Track Customer NPS Scores Across Platforms with Bright Data and OpenAI
Automates scraping and analyzing customer NPS scores from multiple platforms using Bright Data and OpenAI, storing insights in Google Sheets for easy tracking.
This enterprise workflow tracks customer satisfaction (NPS) scores across review platforms, surveys, and feedback forms. It leverages Bright Data's MCP Client for reliable scraping without blocks, extracts scores and sentiment data, then uses OpenAI's AI agent to analyze trends, identify improvement areas, and generate actionable insights.
Key benefits include time savings by automating manual checks, comprehensive analytics across touchpoints, and proactive identification of satisfaction issues. It integrates seamlessly with Google Sheets for storing scores, reports, and visualizations, enabling data-driven decisions.
Ideal use cases: Monitor customer experience trends for CX teams, pinpoint product features affecting satisfaction for product managers, and prioritize support improvements. Compatible with self-hosted n8n; requires Bright Data, OpenAI, and Google Sheets credentials.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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