Am I about to lose this client?

Churn is a pattern, not an event

A client deciding to leave is rarely a reaction to a single month; it’s the accumulation of the promise being missed while nobody said so. By the time they give notice, they’ve been quietly disappointed for a stretch. The event is the notice; the cause is the pattern that preceded it, unflagged.

So “am I about to lose this client?” is answerable, because the pattern is visible in the data before the client acts — if you’re reading delivery against the promise over time rather than reporting each month in isolation.

The read that sees the pattern

Say your client was promised a steady flow of qualified leads above a set volume. The read tracks delivery against that promise across months and surfaces the trend: you’ve been under the agreed volume for three months running, widening — this is the shape that precedes a client leaving, and here’s the driver. That is a churn-risk verdict, not a monthly snapshot.

You get it while you can still act — fix the delivery, or get ahead of it with an honest conversation and a plan. The alternative is learning it from a notice email, having reported green-ish metrics the whole time the promise was slipping.

Risk you can act on

Because the read judges sustained delivery against the promise, the at-risk clients surface with the reason and the trend, so you can prioritise the relationships genuinely in danger rather than reacting to whoever complains loudest. The quiet, steadily-under-delivered client — the classic silent churn — is exactly the one the read catches.

So the question gets an early, honest answer: the clients whose promise has been unmet long enough to predict a departure, surfaced before the departure — so you spend your save-the-relationship effort where it’s actually needed.

Clients leave after the promise has been quietly unmet for a stretch, not over one bad month; through Unl the read watches delivery against the promise over time, so a sustained, widening shortfall surfaces as a churn-risk verdict — with the trend and driver — before it hardens into a notice, so you can act while the relationship is still savable.

Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.

Read further

• Am I delivering what I promised this client?
• Which client should I worry about this month?
• The portfolio review, through Unl