An Amazon search term report shows the shopping queries or eligible contexts that delivered ad traffic and the resulting performance. Use it to assess relevance, test promising targets, adjust bids, or exclude unsuitable demand. Connect each change to the advertised product and the reporting window.
Amazon notes that its Sponsored Products search-term report includes terms with at least one click. It can also show inferred context in non-search placements. Treat it as evidence about traffic that served, rather than a complete inventory of shopper demand.
Choose a reporting window for Amazon search term analysis
Keep marketplace, currency, campaign type, date range, and attribution definitions consistent. Recent activity can continue to receive attributed conversions. Flag immature days instead of comparing them directly with fully developed older periods.
Save the unedited export before grouping rows. Retain campaign, ad group, target, match type, promoted product where available, spend, clicks, orders, and sales. Preserve ASIN-like entries so they can be evaluated as product contexts rather than discarded as unusual words.
Classify shopper intent in the search term report
Separate own-brand terms, generic product needs, competitor or product contexts, and incompatible intent. A query containing a brand and a size requirement may need a different interpretation from a broad category query. Check the product behind the result.
For an illustrative reusable-bottle catalog, a spare-lid query could be useful only to an accessory SKU. A campaign average would hide that distinction. The branded traffic guide explains why intent groups deserve separate measurement.
Prioritize search terms using product economics
The highest-spend row is not automatically the first thing to pause. Compare cost with the product contribution and the amount of evidence. One expensive click and a repeatedly loss-making query need different responses.
Use a break-even ACoS estimate as one boundary, with an explicit learning allowance where appropriate. With no attributed sales, ACoS is not a useful finite ratio. Inspect spend, relevance, clicks, and product economics instead of applying a percentage rule that cannot be calculated.
- Identify unsuitable intent.
- Flag useful queries lacking deliberate control.
- Investigate relevant traffic with weak conversion.
- Keep an observation bucket for insufficient evidence.
Turn search term findings into a documented change set
Assign each reviewed item an owner and an action. Possibilities include a manual keyword test, a product-targeting test, a bid review, a detail-page review, or an exclusion. Save the change log alongside the report so the next review can explain what happened.
Revisit total spend and orders as well as edited rows. A negative-keyword decision should remove unsuitable traffic without quietly removing useful demand. Consider reporting maturity and any simultaneous price, stock, or promotional changes when interpreting the result.
Connect the query, product, economics, and next action. Preserve uncertainty where the evidence is thin, and make the changes you can explain.
