See renewal risk while it is still fixable
Health is a way to rank attention, not a verdict. How to turn the distribution into the specific list you work this week.
The job
“I want to know which customers need attention before the renewal is thirty days out.”
- Customer success managers
- CS leaders
- RevOps
Customer success work fails quietly. Nobody notices the account that stopped engaging until the renewal is close, and by then the conversation is a negotiation rather than a relationship. The signals were all present — usage drifting, the champion gone, tickets rising — and all in different places.
A health score does not predict anything. What it does is rank attention across a book too large to hold in your head, which is a smaller claim and a much more useful one.
What it moves
- Renewal risk surfaced
- Time to risk action
- Gross revenue retention
The division of labour
What RevTech does, and where you decide
In the product
How to do it
- Step 1 of 4
Read the distribution, not the average
Customer Health shows the health-score distribution and the at-risk save list, drillable by segment. The average is the least informative number on the page — a book with everybody at neutral and a book split between very healthy and very unhealthy have the same mean and nothing else in common.
The Customer Health view: health scores distributed across the customer book, with at-risk accounts surfaced so retention work starts before a renewal is in danger. Screenshot of the RevTech application; sample data. Health across the book. The distribution is the read; the mean is not. - Step 2 of 4
Drill from a segment into the accounts
Each health band drills into the accounts underneath it. That is how a distribution becomes a list of names, which is the only form in which any of this gets worked.
- Step 3 of 4
Produce an owned list every week
The output of this read is not a feeling about the book. It is a specific list of accounts, each with a named owner and a date, or an explicit reason it is fine. An account that appears on the at-risk list three weeks running with no owner is the finding, not the account.
- Step 4 of 4
Act on the health cards as they arrive
A health drop arrives with the reason — champion change, usage dip, ticket spike — and an intervention plan rather than just a number that moved. A stakeholder change in particular is worth treating as urgent: it is the signal with the longest lead time and the most predictable consequence.
Customer health shown as a distribution, so concentrations of risk are visible rather than hidden behind an average. Screenshot of the RevTech application; sample data. A health change with the reason attached, which is what makes it actionable.
What arrives
What this puts in your Action Center
| Item | What is prepared | How it resolves |
|---|---|---|
| HealthRisk | An intervention plan: the new-champion map and an executive agenda | The account |
| RenewalDue | A brief carrying the usage trend, the value recap and the risk flags | The account |
What to take away
- Health ranks attention. It does not predict an outcome, and using it as a prediction is how it loses credibility.
- Read the distribution. The mean hides the only two things worth knowing.
- The output is an owned list with dates, not an impression of the book.
- A champion change has the longest lead time of any signal here. Treat it as urgent.
Go deeper
The material behind this
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