What is a RevOps
churn radar?

The signals that a customer is slipping are almost always there, usage dropping, support tickets rising, invoices slowing, but scattered across tools and noticed too late. A radar watches them for you and surfaces the at-risk account with the why, while there's still time to save the renewal. The same view shows where the hidden revenue is, so the conversation shifts from cutting costs to growing accounts.

We built exactly this with Vantum: Sentinel turns a RevOps methodology into a digital brain that computes up to 127 metrics and raises alerts before the renewal.

The point of a radar is action, not another chart. A good one hands whoever owns client growth a short monthly to-do list: these accounts are slipping and here is why, these are ready to buy more. It catches churn early and surfaces expansion at the same time, which takes the pressure off cutting costs.

This is what Sentinel does for Vantum: it computes up to 127 metrics from one data drop and alerts the moment a number breaks its threshold.

Under the hood, a good radar runs on a simple structure Vantum calls metrics, drivers and outcomes, the Moneyball idea applied to recurring revenue. Instead of going on gut, you track the specific metrics that, grouped into drivers, actually predict an outcome: whether an account stays, grows, or leaves. The methodology is the asset; the radar just runs it the same way every time.

With Sentinel, that method lives in a knowledge graph, and an audit workflow runs a client's data against it to compute up to 127 metrics from a single data drop.

A radar is only useful if you can act on it without second-guessing. That's why the good ones run 100% deterministically: the same inputs produce the same read on every run, no creative drift, no "it said something different yesterday". The intelligence sits in the methodology and the graph it reasons over, not in a model improvising each time.

That reliability is what lets a non-technical owner trust the output, and own it. Boy at Vantum went from zero graph knowledge to running and extending Sentinel himself: every new signal he learns becomes a new metric the radar watches.

A radar doesn't need new data; it needs the signals already scattered across your stack, pulled into one place and watched on a schedule:

• Usage, is the product being used less than it was?
• Billing, are invoices slowing, or plans shrinking?
• CRM activity, have the conversations gone quiet?
• Support and surveys, are tickets rising, is sentiment dropping?

Each is a weak signal on its own. Watched together against the right thresholds, they catch the slip early, and show where the next expansion is hiding.

The real change is posture. Without a radar, retention is reactive: you learn an account is unhappy when they ask to cancel, and by then the renewal is already gone. With one, the same information arrives weeks earlier, with a reason attached, so a quiet check-in or a small fix replaces an awkward save call.

Across a whole book of business, that gap, catching the slip early instead of late, is the difference between a churn number you explain after the fact and one you actually move. And because the radar surfaces expansion in the same pass, the team's attention shifts from defending revenue to growing the accounts already in front of them, which is usually where the easiest growth was hiding all along.