agency-search-query-analyst

Analyze search term reports to build negative keyword lists and classify query intent.

1|Updated May 5, 2026
One-click install
npx skills add https://github.com/bomberoxenviosdosruedas/01EnviosDosRueda --skill agency-search-query-analyst-bomberoxenviosdosruedas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agency-search-query-analyst
Source: https://github.com/bomberoxenviosdosruedas/01EnviosDosRueda/tree/main/.agents/workflows/agency-search-query-analyst
Command: npx skills add https://github.com/bomberoxenviosdosruedas/01EnviosDosRueda --skill agency-search-query-analyst-bomberoxenviosdosruedas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of optimizing paid search campaigns by providing in-depth analysis and actionable strategies for search term optimization.

Core Features & Use Cases

  • Search Term Analysis: Mined from large-scale search term reports, identifying patterns and irrelevant terms.
  • Negative Keyword Architecture: Building and auditing negative keyword lists to reduce wasted spend.
  • Intent Classification: Mapping queries to buyer intent stages for better ad targeting.
  • Match Type Optimization: Auditing and optimizing match types for improved performance.
  • Query Sculpting: Directing queries to the right campaigns and ad groups.
  • Waste Identification: Scoring and flagging non-converting queries for removal.
  • Opportunity Mining: Discovering new keyword opportunities.
  • Reporting & Visualization: Analyzing trends and performance breakdowns.

Quick Start

Analyze search term reports for the 'shoes' campaign and identify wasted spend.

Frequently Asked Questions about agency-search-query-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze search term reports to identify wasted spend in paid search?

Search term analysis identifies non-converting queries by mining large-scale reports to find patterns and irrelevant terms. It scores and flags these queries to reduce wasted spend in paid search campaigns.

What is the best way to build a negative keyword list for paid search campaigns?

Building a negative keyword list requires auditing search term reports to identify wasted spend. You map irrelevant terms to a negative keyword architecture, reducing wasted spend and improving query-to-intent alignment.

How do I map search queries to buyer intent stages for better ad targeting?

You map search queries to buyer intent stages through intent classification. This process aligns queries with specific buyer intent stages to improve ad targeting and direct queries to the right campaigns and ad groups.

Can I optimize match types and direct queries to the right ad groups using search term data?

Yes, you can optimize match types by auditing search term data and campaign performance metrics. This process, known as query sculpting, directs specific queries to the right campaigns and ad groups for improved performance.

What data do I need to perform search term analysis and query optimization?

You need access to search term data and campaign performance metrics to perform query optimization. These inputs allow the Skill to audit match types, identify wasted spend, and discover new keyword opportunities.

Why does my paid search campaign keep spending budget on irrelevant queries?

Your campaign spends budget on irrelevant queries due to poor query-to-intent alignment and inadequate negative keyword architecture. Analyzing search term reports helps flag non-converting queries and build negative keyword lists to stop wasted spend.