Daily HubSpot Churn Risk AI Workflow (n8n) with DeepSeek & Slack

Daily HubSpot churn risk triage—automated and sent to Slack (n8n + DeepSeek)

Turn HubSpot support tickets into an automatic, daily churn-risk signal. This Daily HubSpot Churn Risk AI Workflow (n8n) with DeepSeek & Slack aggregates tickets by contact, uses a DeepSeek AI Agent to assess churn risk, writes the result back to HubSpot, and alerts Customer Success in Slack—including follow-up tasks for high-risk accounts.

What this workflow does

• Runs every day at 07:00 on a schedule.
• Fetches HubSpot tickets and collects key fields (subject, priority, create date, and associated contact/company identifiers).
• Aggregates tickets per contact email to compute:
  • Ticket volume
  • Urgent / high-priority count
  • Days since the most recent ticket
  • A short subject summary
• Sends each contact’s summary to a DeepSeek chat agent to return a structured churn-risk level, a qualitative assessment, and a recommended next action.
• Updates HubSpot contact custom properties (create churn_risk_level and churn_risk_s) with the risk level and AI summary.
• Posts alerts to Slack for medium- and high-risk accounts.
• Creates a HubSpot follow-up task due the next day for high-risk accounts (if enabled).

Use cases

• SaaS Customer Success teams need a daily churn-risk dashboard driven by real support activity.
• Automation engineers want an n8n HubSpot + AI workflow that updates CRM fields and escalates via Slack.
• Operators want faster intervention for contacts showing high ticket urgency or recency signals.

Technical details

• n8n nodes / integrations: hubspot, slack, set, code, no op, switch.
• Credentials required: HubSpot (read tickets, update contacts, and optionally create tasks), DeepSeek API (chat model + structured output auto-fix), and Slack (target channel such as #customer-success).