Overview
This workflow automates the monitoring of social media ad performance using Bright Data MCP and OpenAI. It checks ad metrics every hour, analyzes results, and sends alerts if ads underperform.
Key Features
- Scheduled Monitoring: Triggers every hour to review ad performance.
- Data Scraping: Uses MCP Agent to extract data from the Facebook ad dashboard.
- AI Analysis: Employs OpenAI's language model to interpret ad metrics and identify underperforming ads.
- Automated Alerts: Sends email notifications via Gmail when an ad requires attention.
- Conditional Logic: Only alerts when necessary, reducing noise and focusing on actionable insights.
Benefits
- Proactive Management: Enables marketing teams to respond quickly to declining ad performance.
- Time Savings: Eliminates manual ad checks, freeing up resources for strategic tasks.
- Accuracy: AI-driven analysis ensures consistent and objective performance evaluation.
- Seamless Integration: Connects data scraping, AI, and email tools in a unified workflow.
Use Cases
- Marketing Teams: Stay informed about ad performance without manual monitoring.
- Agencies: Manage multiple client ad accounts efficiently.
- Campaign Optimization: Quickly identify and address underperforming ads to maximize ROI.
