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Ad Copy Performance Ranker

Analyzes RSA ad performance using Google Ads MCP data. Ranks headlines and descriptions by effectiveness, identifies winners/losers, and provides creative optimization recommendations. Triggers when user asks about ad copy performance, RSA analysis, or wants to improve ad creative. Pulls live data via ad_group_ad action.

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Ad Copy Performance Ranker
SKILL.md
HOW_TO_USE.md
sample_input.json
expected_output.json
skillsgoogle-adsSKILL.md
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# Ad Copy Performance Ranker
 
Find your winning headlines and descriptions. Kill the losers. Write better ads based on what actually works.
 
## Core Philosophy
 
**Not all headlines are equal.** Google's RSA system tests combinations, but you need to know which assets are carrying the weight and which are dragging you down.
 
**The Ad Copy Questions:**
1. Which headlines/descriptions are driving clicks and conversions?
2. Which assets should be replaced?
3. What patterns make winning copy?
4. Is my ad strength helping or misleading me?
 
---
 
## MCP Integration
 
### Required Data Pull
 
Use the Google Ads MCP `ad_group_ad` action with this GAQL query:
 
```
SELECT
campaign.id,
campaign.name,
ad_group.id,
ad_group.name,
ad_group_ad.ad.id,
ad_group_ad.ad.type,
ad_group_ad.ad.responsive_search_ad.headlines,
ad_group_ad.ad.responsive_search_ad.descriptions,
ad_group_ad.ad.responsive_search_ad.path1,
ad_group_ad.ad.responsive_search_ad.path2,
ad_group_ad.ad.final_urls,
ad_group_ad.ad_strength,
ad_group_ad.status,
ad_group_ad.policy_summary.approval_status,
metrics.impressions,
metrics.clicks,
metrics.conversions,
metrics.cost_micros,
metrics.ctr,
metrics.conversions_from_interactions_rate
FROM ad_group_ad
WHERE ad_group_ad.ad.type = 'RESPONSIVE_SEARCH_AD'
AND ad_group_ad.status != 'REMOVED'
AND segments.date BETWEEN '{start_date}' AND '{end_date}'
ORDER BY metrics.impressions DESC
```
 
### Data Requirements
 
**From MCP Response:**
- `ad_group_ad.ad.responsive_search_ad.headlines` - Array of headline assets
- `ad_group_ad.ad.responsive_search_ad.descriptions` - Array of description assets
- `ad_group_ad.ad_strength` - EXCELLENT, GOOD, AVERAGE, POOR
- `metrics.impressions`, `metrics.clicks`, `metrics.conversions`
- `metrics.ctr`, `metrics.conversions_from_interactions_rate`
 
**Note on Asset-Level Performance:**
Google Ads API provides ad-level metrics, not individual headline/description performance. For asset-level data:
- Use Google Ads UI "View asset details" report
- Analyze patterns across ads that share similar headlines
- Compare ad strength vs actual performance
 
**User Should Provide:**
- Target metrics (CTR benchmark, conversion rate benchmark)
- Date range (default: last 30 days)
- Industry/vertical for context
 
---
 
## Analysis Framework
 
### Tier 1: Ad-Level Performance
 
**Ad Performance Ranking:**
 
| Tier | CTR vs Avg | CVR vs Avg | Assessment |
|------|------------|------------|------------|
| Star | +20%+ | +20%+ | Study and replicate |
| Above Avg | +10-20% | +10-20% | Solid performer |
| Average | Β±10% | Β±10% | Room to improve |
| Below Avg | -10-20% | -10-20% | Needs attention |
| Underperformer | -20%+ | -20%+ | Replace or revise |
 
---
 
### Tier 2: Ad Strength Analysis
 
**Ad Strength Reality Check:**
 
| Ad Strength | What Google Says | What Actually Matters |
|-------------|------------------|----------------------|
| EXCELLENT | Optimal setup | May or may not perform |
| GOOD | Meets requirements | Usually acceptable |
| AVERAGE | Missing elements | Check performance data |
| POOR | Needs work | Fix if data agrees |
 
**Key Insight:** Ad Strength β‰  Performance. An "Excellent" ad can underperform a "Good" one. Always prioritize actual metrics over ad strength scores.
 
---
 
### Tier 3: Headline Pattern Analysis
 
**Winning Headline Patterns to Look For:**
 
| Pattern | Example | Why It Works |
|---------|---------|--------------|
| Benefit-First | "Save 50% Today" | Immediate value |
| Action-Oriented | "Get Your Free Quote" | Clear CTA |
| Social Proof | "Trusted by 10,000+" | Credibility |
| Urgency | "Limited Time Offer" | FOMO |
| Question | "Looking for [X]?" | Relevance |
| Specificity | "24-Hour Delivery" | Concrete promise |
 
**Weak Headline Patterns:**
 
| Pattern | Example | Problem |
|---------|---------|---------|
| Generic | "Welcome to Our Site" | No differentiation |
| Vague | "Quality Products" | Means nothing |
| Feature-Only | "We Have Inventory" | No benefit to user |
| Too Long | "..." (truncated) | Message cut off |
 
---
 
### Tier 4: Description Analysis
 
**Description Best Practices:**
 
| Element | Good Practice | Poor Practice |
|---------|--------------|---------------|
| Length | Uses 80+ characters | Short, wasted space |
| CTA | Clear action included | No direction |
| Benefits | Multiple benefits listed | Feature dump |
| Differentiation | Why choose you | Generic claims |
 
---
 
## Output Format
 
### Executive Summary
 
```
AD COPY HEALTH: 🟒/🟑/πŸ”΄
Ads Analyzed: XX
Period: [dates]
Avg CTR: X.XX%
Avg CVR: X.XX%
Top Performing Ad: [Campaign > Ad Group > Ad ID]
Ads Needing Attention: XX
```
 
---
 
### Top Performing Ads
 
| Rank | Campaign | Ad Group | CTR | CVR | Ad Strength | Status |
|------|----------|----------|-----|-----|-------------|--------|
| 1 | [name] | [name] | X.XX% | X.XX% | EXCELLENT | Star |
| 2 | [name] | [name] | X.XX% | X.XX% | GOOD | Star |
| 3 | [name] | [name] | X.XX% | X.XX% | GOOD | Above Avg |
 
**Winning Headlines from Top Ads:**
1. "[Headline text]" - appears in X of top Y ads
2. "[Headline text]" - appears in X of top Y ads
3. "[Headline text]" - appears in X of top Y ads
 
**Winning Descriptions from Top Ads:**
1. "[Description text]"
2. "[Description text]"
 
**Patterns Observed:**
- [Pattern 1: e.g., "Top ads use specific numbers"]
- [Pattern 2: e.g., "Strong CTAs in position 1"]
- [Pattern 3: e.g., "Benefit-first headlines dominate"]
 
---
 
### Underperforming Ads
 
| Campaign | Ad Group | CTR | CVR | Ad Strength | Issue |
|----------|----------|-----|-----|-------------|-------|
| [name] | [name] | X.XX% | X.XX% | POOR | Low CTR |
| [name] | [name] | X.XX% | X.XX% | AVERAGE | Low CVR |
 
**Common Problems:**
- [Issue 1: e.g., "Generic headlines without differentiation"]
- [Issue 2: e.g., "No clear CTA in descriptions"]
 
**Recommended Actions:**
1. **[Ad Group]**: Replace headlines X, Y with [suggested approach]
2. **[Ad Group]**: Add benefit-focused description
3. **[Ad Group]**: Pin strong headline to position 1
 
---
 
### Ad Strength vs Performance Analysis
 
| Ad Strength | Avg CTR | Avg CVR | Count | Reality |
|-------------|---------|---------|-------|---------|
| EXCELLENT | X.XX% | X.XX% | XX | [Assessment] |
| GOOD | X.XX% | X.XX% | XX | [Assessment] |
| AVERAGE | X.XX% | X.XX% | XX | [Assessment] |
| POOR | X.XX% | X.XX% | XX | [Assessment] |
 
**Key Finding:** [Observation about ad strength correlation with performance]
 
---
 
### Headline Audit
 
**Headlines by Frequency (Across All Ads):**
 
| Headline | Used In | Avg CTR When Used | Assessment |
|----------|---------|-------------------|------------|
| "[text]" | X ads | X.XX% | Keep |
| "[text]" | X ads | X.XX% | Keep |
| "[text]" | X ads | X.XX% | Test replace |
| "[text]" | X ads | X.XX% | Replace |
 
**Headline Gaps:**
- Missing: [Type of headline, e.g., "No urgency-based headlines"]
- Missing: [Type of headline, e.g., "No social proof headlines"]
 
**Suggested New Headlines:**
1. "[Suggested headline]" - adds [missing element]
2. "[Suggested headline]" - adds [missing element]
3. "[Suggested headline]" - adds [missing element]
 
---
 
### Description Audit
 
**Descriptions by Performance:**
 
| Description | Avg CTR | Avg CVR | Assessment |
|-------------|---------|---------|------------|
| "[text snippet...]" | X.XX% | X.XX% | Star |
| "[text snippet...]" | X.XX% | X.XX% | Solid |
| "[text snippet...]" | X.XX% | X.XX% | Replace |
 
**Description Gaps:**
- [Missing element, e.g., "No descriptions mention free shipping"]
- [Missing element, e.g., "No urgency in descriptions"]
 
---
 
### Quick Wins
 
```
ACTION ADS EST. IMPACT
────────────────────────────────────────────────────
Replace weak headlines XX +XX% CTR
Add missing headline types XX Improved coverage
Fix description CTAs XX +XX% CVR
Address policy issues XX Increase impressions
```
 
---
 
### Creative Recommendations
 
**Based on Top Performers, Test These:**
 
**Headlines:**
1. "[Suggested headline]" - mirrors winning pattern
2. "[Suggested headline]" - adds variety
3. "[Suggested headline]" - competitive angle
 
**Descriptions:**
1. "[Suggested description]" - benefit stack
2. "[Suggested description]" - urgency + CTA
 
**Pinning Strategy:**
- Pin "[best headline]" to Position 1
- Pin "[brand headline]" to Position 2 or 3
- Leave other positions unpinned for testing
 
---
 
## Composability
 
**Chains from:**
- `keyword-performance-analyzer` - Keyword themes inform ad copy relevance
 
**Chains to:**
- MCP `create_responsive_search_ad` - Can create new ads based on winning patterns
- `ab-test-designer` - Test new creative variations
 
---
 
## Limitations
 
**I can assess:**
- Ad-level performance (CTR, CVR, conversions)
- Ad strength ratings
- Headline/description text and patterns
- Policy status
- Performance vs account average
 
**I cannot assess (API limitation):**
- Individual headline/description performance scores
- Combination-level performance
- Impression share by asset
- Asset-level Quality Score
 
**For asset-level details:**
- Use Google Ads UI β†’ Assets β†’ "View asset details"
- Export asset performance report manually
- Provide as supplementary input
 
---
 
## Quality Checklist
 
Before delivering analysis:
- [ ] Ads ranked by CTR and CVR
- [ ] Ad strength vs performance comparison included
- [ ] Top headline patterns identified
- [ ] Underperformers flagged with specific issues
- [ ] Suggested new headlines provided
- [ ] Quick wins prioritized by impact
- [ ] Composability next steps noted
Ready
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Frequently Asked Questions

Common questions about Ad Copy Performance Ranker and how to use it effectively with Claude.

Ad Copy Performance Ranker is a pre-built AI skill for Claude that helps with google ads tasks. Analyzes RSA ad performance using Google Ads MCP data. Ranks headlines and descriptions by effectiveness, identifies winners/losers, and provides creative optimization recommendations. Triggers when user asks about ad copy performance, RSA analysis, or wants to improve ad creative. Pulls live data via ad_group_ad action. This skill is designed to work seamlessly with Claude Code and other Claude-powered applications, enabling marketers and businesses to automate and enhance their google ads workflows.

To use Ad Copy Performance Ranker, download the skill files and add them to your Claude project. The skill includes a detailed HOW_TO_USE.md guide that walks you through the setup process step by step. Simply follow the instructions to integrate the skill into your workflow and start generating results immediately.

Yes, Ad Copy Performance Ranker comes with sample input data that demonstrates how to structure your requests for optimal results. The sample_input.json file shows the expected data format, and expected_output.json provides an example of what Claude will generate. This helps you understand exactly how to use the skill and what to expect from the output.

Unlike traditional google ads tools, Ad Copy Performance Ranker leverages Claude's advanced AI capabilities to provide intelligent, context-aware assistance. It combines pre-built expertise with Claude's reasoning abilities, allowing for more nuanced and customized outputs. The skill is also free to use, continuously updated, and integrates directly with your existing Claude workflow.

Absolutely. The skill files are fully editable, allowing you to modify the prompts, add your own brand guidelines, or adjust the output format to match your requirements. You can also combine this skill with other Claude skills to create powerful automated workflows tailored to your business needs.

Yes, Ad Copy Performance Ranker is completely free to download and use. All InsightfulPipe skills are open source and designed to help marketers and businesses leverage AI more effectively. You can download the skill files, use them in your projects, and even modify them to suit your specific requirements.