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paid-ads-linkedin

Audit, diagnose, and safely operate LinkedIn Ads accounts through the NotFair MCP connector.

Updated Aug 28, 2026
Search Tags:#mcp#lead generation#targeting#paid advertising#linkedin ads#b2b marketing#campaign audit
One-click install
npx skills add https://github.com/jeremybrasher/grokbot-skills --skill paid-ads-linkedin-jeremybrasher
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paid-ads-linkedin
Source: https://github.com/jeremybrasher/grokbot-skills/tree/main/collections/notfair/paid-ads/paid-ads-linkedin
Command: npx skills add https://github.com/jeremybrasher/grokbot-skills --skill paid-ads-linkedin-jeremybrasher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Managing LinkedIn Ads accounts safely requires careful handling of budgets, targeting trees, and lead data, where a single mistaken mutation can waste spend or expose personal data. This Skill provides a disciplined workflow for auditing connected LinkedIn Ads accounts, diagnosing lead quality versus quantity, and executing approved changes with previews and rollback plans. ## Core Features & Use Cases - Connector-Based Audits: Resolves the NotFair MCP linkedin_ads_ tool surface, confirms account access, and runs correlated read-only analysis across campaign groups, campaigns, creatives, and analytics. - Safe Mutation Workflow: Uses dedicated write tools with dry-run previews, before/after state comparison, URN-based targeting resolution, and post-change verification before marking anything published. - Lead Quality Separation: Keeps platform lead counts distinct from sales-qualified pipeline outcomes, with strict PII minimization for lead-form responses. - Use Case: A B2B marketer notices CPL is down but sales reports worse lead quality. The Skill audits campaign groups and campaigns via a single broad read, separates lead quantity from qualified pipeline, and recommends a bounded, reversible action. ## Quick Start Use the paid-ads-linkedin skill to audit my connected LinkedIn Ads account and recommend improvements for lead quality.

Frequently Asked Questions about paid-ads-linkedin

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit a LinkedIn Ads account for lead quality problems?▼

Connect through the NotFair MCP linkedin_ads_ tools, confirm the account, then run one broad correlated read across campaign groups, campaigns, and analytics. Compare spend, CTR, leads, qualified leads, and CPA over a complete equivalent period while keeping platform leads separate from pipeline outcomes.

How do I change LinkedIn campaign targeting safely?▼

Read the existing whole targeting tree first, resolve targeting names to LinkedIn URNs, then show the complete before and proposed trees with a dry-run preview. Only apply the replacement after explicit approval, and verify the result with a fresh read before calling it published.

Can I use this without a connected LinkedIn Ads account?▼

Yes, but only in a limited mode. If the connector is missing or unauthorized, you can work from a supplied export, and all recommendations stay marked ready_for_review rather than published, with no live mutations possible.

Does the LinkedIn Ads API return money in cents or micros?▼

No. LinkedIn returns money as a major-unit object such as { amount: "50", currencyCode: "USD" }, not micros or cents. Always confirm the account currency before diagnosing spend or setting budgets and bids.

What are the limitations when modifying LinkedIn campaigns?▼

Campaign type and cost type are immutable after creation, and conversion rules or matched audiences may not be deletable through the API. Prefer pause/activate over hard deletion, and create new objects in draft for review before activation.

How is lead-form personal data handled?▼

Lead-form responses contain personal data and are retrieved only when necessary. Exposure in responses is minimized, raw lead PII is never copied into unrelated artifacts, and hashing enforcement is left to the connector.

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