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At-risk accounts alert

When an account starts showing churn signals — drop in usage, escalated tickets, missed payments — your CS team finds out the same day.

Runs daily Data change Delivered to Slack
At-risk accounts alert
Active

Trigger

Runs daily

Instructions

Every 4 hours, check every paying account against the early-warning conditions:

Delivery

Slack

Example output

A realistic sample of what this automation delivers — your version draws on your data.

At-risk accounts alert Runs daily · Sent to Slack
Sample output

At-risk account: NorthwindCo ($72K ARR)

Three of five at-risk signals fired in the past 24 hours:

  • Usage dropped 41% week-over-week. Logins fell from 28 to 17, dashboard views from 144 to 84.
  • Champion stopped logging in 9 days ago. Lara Chen (VP Data, primary contact) — last seen May 16.
  • Support escalation opened May 22. Ticket #4827, P2, performance complaint, still open.

Signals not firing: no overdue invoice, no contraction.

Suggested play. Exec sync this week. Maria owns the last QBR — looping in Sam (CRO) for cover. Reference the May QBR commitments, lead with the perf fix shipping Friday.

Generated by Basedash AI from your connected data sources Customer success
The prompt

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Instructions
Every 4 hours, check every paying account against the early-warning conditions:

- Weekly active users dropped > 30% in the past 14 days
- Three or more escalated support tickets in 14 days
- Two or more failed payments
- NPS / CSAT response in the past 30 days at 6 or below
- Executive sponsor inactive for 30+ days

If any account hits ≥ 2 conditions, post a single Slack message in #cs-alerts:

🚨 **<Account name> ($<ARR>) is showing churn risk**
- Conditions triggered: <list>
- Owner: <CSM>
- Suggested next step: <one-line play>

Skip accounts that fired in the past 7 days unless a new condition triggers.
Data sources

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Frequently asked questions

What are early warning signs of customer churn?
How early can you predict churn?

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