On multi-year B2B contracts, the money is in the renewal — but the success team only called when renewal was near, by which point a disengaged account had already made up its mind. We moved the warning six months earlier.
In a subscription B2B business, closing the deal is just the start — the real profit comes from renewals and expansion. And this company was watching churn climb as contracts came up for renewal.
The customer-success team worked reactively. It reached out only when a renewal date approached — the exact moment a customer who hadn't been getting value had already decided to walk. There was no tool watching how engaged an account actually was, so a client hitting problems or quietly winding down its usage went unnoticed until it was too late to act.
The same blindness cost growth. Account managers had no way to see when a client was expanding — opening branches, hiring, leaning harder on the product — which are exactly the moments to offer more licences or modules. The upside was slipping by unseen alongside the churn.
A health score that sees trouble coming — and opportunity — six months out.
We connected each client's daily usage of the product with their support history and the financials from the CRM into a single client-health dashboard — one honest read on how every account is really doing.
A model spots patterns of retreat — say a 25% drop in an organisation's active users over two months — and raises an “account at risk” alert to the account manager six months before the renewal, while there's still time to fix it.
The same engine reads growth signals in an account and recommends the relevant upgrade — more licences or modules — so account managers catch expansion at the moment the need appears.
For each flagged account, the system builds a tailored play: it drafts a proactive check-in email, schedules a strategic review (a QBR), or prepares an upgraded quote matched to the client's actual usage.
With the alert arriving half a year out instead of thirty days, the commercial team finally has time to resolve issues, renegotiate and re-present value — rather than firefighting a decision already made.
The AI scores the risk and drafts the play; the account manager judges, personalises and makes the call. The model points them at the right account at the right time — it doesn't run the relationship.
Renewals saved early, expansion caught in time.
The renewal-and-retention win rate rose to a record average of 68.5% across the book, and gross customer churn fell 30% in the first year — simply by acting on early warnings instead of last-minute ones.
Revenue from upsell and cross-sell within the existing customer base grew about 18%, driven by catching real buying signals and growing needs proactively rather than by chance.
You can't rescue a renewal in the last thirty days — the decision is already made. The win came from reading engagement continuously and acting on it months ahead, the same behavioural early-warning discipline behind our churn-prediction work, pointed at high-value B2B accounts. The account manager still owns every conversation; the model just makes sure it happens while there's still a deal to save.
Reef TRH