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Reduce Customer Churn with Claude Scoring + Gmail Save Emails (n8n)

Reduce Customer Churn with Claude Scoring + Gmail Save Emails (n8n)

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Reduce Customer Churn with Claude Scoring + Gmail Save Emails (n8n)

Reduce Customer Churn with Claude Scoring + Gmail Save Emails (n8n)

Regular price £16.99
Regular price £16.99 Sale price
SAVE Sold out

Catch at-risk customers before they cancel—then email them automatically with Claude scoring

This n8n workflow helps you reduce customer churn by ingesting customer health signals via a Webhook, using Claude to score churn risk (0–100), and automatically sending a personalized “save-play” email through Gmail to customers who are slipping away.

What this workflow does

  • Receives customer health signals through a Webhook (one customer per call) in JSON, including signals like last login, usage change, email open rate, support sentiment, days to renewal, open tickets, and plan value.
  • Normalizes the payload safely with a Set node so missing fields won’t break the run.
  • Scores churn risk with Claude (Anthropic Chat Model) using structured output: a churn score from 0–100, a risk tier (RED / YELLOW / GREEN), the top contributing signals, and a draft personalized HTML save-play email.
  • Creates one clean health record by flattening AI output and original data (Shape node).
  • Logs every account to a data table for tracking and reporting (mapped columns include customer_id, churn_score, risk_tier, action_taken, logged_at, and more).
  • Routes actions by risk tier with a Switch:
    • RED: triggers a save-play email
    • YELLOW: sends a lighter nurture email
    • GREEN: logs and monitors
  • Email reliability: Gmail email nodes retry automatically .

Use cases

  • SaaS operators: identify customers with worsening engagement (e.g., lower open rate, more open tickets) before renewal.
  • Customer success teams: trigger targeted save-play outreach for RED accounts while keeping GREEN customers on watch.
  • Automation engineers: maintain an audit trail by logging every churn evaluation to a data table.

Technical details

  • Inputs: Webhook (JSON customer health signals)
  • AI: Claude (Anthropic Chat Model + structured output parser) in the AI Churn Score model node
  • Routing: Switch by risk tier (RED/YELLOW/GREEN)
  • Data: data table logging of churn scoring outcomes
  • Email: Gmail (OAuth2) with HTML save-play emails (auto-retry 3×)
  • Utilities: Set and Shape nodes (safe defaults + output flattening)
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