When a CS team discovers a renewal is at risk less than 30 days before the renewal date, the save rate drops below 20%. Most teams find out even later, when procurement stalls or the champion stops responding. By then, the decision has already been made. The gap between an at-risk signal firing and a save play landing on someone's queue is the single largest preventable source of churn in most revenue orgs.
23 days
Industry-median time before renewal date that at-risk accounts get flagged
67 days
Average early identification for teams running multi-variable risk scoring
3.2x
Save-rate lift when intervention begins 60+ days before the renewal date
Why renewal risk surfaces late.
Diagnosis
Most renewal-risk identification is reactive. A CSM notices the customer has not responded to emails. A leader sees a renewal on the board that has not been discussed. Someone remembers a support escalation from three months ago. By the time these observations converge into a "this account is at risk" conversation, the customer has already started evaluating alternatives or decided to let the contract lapse.
The underlying problem is structural, not individual. Without a scoring model that continuously weighs multiple risk variables (usage trends, stakeholder health, support burden, contracting momentum, executive engagement, and market conditions), the team is left relying on memory and instinct. Instinct does not scale past 50 accounts per CSM.
The eight-variable renewal risk score.
Framework
A working renewal risk model is a weighted composite. Eight inputs, tuned per segment, computed daily. Each input fires as its own signal, and the composite triggers the save-play routing.
Engagement decay. Usage trend over the last 30-90 days. Steep decline in an account with a near-term renewal is the highest-signal variable in the model.
Stakeholder turnover. Champion or sponsor departure, changes in decision-maker set, new leadership. A champion change inside 120 days of renewal is a distinct composite signal.
Support burden. Ticket volume, severity, and unresolved escalations. Spikes correlate with churn even when usage looks healthy.
Contracting momentum. Has the renewal conversation started? Has pricing been discussed? Is a proposal out? Silence on these three items at day 60 is a signal, not a neutral state.
Executive sponsor gap. Identified executive sponsor, or not. Engaged or silent. An unsponsored renewal is structurally weaker regardless of other metrics.
NPS and health delta. Trailing NPS plus the change in composite account health over the last quarter.
Payment history. Delays, disputes, or contraction requests. Leading indicator of an account preparing to cut.
The composite fires against severity thresholds. Above the critical threshold, the account moves to T2 At-Risk and a save play is assigned. Below it, the account stays in T3 Monitor and compounds are watched.
The discipline
A renewal risk model that is not tuned quarterly against outcomes decays into noise. The weights are a hypothesis. The flywheel makes them real.
Renewal Risk is one of PILLAR's five scoring formulas. Every renewal is scored daily. The renewal_save play is a named template in the library with measured win rates. The triage board visualizes the full portfolio state. Saves feed back into scoring weights on a governed cadence.
Kanban view: Not Yet Due, Approaching, Urgent, Save in Progress, Resolved. Cards sorted by composite risk score. Click-through to full account decomposition.
renewal_save Play Template
Named play with sequenced tasks, effort estimates, SLAs, and measured win rates per segment. Auto-assigned when composite crosses the intervention threshold.
Starbridge Enrichment
For EdTech: district-level budget health, procurement pathway, and funding-environment signals feed directly into the market-context variable.
