Official Verified data analysis Safety 3/5

ads-manager-agent

When the user wants to manage, automate, or analyze paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, or TikTok. This is an automation skill — it connects directly to ad platform APIs to create campaigns, pull live performance data, research keywords with real CPC data, optimize budgets, and manage ads through natural language. Also triggers on 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'keyword research,' 'ad optimization,' 'campaign performance,' or 'ad account.'

Why use this skill?

Automate your paid media campaigns with the ads-manager-agent. Pull live performance data, optimize budgets, and conduct keyword research across Google, Meta, LinkedIn, and TikTok.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/amekala/ads-manager-agent

Download Source Code (.zip)

What This Skill Does

The ads-manager-agent is a comprehensive automation suite for professional media buying. By connecting directly to the Adspirer MCP server, this skill grants your AI agent the ability to interact programmatically with Google Ads, Meta (Facebook/Instagram), LinkedIn, and TikTok. It bypasses manual dashboard logins, allowing you to pull live performance data, audit campaign health, identify wasted ad spend, and generate keyword strategies directly through natural language.

Installation

To get started, ensure you have the OpenClaw environment configured. Run the following commands in order:

Install the plugin: openclaw plugins install openclaw-adspirer
Log in: openclaw adspirer login
Connect accounts via the web portal: openclaw adspirer connect
Verify your integration: openclaw adspirer status

Use Cases

Automated Reporting: Generate daily or weekly summaries of cross-platform performance (ROAS, CPA, CTR) without manually exporting CSV files.
Budget Optimization: Use the analyze_wasted_spend tool to automatically surface underperforming keywords or ad sets that are draining budget without converting.
Performance Auditing: Quickly diagnose sudden shifts in performance using anomaly detection tools for Google and Meta, allowing for rapid response to market changes.
Creative Strategy: Leverage creative-level performance metrics to identify when specific Meta or LinkedIn ads are experiencing fatigue and need to be refreshed.

Example Prompts

"Analyze my Google Ads performance from the last 30 days and show me which ad groups have the highest cost-per-conversion."
"Compare the ROAS between my Facebook and LinkedIn campaigns for this month and identify which platform is driving more efficient leads."
"Check for wasted spend in my active Google search campaigns and suggest a list of negative keywords to improve my efficiency."

Tips & Limitations

Data Refresh: Performance metrics are pulled live from platform APIs; ensure your API credentials have the necessary read/write permissions.
Optimization Sensitivity: While the agent can identify optimizations, always review "negative keyword" suggestions or budget changes before confirming bulk updates.
Lookback Windows: Stick to standard lookback windows (7, 30, 60, 90 days) for the most accurate performance comparison data across disparate ad platforms.

Read Full Documentation on GitHub

Metadata

Author@amekala

Stars1656

Updated2026-02-28

View Author Profile

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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-amekala-ads-manager-agent": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#advertising#ppc#automation#marketing#analytics

Safety Score: 3/5

Flags: network-access, external-api

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