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SaaS Churn Radar

Monitor usage signals in your data warehouse (Snowflake/Postgres) and alert CSMs via Slack when key accounts show churn risk patterns.

Overview

Churn doesn’t happen overnight; it happens when usage drops 10% week-over-week. This workflow runs a daily health check on your customer data. It calculates a “Health Score” based on login frequency and feature usage, identifying at-risk accounts before they cancel.

Architecture

  1. Schedule: Runs every morning at 8:00 AM.
  2. Query:
    • Fetches daily_active_users (DAU) and feature_usage from Snowflake/Postgres.
    • Compares vs. 30-day rolling average.
  3. Logic:
    • IF drop > 15%: Flag as “Risk”.
    • IF support_tickets > 3: Flag as “Critical”.
  4. Action:
    • Post to #csm-alerts in Slack: ”🚨 Account X usage dropped 20%.”
    • Create a “Churn Prevention” task in HubSpot/Salesforce.

Setup Guide

Prerequisites

  • n8n
  • Data Warehouse Creds (Snowflake/Postgres/BigQuery)
  • Slack Bot Token
  • CRM Connection

Query Logic

You will need to adapt the SQL query in the Postgres node to match your specific schema (e.g., SELECT count(*) FROM events WHERE...).