What problem does it solve?
Managing LinkedIn Ads requires balancing lead quantity against lead quality, navigating a complex account hierarchy, and avoiding irreversible mistakes like replacing targeting trees or mutating immutable campaign settings. This Skill gives an AI agent a safe, structured workflow to audit B2B ad performance and execute only approved, verified changes.
Core Features & Use Cases
- Connector-Based Audits: Reads campaign groups, campaigns, creatives, and analytics through the NotFair MCP
linkedin_ads_ tools, with an export-based fallback when no connector is available.
- Lead Quality Diagnosis: Separates platform lead volume from qualified leads and downstream pipeline, using complete comparison periods and stated attribution basis.
- Safe Mutation Workflow: Previews exact before/after states, uses dry-runs for budgets and targeting, resolves targeting names to LinkedIn URNs, and verifies every change with fresh reads.
- Use Case: A B2B marketer notices CPL is down but sales reports worse lead quality. The agent runs one broad correlated read across campaign groups and campaigns, identifies which campaigns drive unqualified leads, and proposes a bounded, approval-gated fix.
Quick Start
Ask the agent to audit your connected LinkedIn Ads account, compare campaign groups by qualified lead rate, and recommend the safest improvements.
