Churn Risk Agent
Scores your accounts for churn risk, ranks by revenue at risk, and writes the save play.
By Mark Barclay · Last updated
Retention work fails when it treats every at-risk account equally. This agent ranks by revenue at risk, so the £1,200-a-month account that has gone quiet outranks the £90 one that always complains.
Key takeaways
- •Ranks accounts by revenue at risk, not just risk score.
- •Names the specific signal driving each account's score.
- •Writes a save play per account rather than a generic playbook.
- •Flags accounts where you simply don't have enough data to judge.
Run the Churn Risk Agent
Scores your accounts for churn risk, ranks by revenue at risk, and writes the save play.
How does the Churn Risk Agent actually run?
It runs as a pipeline, not a conversation. When you press run, the agent works through 4 steps on SynaBot's servers and returns a structured deliverable rather than a chat reply.
- 1Parsing the account list
- 2Scoring risk signals
- 3Ranking by revenue at risk
- 4Writing save plays
How do I use the Churn Risk Agent?
- 1.Paste your accounts, one per line, with value and any signals you have.
- 2.Say what they buy from you.
- 3.Review the ranking and the top signal for each account.
- 4.Approve to draft the save-play outreach messages.
What's the difference between an AI Agent and an AI Assistant?
An AI Assistant is a conversation: you ask, it answers. An AI Agent is a program: you give it an input, it executes a multi-step plan on its own — fetching, extracting, scoring, drafting — and returns a finished deliverable. Where the Churn Risk Agent would produce something you'd send or publish, it stops and waits for your approval first.
Is it safe to use with business data?
Yes, within sensible limits. The agent only sees what you paste or the public URLs you supply, it runs on business-tier models that don't train on your inputs, and it never gains write access to your systems. Any draft it produces stays on your screen until you choose to use it. Don't paste anything you wouldn't share with an external consultant.
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Last reviewed July 2026 by Mark Barclay, founder of SynaBot.