paid-ads-linkedin

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Plan and review LinkedIn Ads with B2B targeting, lead-quality, and budget guardrails. Use for LinkedIn advertising, sponsored content, lead-generation forms, job-title or company targeting, or LinkedIn campaign performance.

AI & Automation 3,325 stars 411 forks Updated 1 months ago MIT

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# LinkedIn Ads Planning Read `../shared/operating-contract.md` and `../shared/measurement-framework.md`. This plugin does not declare a first-party NotFair LinkedIn MCP mutation surface; work from a verified connector or supplied export and produce an operator-ready brief. ## Build around qualified demand Define the sales-qualified conversion and feedback loop before optimizing for a form fill. Create a targeting hypothesis from job function, seniority, company, industry, and account list only when the user provides a defensible audience rationale. Avoid overly narrow targeting that cannot learn; document exclusions and expected audience constraints rather than guessing platform reach. For each proposal, include campaign objective, campaign-group/naming convention if supplied by the operator, audience logic, lead-form versus landing-page decision, daily and monthly budget, creative concept, destination or follow-up owner, and a quality metric beyond CTR. Higher CPMs and lower conversion volume make a single well-specified test more useful than many thin ad groups. ## Review and handoff Read reported spend, impressions, link CTR, leads, qualified leads, CPA, and CRM outcome by a complete period. Keep lead quantity separate from lead quality. Mark all changes `ready_for_review` until an authorized operator confirms them in LinkedIn Campaign Manager or a verified connector reads them back.

Details

Author
nowork-studio
Repository
nowork-studio/NotFair
Created
5 months ago
Last Updated
1 months ago
Language
TypeScript
License
MIT

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