Comprehensive Google Ads account health analysis detecting wasted spend, search term leaks, negative keyword gaps, bid strategy issues, and Quality Score problems. Use when analyzing campaign data, pasting Google Ads exports, reviewing account performance, or requesting a full diagnostic of advertising spend efficiency. Platform: Google.
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Review the instructions the agent will receive before you install.
Perform systematic account analysis to identify optimization opportunities and wasted spend.
| Metric | Target | Red Flag |
|---|---|---|
| Non-brand QS | ≥7 | <5 |
| Brand QS | 10 | <8 |
| CTR | ≥1.5% | <1% |
| Conversion Rate | ≥8% | <3% |
| Search Impression Share | >80% (priority) | <50% |
## Google Ads Audit Summary
**Account Health Score**: [X/100]
**Analysis Period**: [Date Range]
**Total Spend Analyzed**: $[Amount]
### 🔴 Critical Issues (Immediate Action)
1. [Issue] - Est. Wasted Spend: $[X]/month
- Action: [Specific fix]
### 🟡 Optimization Opportunities
1. [Opportunity] - Potential Impact: [X]%
- Action: [Specific fix]
### 🟢 What's Working Well
- [Positive finding]
### Priority Action Plan
| Priority | Action | Impact | Effort | Est. Savings |
|----------|--------|--------|--------|--------------|
| 1 | | High | Low | |
### Confidence Level: [HIGH/MEDIUM/LOW]
[Reasoning for confidence assessment]
Input: "Here's my campaign data: Brand campaign $5K/month, 3.2% CTR, QS 9. Non-brand: $15K/month, 0.8% CTR, QS 4, 500 search terms with 0 conversions spending $3K"
Output:
## Google Ads Audit Summary
**Account Health Score**: 45/100
**Total Spend Analyzed**: $20,000/month
### 🔴 Critical Issues
1. **Non-brand Quality Score critically low (4)** - Est. Wasted Spend: $4,500/month
- Action: Improve ad relevance, tighten keyword-ad group themes, review landing pages
2. **Search term waste ($3K on zero-conversion terms)** - Est. Wasted Spend: $3,000/month
- Action: Add negative keywords, pause low-performing exact matches
### Priority Action Plan
| Priority | Action | Impact | Effort | Est. Savings |
|----------|--------|--------|--------|--------------|
| 1 | Add negative keywords for 0-conv terms | High | Low | $3,000/mo |
| 2 | Restructure ad groups (SKAG/STAG) | High | High | $2,000/mo |
### Confidence Level: HIGH
Complete data provided for key metrics.
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:
https://connector.get-ryze.ai/mcpclaude mcp add ryze --transport http https://connector.get-ryze.ai/mcpSetup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp
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Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation. Use when feeding test results, checking statistical significance, calculating sample sizes, analyzing experiment outcomes, or generating next test ideas based on results. Platform: Google and Meta.
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Designs statistically valid split tests for ads, audiences, landing pages, or bid strategies. Calculates required sample sizes before you start, monitors results during the test, and calls winners when statistical significance is actually reached — not when you feel like one is winning. Platform: Google and Meta.
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Evaluates your campaign and ad set structure against your actual goals and budget. Flags over-segmentation that fragments your data, under-segmentation that hides performance differences, budget allocation issues, and consolidation opportunities that would improve algorithmic delivery and your ability to optimize. Platform: Google and Meta.
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Analyzes your top performing ads, identifies what's working in the hooks, CTAs, messaging angles, and formats, then generates new variants that follow the same winning patterns while introducing enough variation to test meaningfully. Platform: Google and Meta.
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Reviews all your Google Ads extensions — sitelinks, callouts, structured snippets, call extensions, image extensions, price extensions — across every campaign. Flags what's missing, what's underperforming, what's outdated, and writes replacements based on your best performing ads and landing pages. Platform: Google.
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Multi-channel budget optimization using MER, marginal ROAS, and diminishing returns analysis. Use when pasting multi-channel spend and results data, requesting reallocation recommendations, analyzing budget shift priorities, or optimizing marketing efficiency across Google, Meta, TikTok, and other channels. Platform: Google and Meta.
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