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GlossaryBehavioral Intelligence

Churn Probability Score

What is a Churn Probability Score?

A Churn Probability Score (CPS) is a 0–100 numerical score estimating the likelihood that a client requires proactive advisor attention, due to behavioral drift, unusual portfolio activity, a detected mismatch between stated risk profile and observed behavior, or declining engagement signals.

CPS is not a prediction that a client will close their account. It is a behavioral attention signal for the advisor to review.

Compliance note: CPS is designed as an advisor-review signal only. It does not constitute investment advice, a prediction of client behavior, or a recommendation to take action. Advisors remain responsible for all client relationship decisions.

What feeds the score

Behavioral drift (30%): Change in a client's observed decision-making patterns relative to their historical baseline.
Panic propensity (25%): How likely a client is to overreact to short-term market volatility based on past behavior.
Concentration anxiety (20%): Signals that a client is uneasy about portfolio concentration, often expressed through repeated contact or inconsistent instructions.
Days since last engagement (15%): How long it has been since the client last interacted with their advisor or the platform.
Portfolio risk mismatch (10%): Divergence between the client's current portfolio risk level and their stated risk profile.

Risk bands

0–25 · Low

No action needed. Client behavior is consistent with their profile.

26–50 · Medium

Worth noting during the next scheduled review.

51–75 · High

Advisor should review before the next client touchpoint.

76–100 · Critical

Advisor should prioritize a review in the near term.

How IFAs use it

Advisors typically use CPS to build a Monday morning list of the top-3 at-risk clients to follow up with, as part of a weekly digest summarizing book-wide attention risk, and as a pre-meeting prep flag so the advisor knows what to address before a scheduled review.

How NeuFin measures it

NeuFin computes CPS using its behavioral drift detector, risk engine, and cross-portfolio analyzer, combining the inputs above into a single score with the top contributing reasons surfaced alongside it.

Related terms