How do you find where an Amazon search query is losing sales?
Start with one brand-relevant query and compare its query volume, impressions, clicks, cart adds, and purchases over the same marketplace and period. The first material drop identifies whether to investigate discoverability, search-result appeal, product-page consideration, or checkout conversion before changing the listing or advertising.
Amazon Brand Analytics currently includes Search Query Performance and Search Catalog Performance dashboards. Amazon describes these reports as aggregated customer data for Brand Representatives, so use them to frame a diagnosis rather than treating every ratio as a directly attributable sale.
Build a query-level funnel record
- Query, marketplace, reporting period, brand or ASIN scope, and customer intent in one sentence.
- Query volume, impressions, clicks, cart adds, purchases, and the available brand or product shares.
- Price, coupon, Featured Offer, availability, delivery promise, rating, review count, and primary image at the time.
- Paid-search exposure, ranking changes, catalog edits, variation changes, and material competitor events.
- Suspected drop-off stage, proposed cause, one corrective action, success metric, and review date.
Translate each drop-off into a focused test
Low impression presence can point to relevance, indexing, catalog eligibility, availability, or insufficient visibility. Strong impressions with weak clicks shifts attention to the visible offer: main image, title, price, rating, delivery, and whether the product actually matches the query.
Healthy clicks with weak cart adds suggests unresolved product-page questions or an offer mismatch. Cart adds without purchases can involve price changes, delivery, stock, variation confusion, or checkout competition. Confirm live customer-facing conditions before editing content.
Use a controlled correction checklist
- Prioritize queries that are relevant, material, and commercially viable instead of chasing volume alone.
- Change one main cause or one coherent content package, and preserve the previous state.
- Keep inventory, price, promotion, and advertising stable when possible; log unavoidable changes.
- Measure the affected funnel stage plus contribution, returns, and total query outcomes after the change.
- Retain, reverse, or retest using a threshold written before the result is known.
Know who can access the data and what it cannot prove
Amazon currently says Brand Analytics requires a Professional selling account and a Brand Representative role for a brand enrolled in Brand Registry. Dashboard availability, fields, lookback windows, thresholds, and definitions can change by store and account.
Aggregated funnel movement does not prove why an individual shopper acted, and small samples can move sharply. Verify the live dashboard definitions, compare more than one period, and combine the report with listing history, advertising, inventory, returns, and profit evidence before making a large decision.