# LinkedIn Ads

> Use this tool when you need to analyze and optimize your LinkedIn advertising campaigns, comparing performance to industry benchmarks and receiving personalized recommendations for improvement. It solves problems of low ad engagement, inefficient budget allocation, and unclear campaign effectiveness. By providing ad performance data as input, it outputs actionable insights and optimization suggestions to enhance your LinkedIn Ads strategy.

Canonical page: https://skillsregistry.net/skills/radiateb2b-linkedin-ads  
JSON: https://api.skillsregistry.net/v1/skills/radiateb2b-linkedin-ads

## Description

Analyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/radiateb2b-linkedin-ads)
- **Repository:** <https://github.com/radiateb2b/mcp-linkedin-ads>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "radiateb2b-linkedin-ads"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/radiateb2b-linkedin-ads` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/radiateb2b-linkedin-ads/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt