Predict Customer Churn with AI Analysis of HubSpot and Google Sheets Data

Who it’s for Built for Customer Success and Account Management teams focused on proactive retention. This workflow helps you automatically identify at-risk customers – before they churn – by combining CRM, usage, and sentiment data into one actionable alert. What it does This end-to-end workflow continuously monitors customer health by consolidating data from HubSpot and Google Sheets. Here’s how it works: Fetch deals from HubSpot. Collect context — linked support tickets and feature usage from a Google Sheet. Run sentiment analysis on the tickets to generate a customer health score. Evaluate risk — an AI agent reviews deal age, sentiment score, and usage trends against predefined thresholds

Help me set up the n8n workflow "Predict Customer Churn with AI Analysis of HubSpot and Google Sheets Data" (https://n8n.io/workflows/10199). It uses: Send Email, HubSpot, Code, AI Agent, Basic LLM Chain, OpenAI Chat Model, Structured Output Parser, Sentiment Analysis, MCP Client Tool. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.