Operations Manager, Project Leader
Rank the accounts most likely to churn this quarter
Pulls account-level usage weekly from your analytics API and maintains a ranked at-risk list with what changed for each.
Churn looks sudden from the outside and gradual from the inside: logins thin out, the power user goes quiet, the integrations stop firing, and then the cancellation email arrives looking like a surprise. Your agent watches for the gradual part. With a key for your analytics or product-usage API, it pulls account-level activity every week and compares each account against its own history.
How it works
- 01
The output is a ranked at-risk table on your desk: account, what changed, how fast, and how long the decline has run. Rankings come from each account's deviation from its own baseline, which the agent holds in memory, so a naturally quiet account is not flagged for being itself, and a loud one is flagged the week it goes merely normal. Each row says something actionable: weekly active seats down forty percent over six weeks, the admin who set everything up has not logged in this month.
- 02
A weekly Slack note lists new arrivals to the list and anyone who recovered. Tell the agent the outcome when you intervene, saved, churned anyway, false alarm, and the ranking criteria sharpen. After a quarter, the list stops being a guess and starts being the agenda for your customer calls.