1. Current Account Footprint
2. Journey Transition Rates (Monthly)
Probability of moving from Staged ➔ Data Integrated next month.
Probability of an integration stalling out from Staged ➔ At-Risk directly.
Probability of moving from basic Integration ➔ Sticky High Utilization status.
Probability of an active customer losing usage and slipping into At-Risk status.
Probability that an At-Risk customer completely cancels contract next month.
Mathematical Portfolio Cohort Trajectory Projection
Horizon: 12 MonthsExecutive Interpretation Guide
How the Engine Thinks
Traditional analytics look at a static snapshot. This simulator treats your customer base as a dynamic system (a Markov Chain). Every month, accounts move between lifecycle milestones based on your operational conversion settings.
Because Churned is a structural "absorbing state"—meaning accounts that enter it never leave—the red line will steadily climb over time. Your mandate as a leader is to alter the transition velocity elsewhere to slow its growth.
The Critical Takehome Messages
- The Backlog Trap: If your Onboarding Success Rate is too low relative to your incoming volume, accounts bottleneck in Staged status, where they silently bleed ARR without ever recognizing core value.
- The Decay Horizon: Even if your current renewals look solid, look at the slope of the High Utilization line around Month 6. If your High Util Decay slider is high, a massive retention drop-off is mathematically locked into your pipeline months before the actual contracts expire.
- Operational Leverage: Move the At-Risk Churn Velocity down. Notice how saving even 5% of leaking accounts compounded month-over-month results in hundreds of thousands of dollars saved in total Month 12 Net Revenue.