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The Renewal-Risk Detector

Surfaces customer accounts at risk of churn before the QBR by analyzing usage patterns, support tickets, and engagement signals.

Saves 3 hours/week Submitted by Sarah K., CSM at a B2B SaaS

What it does

Pulls product usage data, recent support tickets, and engagement metrics for each customer account on a CSM's book. Identifies accounts trending toward churn — drops in active users, increased support volume, missed milestone moments. Outputs a one-page brief per at-risk account, ranked by ARR, with three suggested intervention plays.

The Manus prompt

Copy this prompt and paste it into Manus AI to run the agent.

Every Monday at 7am, for each customer account in [your CRM], pull the last 30 days of: product usage stats, support ticket volume and sentiment, and engagement-metric trends. Identify any account with usage drop >25%, ticket spike >50%, or stalled milestone progress. For each at-risk account, generate a one-page brief with: account name, ARR, three churn signals observed, three suggested intervention plays (with email drafts ready), and a confidence score. Output as a Google Doc, sorted by ARR descending. Email me the link by 8am.

Tools required

SalesforceHubSpot

Best for

Customer Support

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