Claude-code-marketing-skills linkedin-ads-audit
Full LinkedIn Ads account audit — campaign structure, targeting, creative performance, spend efficiency
install
source · Clone the upstream repo
git clone https://github.com/cognyai/claude-code-marketing-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/cognyai/claude-code-marketing-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/linkedin-ads-audit" ~/.claude/skills/cognyai-claude-code-marketing-skills-linkedin-ads-audit && rm -rf "$T"
manifest:
skills/linkedin-ads-audit/SKILL.mdsource content
LinkedIn Ads Audit
Perform a comprehensive LinkedIn Ads account audit using live data from the connected LinkedIn Ads MCP.
Usage
/linkedin-ads-audit — audit the connected LinkedIn Ads account
Benchmarks
Use these LinkedIn Ads benchmarks for scoring:
| Metric | Poor | Average | Good |
|---|---|---|---|
| CTR | <0.3% | 0.4-0.6% | >0.8% |
| CPC | >$10 | $5-8 | <$4 |
| CPM | >$40 | $25-35 | <$20 |
| Conversion Rate | <1% | 2-4% | >5% |
| Engagement Rate | <0.3% | 0.5-1% | >1.5% |
Steps
1. List accessible ad accounts
Query available ad accounts. If multiple exist, note which is active.
2. Campaign overview
Get all campaigns (active + recently paused). For each:
- Status, objective, budget type (daily/lifetime)
- Date range and total spend
- Key metrics: impressions, clicks, CTR, CPC, conversions
Flag:
- Campaigns spending >30% of budget with CTR below 0.3%
- Paused campaigns that were performing well (CTR >0.6%)
- Campaigns running >90 days without optimization
3. Spend efficiency analysis
Across all active campaigns:
- Total monthly spend vs results
- CPC trend (last 30 vs previous 30 days)
- Cost per conversion by campaign
- Budget utilization (actual spend vs allocated)
Flag:
- Campaigns with CPC >$10 (above LinkedIn average)
- Budget underspend (<70% utilization) or overspend
- Rising CPC trends (>20% increase MoM)
4. Targeting review
For each active campaign, analyze:
- Audience size (too narrow <10K or too broad >1M)
- Job title/function targeting specificity
- Industry and company size filters
- Geographic targeting
- Audience expansion settings
Flag:
- Overlapping audiences between campaigns
- Overly broad targeting (no job title/function filters)
- Missing exclusions (existing customers, competitors)
5. Creative performance
Analyze ad creatives across campaigns:
- Format breakdown (single image, carousel, video, text)
- Per-creative CTR and engagement rate
- Ad copy length and CTA effectiveness
- Creative age (days since launch)
Flag:
- Creatives running >60 days (fatigue risk)
- Single-format campaigns (no A/B testing)
- Low-performing creatives (CTR <0.2%) still active
- Missing formats (no video if budget >$5K/mo)
6. Conversion tracking
Check:
- Insight Tag installation status
- Conversion event definitions
- Attribution window settings
- Lead gen form completion rates (if using lead gen)
Flag:
- Missing or misconfigured conversion tracking
- Low form completion rates (<10%)
- No offline conversion import
7. Budget pacing
For each campaign:
- Daily/monthly spend rate vs target
- Projected end-of-month spend
- Day-of-week performance patterns
Flag:
- Campaigns pacing >20% over or under budget
- Weekend spend on B2B campaigns (usually wasteful)
8. Report findings
Present as a scored audit:
LinkedIn Ads Audit Score: X/100 Campaign Structure: X/20 - [PASS/FAIL] Campaign organization - [PASS/FAIL] Objective alignment - [PASS/FAIL] Budget allocation Targeting: X/20 - [PASS/FAIL] Audience specificity - [PASS/FAIL] Audience overlap - [PASS/FAIL] Exclusions Creative: X/20 - [PASS/FAIL] Format diversity - [PASS/FAIL] Creative freshness - [PASS/FAIL] A/B testing Performance: X/20 - [PASS/FAIL] CPC vs benchmark - [PASS/FAIL] CTR vs benchmark - [PASS/FAIL] Conversion rate Tracking & Budget: X/20 - [PASS/FAIL] Conversion tracking - [PASS/FAIL] Budget pacing - [PASS/FAIL] Attribution setup Top 3 Actions: 1. [Highest impact fix] 2. [Second highest] 3. [Third highest]
9. Record findings
For EVERY actionable issue found, call
mcp__cogny__create_finding:
{ "title": "High CPC on 'Decision Makers' campaign ($12.40 vs $5-8 benchmark)", "body": "Campaign targeting C-suite titles with single image ads. CPC is 55% above LinkedIn average. Recommend: 1) Test carousel format 2) Narrow to VP+ titles only 3) Add company size >500 filter", "action_type": "campaign_optimization", "expected_outcome": "Reduce CPC to <$8 within 2 weeks", "estimated_impact_usd": 800, "priority": "high" }
Action types for LinkedIn Ads:
— budget, bidding, pacing changescampaign_optimization
— audience, exclusion, geo changestargeting_refinement
— new ads, format tests, copy updatescreative_refresh
— pixel, events, attribution fixesconversion_tracking
— overlap, expansion, exclusion updatesaudience_management