CX-301c · Module 2

Expansion Probability Scoring

3 min read

Predictive health models should predict growth, not just churn. Expansion probability scoring identifies which healthy accounts are most likely to expand — and what triggers the expansion conversation. The best new revenue comes from clients who already trust you. But not every healthy account is an expansion opportunity. The expansion probability score distinguishes between accounts that are satisfied and stable (likely to renew but not grow) and accounts that are satisfied and hungry (likely to renew AND expand).

Do This

  • Track expansion signals separately from health signals — high health does not automatically mean high expansion potential
  • Monitor for expansion triggers: new stakeholder engagement, adjacent problem mentions, budget cycle timing, and competitive displacement success
  • Score expansion probability using engagement momentum (is interaction increasing?), stakeholder expansion (are new people getting involved?), and need signals (are they raising new problems?)

Avoid This

  • Assume every healthy account is an expansion candidate — satisfaction does not equal hunger for more
  • Wait for the client to ask for expansion — the best expansion conversations are proactive, not reactive
  • Treat expansion as a sales function separate from CS — the CSM has the relationship context that makes expansion natural, not salesy