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By the Time They Give Notice, You've Already Lost

Cancellation is the last event in a decay curve that started months earlier and left a measurable trail. The whole game is intervening while the save rate is still high.

Vincent Vallois, MRICSVincent Vallois, MRICSAI Transition Specialist

Save rates collapse at the notice stage

Once notice is served, expect to save 10–15% of accounts. Intervene ninety days or more before renewal on a leading indicator and save rates run 40–60%.

On €10M of recurring revenue with 20% churn, €2M is at risk each year. Moving the save rate from 12% to 40% retains around €560k annually, and almost all of it lands in EBITDA.

The signals that actually predict

Usage or login frequency declining over a sixty-day window. Support tickets going to zero — silence, not complaints. The departure of your internal champion, which carries two to three times the churn risk within two quarters. Payment drifting from fifteen days to forty-five. A skipped quarterly review. A narrowing set of services or features consumed.

Build these into a health score from zero to a hundred, then backtest it against twenty-four months of real cancellations. If it does not retrospectively predict who left, it is astrology with a dashboard on top.

Why exit interviews mislead you

Owners believe churn is a price problem because that is what the exit interview says. Exit interviews are polite. "Too expensive" is the socially acceptable version of "you never delivered anything I could point at".

The real cause usually sits four to six months upstream, in an onboarding that never produced a visible win. And the intervention has to be proof of value — the report showing what they received — not a discount. Discounting at the churn moment teaches your entire base to threaten.

What to do Monday

List every client lost in the last twenty-four months and mark the month their usage or contact frequency peaked. The median gap between peak and cancellation is your warning window.

Vincent Vallois, MRICS
Written byVincent Vallois, MRICSAI Transition Specialist

Deal maker across 30 countries, and an operator running AI-automated commercial operations day to day.

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Questions we get asked

How early can customer churn be predicted?

Typically four to six months. Save rates run 10–15% once notice is served and 40–60% when you intervene ninety or more days before renewal on a leading indicator.

Which signals predict churn?

Usage decline over sixty days, support tickets falling to zero, departure of your internal champion (two to three times churn risk within two quarters), payment slipping from fifteen to forty-five days, a skipped review, and narrowing service breadth.

Why are exit interviews misleading?

"Too expensive" is the polite version of "you never delivered anything I could point at". The real cause usually sits months upstream in an onboarding that produced no visible win.

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