What problem does it solve?
The skill transforms noisy search term reports into actionable negative keyword taxonomies and query-to-intent mappings to stop wasted ad spend and improve campaign alignment with buyer intent.
Core Features & Use Cases
- Search Term Analysis & Clustering: Large-scale mining of search term reports with n-gram frequency analysis and query clustering by intent to surface recurring waste and opportunities.
- Negative Keyword Architecture: Build tiered negative lists (account, campaign, ad group), detect conflicts, and implement query-sculpting strategies to prevent internal competition.
- Intent Classification & Match-Type Optimization: Map queries to informational/commercial/transactional intent, audit broad/phrase/close-variant behavior, and recommend match-type adjustments.
- Opportunity & Waste Identification: Flag zero-conversion high-spend queries, isolate high-CPC low-value queries, and surface new high-potential keywords from converting search terms.
- Use Case: Run a weekly search term audit to remove irrelevant spend from broad-match queries, deploy shared negatives to reduce leakage, and expand high-converting long-tail queries into targeted campaigns.
Quick Start
Analyze the attached search term report and return a prioritized negative keyword list, intent-classified query clusters, and recommended match-type changes.
