agency-search-query-analyst

To map search terms to buyer intent, you cluster query data from search term reports into a predefined intent taxonomy, then score and align those queries with matching campaigns and landing pages to isolate high-intent traffic.

Building a negative keyword taxonomy requires analyzing large-scale search term reports to identify irrelevant queries, then structuring those negatives across account, campaign, and ad group levels to systematically reduce wasted ad spend.

Yes, applying a scoring framework to your search term reports identifies intent gaps by highlighting queries that fail to align with your active campaigns or landing pages, revealing missed opportunities for high-intent traffic.

Yes, a scoring framework is required to objectively align queries with campaigns and landing pages. It enables consistent intent mapping across large-scale search term data to accurately separate high-intent traffic from wasted spend.

You should apply search term analysis during monthly or weekly reviews. This ongoing optimization workflow ensures your negative keyword taxonomies and intent mapping stay aligned with active campaign performance and landing pages.