organically — the exact failure mode TACOS measurement exists to catch.

Three patterns we see on $100K–$10M catalogs

Pattern 1: High impression share, low click share on a hero exact match

A home-goods brand shows ~18% impression share on "walnut nightstand 2 drawer" but ~7% click share. Ads were already spending into the term. The fix was not another $2,000 in Sponsored Products — it was a main-image reshoot that showed the drawer count and finish in the first square, plus a title that led with the exact attribute shoppers filtered for. Click share moved first; purchase share followed without a bid increase.

Pattern 2: Healthy clicks, collapsing cart-adds

An electronics accessory ASIN won clicks on a compatibility-heavy query, then lost them on the PDP. SQP showed click share near impression share and cart-add share roughly half of click share. The listing talked "fits most models" in prose; the backend compatibility fields were half empty. Filling the structured compatibility attributes — the same discipline as Rufus listing work — closed the cart-add gap because the detail page finally answered the query that earned the click.

Pattern 3: Cart-adds without purchases during a freight delay

A brand's purchase share on its top three queries dipped for two consecutive weeks while cart-add share held. Inventory was "available" as FBM with longer transit after an FBA replenishment miss. SQP's purchase stage and shipping-speed context made the ops issue visible before the team blamed creative. The listing did not need a rewrite; the inbound PO did.

None of these are anonymized client case claims with guaranteed lifts — they are the diagnostic patterns the report is built to surface. Your numbers will differ; the method should not.

How SQP connects to Rufus and AI shopping

SQP is still a search-results funnel report. It does not replace asking Rufus category questions out loud. But the queries that show high volume in SQP are a ready-made script for the Rufus test: if shoppers type it into Amazon search at scale, assistants will face versions of the same intent. When your purchase share is weak because attributes are blank, you are losing both classic search conversion and machine-readable evidence for AI answers in one stroke.

Use SQP to prioritize which attributes and bullets to fix first — the ones tied to high-volume queries where your share collapses after the click — instead of enriching the catalog in alphabetical order.

Common mistakes that waste the report

1. 1Optimizing to share % without volume. Chasing a 40% share on a tiny query while ignoring 5% share on a head term that moves the P&L.
2. 2Treating SQP like a bid tool. Raising bids because purchase share is low, when click share shows the listing cannot win the result page.
3. 3Only looking at brand rollup. One dying hero ASIN can be invisible inside a calm brand average.
4. 4Changing title, price, and bids in the same week. You learn nothing; SQP cannot attribute the move.
5. 5Ignoring stock and offer health. Purchase-stage losses get misread as "conversion copy" problems for months.
6. 6Skipping the Ads cross-check. SQP without spend data encourages either under-investing in real demand or pouring budget into queries the PDP cannot close.

What to do this week

Open Search Query Performance for your top ASIN. Pick the highest-volume query where purchase share is clearly below impression share. Write one sentence naming the stage that drops and one action that matches that stage — not three actions. If the drop is visibility or PDP proof, a listing audit that includes attributes, browse node, and Rufus-readiness will usually beat another week of bid tweaks. If the drop is purchase-only, check inventory, shipping speed, and Featured Offer stability before you rewrite a single bullet.

Related reading in this cluster: SPAG structure, TACOS vs ACoS, and Amazon listing optimization for Rufus.