Automated Multi-Platform NPS Tracking with Bright Data, OpenAI, and Google Sheet

Overview

This workflow automates the process of tracking Net Promoter Scores (NPS) across multiple customer review platforms. Leveraging Bright Data for web scraping and OpenAI for intelligent data parsing, it streamlines the collection, analysis, and storage of customer feedback.

Key Features

• Scheduled Automation: Runs weekly to ensure up-to-date NPS insights.
• Multi-Platform Scraping: Uses Bright Data and custom agents to extract reviews from various sources.
• AI-Powered Analysis: Employs OpenAI and LangChain nodes to interpret and structure review data.
• Automated NPS Calculation: Processes ratings and computes NPS scores programmatically.
• Centralized Logging: Stores results in Google Sheets for easy access and reporting.

Benefits

• Time Savings: Eliminates manual review collection and analysis, freeing up valuable resources.
• Consistency: Ensures regular, unbiased NPS tracking across all platforms.
• Actionable Insights: Provides structured, AI-enhanced feedback for better decision-making.
• Seamless Integration: Connects scraping, AI, and data storage tools in a unified workflow.

Use Cases

• Monitoring customer sentiment for SaaS or e-commerce businesses.
• Automating NPS reporting for marketing or customer success teams.
• Enhancing analytics with AI-driven review interpretation.