Search-term review requires understanding the buyer, not just judging whether a phrase resembles your preferred product language. Customers often describe a need differently from the company selling the solution.
I would separate clear mismatches from ambiguous opportunities. The first can justify an exclusion. The second deserves investigation using intent and customer outcomes.
Classify the buying need
Group reported queries by what the searcher appears to be trying to accomplish: solve a problem, find a product, compare alternatives, understand a topic, or reach a specific company. Add a confidence note where the wording is ambiguous.
Then compare the intent with what the business actually offers. A related subject can be irrelevant to the offer. An unfamiliar phrase can still represent a valuable customer.
Add outcome evidence
Review spend and available conversion data, then connect to lead quality or customer outcomes where possible. Keep recent unresolved leads separate from mature outcomes. A query with few clicks provides limited evidence about commercial performance.
Google’s search terms documentation explains the report and its reporting limits. The visible rows should not be treated as a complete census of every search interaction.
Use four actions
| Finding | Action |
|---|---|
| Clearly outside the offer | Consider a carefully scoped exclusion |
| Relevant intent with good outcomes | Preserve and investigate expansion |
| Relevant intent with poor progression | Inspect the offer, page, and follow-up |
| Unclear intent or insufficient evidence | Research and observe before a broad change |
Record the reason
For an exclusion, state the mismatch and intended scope. For an expansion, state the evidence and next test. That record makes later review possible and helps prevent an automated process from repeating a mistaken classification.
A hypothetical project-management product might attract searches about a particular team workflow. The absence of the product category in the query is not, by itself, a reason to block it.
Check the consequence after changing
Review what demand disappears and whether relevant traffic is affected. Exclusion quality should be judged by the business outcome, not by the number of negatives added.
Use the negative-keyword review for scope and matching considerations. Good query analysis should teach the company how customers think while improving where money is spent.
Co-founder and CEO of Stackmatix, startup advisor, and former Head of Sales at MightyHive. Connect with Matt on LinkedIn ↗ · More about Matt →