An AI-powered marketing agent that unifies Meta, Google, email, and organic data into a single weekly performance report with executive-level commentary.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install campaign-performance-report
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install campaign-performance-report using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Campaign Performance Report is a specialized tool within the Openclaw Skills ecosystem designed to eliminate the manual labor of cross-platform data assembly. By aggregating metrics from Meta Ads, Google Ads, email platforms, and organic sources, this agent provides a holistic view of your marketing ecosystem. It doesn't just list numbers; it normalizes metrics across different attribution windows and applies an intelligent analysis framework to surface actionable insights.
Built for marketers and business owners, it bridges the gap between raw data and executive decision-making. Whether you provide data via manual paste, CSV exports, or verbal descriptions, the agent generates a structured report that identifies wins, misses, and high-priority actions, ensuring your budget allocation remains efficient and your growth stays on track.
To start using this skill within your environment, follow these steps:
report setup
report weekly
The skill maintains a structured workspace in ~/campaign-reports/ to ensure data persistence and trend accuracy:
| File/Folder | Purpose |
|---|---|
memory.md |
Stores channel configurations, KPI targets, and account performance baselines. |
reports/ |
Contains weekly performance reports saved in Markdown format (weekly-YYYY-MM-DD.md). |
data/ |
Stores raw snapshots of channel data to enable historical trend analysis and rolling averages. |
report by channel to compare performance across different platforms in a single table.Loading
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