Customer state machine from active engagement through model-flagged risk, agent-driven intervention, and terminal outcomes
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Inspecting compiled semantics
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Building overview
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Main path
• Four ordered states carry every customer along one rail
• At-Risk is a prediction, not a churn event
• Retained is a phase reached only when the risk is resolved
Uplift targeting
• Intervene on the persuadable, not sure-stayers or sure-leavers
• A randomized holdout measures true incremental retention
• Budget caps bound how many customers the agent may treat
Terminal outcomes
• Churned is an exit, not a pause in the lifecycle
• Won Back re-engages a lapsed account through a later campaign
• Retained and Won Back are the two positive terminal states
Lifecycle diagram • Built with Archify • Create yours ↗ • Hover to trace • R route • Click to focus • +/− zoom • M radar • [/] views • P play story • T theme • E export