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.md
source 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:

MetricPoorAverageGood
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:

  • campaign_optimization
    — budget, bidding, pacing changes
  • targeting_refinement
    — audience, exclusion, geo changes
  • creative_refresh
    — new ads, format tests, copy updates
  • conversion_tracking
    — pixel, events, attribution fixes
  • audience_management
    — overlap, expansion, exclusion updates