Services
Customer Success
Renewal Risk Diagnosis
Identify accounts at risk of not renewing and quantify the revenue exposure before it's too late.
Performance
Renewal surprises happen when the data that would have predicted them wasn't being watched. An account goes quiet six weeks before renewal. The champion leaves and nobody updates the record. Usage drops steadily over three months while the CS notes say everything is fine. The renewal risk diagnosis pulls that data, validates which signals actually predicted churn in your historical data, and applies the model to your upcoming renewals while there's still time to intervene.
Renewal conversations that start with "we're happy to continue" are the easy ones. The hard ones are the renewals where the account went quiet six weeks before the renewal date and nobody noticed, the accounts where the original champion left and their replacement doesn't have the same context, and the accounts where usage has been declining for three months but the CSM's notes say everything is fine.
By the time a renewal is officially at risk, the window for recovery is often already closed. The account has evaluated alternatives. They've had internal conversations that didn't include you. They've started the procurement process for a replacement. Winning that renewal back requires a much larger intervention than catching the risk signal two months earlier would have.
What we do
We analyze your renewal history to identify which signals in the 90 days before renewal correlated with churn versus renewal. We then apply that model to your current upcoming renewals, scoring each one on risk and identifying the specific factors driving that risk for each account.
The output is an actionable list: these accounts are at risk, here's why, here's when to intervene, and here's what approach has worked for similar situations in your data.
For context on what this type of analysis typically surfaces, read the 7 patterns that predict churn before renewal conversations start.
Deliverable
A renewal risk report covering current upcoming renewals scored by risk level, risk factor analysis by account, intervention timeline recommendations, and a risk model you can run on future renewal cohorts.
Outcome
Renewals that get worked before they become a problem. A CSM team that knows where to focus in the 90-day window before renewal. Fewer surprise churns from accounts that were on the calendar as safe.
How Stratum Group Cut Reporting Time by 50% and Detected Churn 60 Days Earlier — cut decision time by 50% and started detecting churn 60 days earlier.
See how it worked in practice: Harbor Group reduced churn by 34%.
Best Fit
For any company with a recurring revenue model where renewal rates matter, particularly if you have more upcoming renewals than your CS team can individually vet. If your last three quarters included at least one renewal that surprised you, this engagement will show you the pattern you missed.