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gomarble-aigomarble-ai/marketing-agent/skills/linkedin-ads/SKILL.md

linkedin-ads

Skill15 starsChanged 36 days agoMITView on GitHub

Use for LinkedIn Ads (Campaign Manager) questions: campaign and campaign group performance, spend, CTR, CPC, CPL and conversions, breakdowns by company, job title, industry or seniority, and looking up targeting values. Read-only through GoMarble; changes are given as instructions for Campaign Manager.

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    onboarding

    Generate an onboarding checklist and first-week plan for a new hire. Use when someone has a start date coming up, building the pre-start task list (accounts, equipment, buddy), scheduling Day 1 and Week 1, or setting 30/60/90-day goals for a new team member.

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The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 11 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Enough data: Don't judge a campaign or segment with only a handful of conversions.

    line 26

“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

LinkedIn Ads

Analyze LinkedIn Ads through GoMarble. The connector reads LinkedIn; it can't change campaigns. When a change is needed, give the user the exact edit to make in Campaign Manager.

Tools

NeedTool
Ad accountslinkedin_list_ad_accounts (start here; other tools need the account_id)
Campaign groups (status, budget, schedule)linkedin_get_ad_campaign_groups
Campaigns (type, objective, status, bidding, targeting summary)linkedin_get_campaigns
Performance: impressions, clicks, spend, conversions, leads, with pivots such as campaign, creative, company, job title, industry, seniority or countrylinkedin_get_ad_analytics
Targeting values for a facet (industries, titles, companies, skills, and so on)linkedin_get_targeting_entities

How to analyze

  • Judge by objective. Lead gen campaigns: cost per lead, lead volume, and form completion rate where available. Website conversions: CPA. Awareness: CPM, reach and frequency. Don't judge an awareness campaign on CPL.
  • B2B context. LinkedIn CPCs and CPMs are high by design. Compare against the account's own history and the value of a lead, not other channels' costs.
  • Who is actually seeing the ads. Pivot analytics by company, job title, seniority and industry to check delivery matches the intended buyer. Delivery drifting to junior titles or irrelevant industries is the most common waste.
  • Creative fatigue. LinkedIn audiences are small, so frequency climbs fast. Watch CTR decay as frequency rises.
  • Enough data. Don't judge a campaign or segment with only a handful of conversions; say it's too early.
  • Cross-check. Compare LinkedIn-reported leads with the CRM or GA4 (ga4-source-of-truth) when available; view-through conversions can inflate results.

Output

Performance by campaign group and campaign against the target, who the ads reached, what's fatiguing, and specific recommendations written as Campaign Manager steps, for example "In campaign X, exclude seniority 'Entry' and 'Training'".

For cross-channel questions, use diagnose-performance or build-reports.

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