n8n Churn Risk Alerts: GPT-4o to Slack, Gmail & HubSpot

Stop churn before it happens—automatically

This n8n workflow runs every morning to pull your last 30 days of account usage, calculate a health score, and use GPT-4o to classify churn risk. Then it triggers the right retention action across Slack, Gmail, HubSpot, and logs results to Google Sheets.

What this workflow does

• Runs daily at 7am on a schedule.
• Pulls 30-day usage metrics from your product API endpoint (update the HTTP request URL and required auth headers).
• Computes a 0–100 health score per account using usage and support signals.
• Sends account context to OpenAI (GPT-4o) to:
  • classify churn risk as high / medium / low
  • recommend one retention play for that account
• Routes actions by risk level:
  • High-risk → alerts your team in Slack (e.g., #customer-success)
  • Medium-risk → sends a nurture email via Gmail
  • Low-risk → updates CRM activity in HubSpot
• Appends tracking data (signals, score, chosen action) to a Google Sheets tab named “Churn Signals”.

Use cases

• Customer Success teams want daily churn risk alerts to prioritize outreach.
• SaaS operators need an automated retention playbook tied to real usage signals.
• Automation engineers want a Slack + Gmail + HubSpot workflow with reporting for churn attribution.

Technical details

• Scheduler: runs every morning at 7am
• API ingestion: HTTP request to your product usage endpoint
• AI classification: OpenAI using GPT-4o
• Routing: Switch node to branch high/medium/low actions
• Integrations/nodes: Code, Slack, Gmail, HubSpot, Google Sheets, plus Sticky Note for workflow documentation