Amazon Search Query Performance, available through Brand Analytics for eligible brands, shows query-level shopping activity and your brand's or ASIN's share within the dashboard's defined scope. Use it to investigate where shoppers encounter, click, and purchase your products. Then use advertising reports to examine paid traffic and campaign controls.
The dashboards answer related but different questions. Search Query Performance is not a substitute for the advertising search term report, and its share metrics should not be described as a direct organic ranking or proof of paid incrementality. This guide explains a practical way to use both views without forcing incompatible denominators into a single performance claim.
Confirm eligibility, view, and reporting definitions
Amazon's Brand Analytics documentation describes access requirements involving a Professional selling account and the appropriate role for a brand enrolled in Brand Registry. Check the current requirements and your actual permissions. Confirm whether you are using Brand View or ASIN View and which marketplace and reporting period the export covers.
Read the dashboard's current definitions before interpreting counts, shares, or scores. Keep the export date and the selected view with the file. A brand-level share and one product's share answer different questions, while the query coverage may not represent every conceivable search on Amazon. The official documentation linked below provides the platform basis. Your analysis should state the scope it actually observes rather than turning a dashboard label into an unrestricted claim about the whole market.
Start with a specific commercial question
Choose a product group and a question that could change an action. Perhaps relevant queries generate exposure but a smaller share of purchases, or a product appears to rely on a narrow set of branded terms. Define why that matters to contribution, acquisition, or catalog development before exporting a large collection of keywords.
Use the dashboard to locate the pattern, then inspect the product and advertising context. A broad search theme may contain several distinct requirements that the offer serves differently. Our keyword research and match-type guide helps connect language to campaign controls. Avoid creating a new campaign for every query simply because it appears in the export. The useful output is a prioritized set of questions and tests, not a larger account whose extra entities have no clear commercial role.
Compare shares along the shopping path carefully
Inspect impressions, clicks, cart adds, and purchases within their defined dashboard scope. A decline between stages can suggest a question about relevance, offer quality, price, or availability. It does not by itself establish which factor caused the difference. Check the underlying counts so a small number of events does not create an exaggerated story.
For an illustrative reading, a product with meaningful impression share but weaker click share may deserve a review of its visible offer and query fit. If click share is stronger than purchase share, investigate the post-click experience and available variations. These are hypotheses, not automatic instructions to lower price or increase bids. The CTR guide and clicks-without-sales guide provide diagnostic workflows that keep the interpretation connected to the actual shopper requirement.
Keep query volume separate from your advertising traffic
Query-level volume and account advertising impressions have different scopes. Do not subtract paid clicks from a dashboard total and label the remainder organic without a validated definition and reconciliation method. Likewise, a larger share does not tell you the exact search position at which a shopper saw the product.
Use the advertising search term report to inspect paid query outcomes and the targets that generated them. Our search term report guide explains that review. Keep the two exports side by side with their definitions visible. Agreement between them can strengthen an investigation, while disagreement may reveal scope, timing, attribution, or product-selection differences. Resolve those possibilities before concluding that the account's reporting is broken or that a particular campaign is responsible for a market-share movement.
Connect the query to the product that can serve it
Read the query as a requirement for use, size, material, compatibility, quantity, or another buying attribute. Inspect the ASIN and variation the shopper can purchase. A product family can appear relevant while the specific available item fails to meet the requirement that attracted the click.
Review the offer, images, specifications, price, delivery, and stock. Assign listing or operational corrections to the team that owns them. The multi-ASIN guide explains why product grouping can conceal these differences. Avoid treating share data as a reason to target a term the product cannot credibly satisfy. Better visibility for an unsuitable offer can increase cost and expose the same mismatch to more shoppers without resolving the reason purchases lag behind clicks.
Prioritize opportunities using economics and confidence
Rank potential actions by product contribution, relevance, availability, and the strength of the evidence. A large query with weak product fit may be less attractive than a smaller, specific requirement the offer serves well. Query volume describes activity; it does not establish the amount of profitable demand the business can capture.
Estimate an affordable traffic range using the CPC forecasting guide. Check whether stock and fulfillment can support a test before allocating funds. Mark uncertain assumptions, including conversion expectations for a target the account has not previously served. Prioritization should make the commercial reasoning visible: why this query, why this product, what spending is approved, and what result would justify continuing. That is more actionable than sorting every row by volume and assuming the top of the list is the strategy.
Turn the finding into a bounded campaign test
Choose the smallest useful intervention: a relevant target test, a more suitable product selection, or a controlled offer improvement coordinated with the retail owner. Define the hypothesis, primary outcome, starting settings, spending allowance, and review condition. Keep unrelated changes stable where practical so the result remains interpretable.
The PPC experiment guide explains the difference between a practical comparison and a causal experiment. If advertising exposure and retail assets change together, document the combined intervention. Do not claim that a subsequent share increase proves the campaign caused incremental sales or improved organic rank. The evidence may support a narrower conclusion about observed query performance under the new conditions, with other factors still capable of influencing the result.
Review changes over comparable periods
Compare like periods and account for promotions, seasonality, stock interruptions, and product changes. Keep the same dashboard view and definitions. A share can rise while total query demand falls, so inspect both the share and the underlying activity before presenting a growth conclusion.
Review advertising outcomes alongside the share trend with attribution maturity understood. Explain differences rather than forcing them to agree. A campaign might gain attributed sales while the brand's broader query share remains flat, or the share could change during an unrelated retail promotion. Preserve the observation and its limits in the monthly report. This gives the business a usable record of what changed and prevents a single dashboard movement from becoming an unsupported explanation of the whole account.
Keep a query opportunity register
Maintain a short list containing the query theme, product, evidence, commercial rationale, proposed action, owner, and review date. Close items that no longer fit the offer or have already been tested. Keep inconclusive findings so the team does not repeatedly spend money rediscovering the same uncertainty.
Refresh the register when the catalog, price, or availability changes materially. A previously unsuitable query may become relevant after a genuine product change, while an established target may lose fit when the offer changes. The register should support those decisions without becoming a permanent list of keywords that must always receive spend. Query research earns its value when it leads to a useful product or advertising action that someone can assess.
Use share data as evidence within a wider diagnosis
Bring Search Query Performance, advertising reports, product context, and contribution assumptions together when reviewing an opportunity. Each view supplies part of the picture. Keep definitions and limitations visible so another person can reproduce the reasoning and challenge an uncertain conclusion.
PPC Amplify's account audit service connects account evidence to prioritized decisions. Search Query Performance can strengthen that work when it helps locate a real shopper or offer problem. Its role is to make the next investigation more precise, rather than promise a shortcut to rankings or convert every market-share movement into a campaign success claim.
