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search-term-mining

Review Google Ads search term reports to find converting queries without dedicated keywords. Group opportunities by theme and estimate volume and cost per conversion, with suggested matching settings, starting bids, and exclusions to reduce overlap.

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Analyzes your search term reports across all campaigns and surfaces high-intent terms you're not bidding on yet. Groups them by theme, estimates their potential volume and CPA, and recommends match types and starting bids for each. Platform: Google.

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适用场景

  • Monthly reviews to expand advertising keywords
  • Finding keyword opportunities when search campaign growth stalls
  • Exploring search demand after a product or feature launch
  • Reviewing overlooked search terms in an inherited account

包含的文件(1)

  • SKILL.md2.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

7/ Search Term Mining — Google

What it does

Analyzes your search term reports across all campaigns and surfaces high-intent terms you're not bidding on yet. Groups them by theme, estimates their potential volume and CPA, and recommends match types and starting bids for each.

How it works

Claude processes your search term data over a 30-90 day window, identifies converting terms that are currently matched through broad or phrase but don't have dedicated keywords, and separates them from noise. It also finds patterns — clusters of related terms that suggest new ad group or campaign opportunities you're missing.

Practical example

Across your SaaS client's 8 search campaigns, Claude finds 67 converting search terms that don't have exact match keywords. It groups them into 5 themes: integration-specific queries (Salesforce, HubSpot), use-case queries (lead scoring, pipeline tracking), comparison queries (vs Competitor X), pricing queries, and enterprise-specific terms. Each group comes with estimated monthly volume, current CPA from broad match, and recommended starting bids.

What you get back

  • Keyword opportunities grouped by theme with volume estimates
  • Current performance data for each term (impressions, clicks, conversions, CPA)
  • Recommended match type and starting bid for each new keyword
  • New ad group or campaign structure suggestions based on term clusters
  • Negative keyword recommendations to prevent overlap with existing campaigns

When to use it

  • Monthly keyword expansion reviews
  • When search campaigns plateau and you need new growth vectors
  • After launching a new product or feature that creates new search demand
  • When onboarding a new account to find what the previous team missed

Data access (Ryze MCP)

This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:

  • claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → https://connector.get-ryze.ai/mcp
  • Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
  • Cursor: Settings → MCP → add the same URL

Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

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