Automated Ad Campaign Performance Monitoring and Alert System

This n8n workflow is designed to automate the monitoring and analysis of advertising campaign performance data, utilizing AI and vector similarity search. It starts with a webhook trigger where campaign data is received. The data is then split into manageable chunks using a text splitter. These chunks are transformed into embeddings via Cohere’s API and stored in a Pinecone vector database. The workflow also queries the vector database to retrieve similar past campaign data for comparison. Using OpenAI’s language model, it analyzes the campaign performance context and generates insights or alerts. Results can be logged into Google Sheets for record-keeping. This workflow is highly useful for digital marketers and agencies seeking real-time, AI-driven insights to optimize ad campaigns effectively.