LinkedIn Ads campaign analysis for B2B marketers detecting CTR issues, audience quality problems, lead gen form friction, and budget inefficiencies. Use when pasting LinkedIn campaign exports, analyzing B2B ad performance, or auditing LinkedIn advertising spend. Platform: LinkedIn.
npx skills add https://github.com/irinabuht12-oss/marketing-skills --skill linkedin-ads-audit
Analyze LinkedIn ad campaigns for B2B performance optimization.
| Metric | Good | Average | Poor |
|--------|------|---------|------|
| CTR (Sponsored Content) | >0.5% | 0.3-0.5% | <0.3% |
| CTR (Text Ads) | >0.03% | 0.01-0.03% | <0.01% |
| CPC | <$5 | $5-10 | >$10 |
| CPL (Lead Gen Forms) | <$50 | $50-150 | >$150 |
| Lead Gen Form Completion | >15% | 10-15% | <10% |
| Engagement Rate | >2% | 1-2% | <1% |
| Fields | Expected Completion Rate |
|--------|-------------------------|
| 3-4 fields | 15-25% |
| 5-6 fields | 10-15% |
| 7+ fields | <10% |
High-friction fields to avoid:
Use instead:
| Issue | Signal | Fix |
|-------|--------|-----|
| Overspending on awareness | High impressions, low CTR | Narrow audience |
| Audience too broad | Low CPL but poor lead quality | Add exclusions |
| Creative fatigue | CTR declining week-over-week | Refresh ads |
| Wrong objective | High CPC on brand awareness | Switch to lead gen |
## LinkedIn Ads Audit
**Account**: [Name]
**Analysis Period**: [Date Range]
**Total Spend**: $[Amount]
### Performance vs Benchmarks
| Metric | Your Performance | Benchmark | Status |
|--------|-----------------|-----------|--------|
| CTR | | 0.4% | 🟢/🟡/🔴 |
| CPC | | $7 | 🟢/🟡/🔴 |
| CPL | | $100 | 🟢/🟡/🔴 |
### Audience Quality Assessment
- **Targeting**: [Evaluation]
- **Exclusions**: [Missing exclusions]
- **Size**: [Too broad/narrow/optimal]
### Lead Gen Form Analysis
- **Fields**: [Count]
- **Completion Rate**: [X]%
- **Friction Points**: [List]
### Top Issues
| Priority | Issue | Impact | Fix |
|----------|-------|--------|-----|
| 1 | | | |
| 2 | | | |
### Budget Recommendations
- [Recommendation 1]
- [Recommendation 2]
### Confidence Level: [HIGH/MEDIUM/LOW]
Input: "LinkedIn campaign: $5K spend, 500K impressions, 1,200 clicks, 45 leads. Targeting: Marketing Managers, Directors at companies 50-1000 employees. Lead form has 7 fields."
Output:
## LinkedIn Ads Audit
**Total Spend**: $5,000
**Leads**: 45
### Performance vs Benchmarks
| Metric | Your Performance | Benchmark | Status |
|--------|-----------------|-----------|--------|
| CTR | 0.24% | 0.4% | 🔴 Below |
| CPC | $4.17 | $7 | 🟢 Good |
| CPL | $111 | $100 | 🟡 Average |
### Lead Gen Form Analysis
- **Fields**: 7 (too many)
- **Expected Completion Rate**: <10%
- **Friction Points**: Reduce to 4 fields, use pre-filled data
### Top Issues
| Priority | Issue | Impact | Fix |
|----------|-------|--------|-----|
| 1 | Low CTR (0.24%) | Wasted impressions | Test new creative, tighten audience |
| 2 | 7 form fields | Low completion | Reduce to 4, remove phone |
### Confidence Level: HIGH
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
Take irinabuht12-oss/linkedin-ads-audit from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.