Work · Revenue · Retention
1 in 3 Cancellations that never happened
A B2B services firm was losing accounts quietly at renewal. We built the system that watches usage, flags risk early, and opens the conversation in time: renewal losses fell 31%.
The flags changed how my team spends its week. We used to spread check-ins evenly, so healthy accounts got the same attention as the ones drifting away. Now a drifting account gets a call four months before renewal, about the problem itself, not the invoice. The renewal conversation stopped being a negotiation and went back to being a conversation.
1 in 3
Cancellations that never happened
31%
Cut in renewal losses
Months
Of warning on at-risk accounts
01The challenge
Renewals failed silently. Usage drifted, the date arrived, and the first anyone heard was the cancellation. The signals existed, they just lived in systems nobody watched daily.
02The system
Signals watched continuously
Logins, feature use, support ticket tone, invoice payment lag, and turnover in the customer's main contact, read together instead of separately. Each signal is scored against the account's own history, so a quiet month never flags a loyal customer.
Risk flagged early
No single signal triggers anything on its own. When the combined score drifts, the account surfaces months before the renewal date, with the reasons attached.
The conversation opened
Account managers get the flag with a one-page context pack: the usage story, the open threads, and a recommended opening. The first call is about the problem itself, never the renewal.
Every save attributed
Every flag records what was raised, what was done, and how it ended, save or churn. The results feed the playbook, which sharpens each quarter.
Nothing new to run
The signals come from systems the firm already ran, and the flag lands as a single page in front of the account manager. There is no new dashboard to watch and nothing extra to log into.
People make the call
The system never contacts a customer. It raises the flag and assembles the context, and a person decides whether and how to reach out. The renewal itself is never the subject of that first call.
03The impact
31%
Nearly a third fewer customers were lost at renewal, measured against the prior year. That is earned revenue kept by conversations that start months before the renewal date.
Months
At-risk accounts now surface months ahead of the renewal date instead of at the cancellation. Fixing an account in that window costs far less than replacing it.
Every flag
Each flag carries its context, the action taken, and the result. Retention improves systematically instead of resting on any one manager's instincts.
Signals and the playbook Expand
What the system watches
No single signal triggers anything. The scoring reads them together, against each account's own history, so a quiet August does not get a loyal customer flagged.
The play, when an account drifts
- FlagThe account surfaces months before renewal, with the signals that moved it.
- Context packThe account manager gets the usage story, the open threads, and the recommended opening, one page, not a dashboard safari.
- The conversationA human calls about the problem itself. The renewal is never the subject of the first call.
- Outcome loggedSave or churn, the result is attributed to the play, and the playbook sharpens each quarter.
The context pack changed my calls more than the flags did. I used to open with how's everything going. Now I open with something specific we noticed, and customers tell me things they'd never have raised on their own.
Next step
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