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    CUSTOMER SUCCESS MANAGER

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    Customer Health Scoring

    Predict Outcomes With Data

    Build predictive health scoring models that identify churn risk and expansion readiness before traditional signals appear.

    "A health score that doesn't trigger action is just a number on a dashboard. The magic is in connecting the score to the playbook."
    — Customer Success Manager

    Customer health scoring is the foundation of proactive CS. The best health models combine leading indicators - product usage patterns, support ticket sentiment, engagement frequency, and stakeholder changes - into a weighted score that predicts renewal outcomes 60-90 days before traditional methods.

    But a health score is only as good as the actions it drives. The real power comes from connecting scores to automated playbooks: green accounts get expansion nurtures, yellow accounts trigger proactive outreach, and red accounts activate save campaigns with executive engagement.

    In this topic, you'll learn to design health scoring models tailored to your product, segment, and customer journey - models that predict outcomes, not just describe behavior.

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    1

    Leading indicators beat lagging indicators - track behavior, not just outcomes

    2

    Simplicity wins: Start with 5-7 inputs, not 50

    3

    Every score should drive a specific action or playbook

    4

    Calibrate against actual renewal data quarterly

    5

    Multi-signal is more reliable than single-signal

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