Overview
This workflow automates the analysis of video ads from the Meta Ad Library by leveraging Google Gemini's AI capabilities and storing the processed insights in Google Sheets for easy access and reporting.
Key Features
- Automated Trigger: Initiates analysis with a manual trigger for controlled execution.
- Batch Processing: Efficiently handles multiple video ads using batch splitting and looping.
- AI-Powered Analysis: Utilizes Google Gemini's chat model to analyze video content and extract structured insights.
- Data Cleaning & Parsing: Cleans prompts and parses AI output for consistency and accuracy.
- Seamless Storage: Automatically records structured results in Google Sheets for further analysis or sharing.
Benefits
- Time Savings: Eliminates manual review and data entry, accelerating ad analysis workflows.
- Enhanced Insights: Delivers AI-driven, structured insights for better marketing decisions.
- Centralized Data: Consolidates results in Google Sheets, enabling easy collaboration and reporting.
Use Cases
- Marketing teams analyzing competitor ad strategies.
- Agencies tracking video ad performance and creative trends.
- Businesses seeking to automate ad intelligence gathering for campaign optimization.
Integrations
- Meta Ad Library (data source)
- Google Gemini (AI analysis)
- Google Sheets (data storage)