Automated Ad Campaign Performance Alerts with Langchain and n8n
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Receive automated alerts for ad campaign performance changes. This n8n workflow uses Langchain to process incoming data via Webhook, splits it, embeds it with Cohere, stores it in Pinecone, and queries it using an OpenAI agent to trigger alerts logged to Google Sheets.
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About This Workflow
Overview
This n8n workflow is designed to automate the monitoring and alerting of ad campaign performance. It leverages the power of Langchain and n8n's integration capabilities to create a robust system for detecting significant changes in ad campaign data.
Problem Solved: Manually tracking ad campaign performance is time-consuming and prone to delays. This workflow automates the process, ensuring timely alerts for critical performance shifts, allowing for quicker response and optimization.
Logic:
- Webhook: Receives incoming ad campaign performance data.
- Splitter: Divides the incoming data into manageable chunks for processing.
- Embeddings (Cohere): Converts text data into numerical vector representations.
- Insert (Pinecone): Stores these embeddings in a Pinecone vector database for efficient retrieval.
- Query (Pinecone): Retrieves relevant performance data from Pinecone.
- Tool (Vector Store): Makes the Pinecone vector store accessible as a tool.
- Memory: Maintains conversation history for context.
- Chat (OpenAI): Utilizes an OpenAI language model for intelligent processing and decision-making.
- Agent: Orchestrates the interaction between the language model, tools, and memory to determine if an alert should be triggered.
- Sheet: Logs any triggered alerts to a Google Sheet for review and further action.
Key Features
- Real-time ad campaign performance monitoring via Webhook.
- Langchain integration for advanced text processing and AI capabilities.
- Vector database (Pinecone) for efficient data storage and retrieval.
- OpenAI powered agent for intelligent alert generation.
- Automated logging of alerts to Google Sheets.
How To Use
- Configure the Webhook node to receive your ad campaign performance data.
- Set up your Cohere API credentials for the Embeddings node.
- Configure your Pinecone API credentials and specify the index name for the Insert and Query nodes.
- Ensure your OpenAI API credentials are set for the Chat node.
- Customize the Agent node's prompt to define the alert conditions and desired output.
- Set up your Google Sheets API credentials and specify the sheet ID and name for the Sheet node to log alerts.
- Activate the workflow to start receiving and processing ad campaign performance data.
Apps Used
Workflow JSON
{
"id": "147abe6b-6ecf-42da-84d4-9364e5a758aa",
"name": "Automated Ad Campaign Performance Alerts with Langchain and n8n",
"nodes": 0,
"category": "Marketing Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 147abe6b-6ecf...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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