{
  "pack": "churn",
  "description": "Customer churn prediction vocabulary — risk scoring, retention, usage analysis, customer health",
  "actions": [
    {
      "canonical": "predict",
      "synonyms": [
        "predict", "forecast", "estimate", "project", "anticipate", "calculate probability",
        "compute risk", "score", "rate", "evaluate", "assess probability", "determine likelihood"
      ],
      "phrases": [
        "predict churn", "predict the risk", "forecast churn", "estimate churn probability",
        "calculate churn score", "compute risk score", "assess churn risk", "score the customer"
      ]
    },
    {
      "canonical": "score",
      "synonyms": [
        "score", "rank", "rate", "grade", "quantify", "measure health", "compute score",
        "generate score", "health score", "risk score", "calculate score"
      ],
      "phrases": [
        "score the customer", "generate a risk score", "calculate health score",
        "rank by churn risk", "rate the account", "compute the score", "get the risk score"
      ]
    },
    {
      "canonical": "flag",
      "synonyms": [
        "flag", "alert", "mark", "tag", "label", "identify", "surface", "highlight",
        "escalate", "raise", "bubble up", "call out", "identify at-risk", "mark as at-risk"
      ],
      "phrases": [
        "flag at-risk customers", "flag churning customers", "mark as high risk",
        "identify at-risk accounts", "surface at-risk customers", "highlight churn risk",
        "escalate to account manager", "tag as churn risk"
      ]
    },
    {
      "canonical": "analyze",
      "synonyms": [
        "analyze", "analyse", "investigate", "examine", "diagnose", "understand",
        "break down", "deep dive", "drill into", "explore", "study", "review",
        "audit", "dissect", "profile", "characterize"
      ],
      "phrases": [
        "analyze churn drivers", "investigate why customers churn", "examine usage patterns",
        "diagnose the drop", "understand the decline", "deep dive into", "audit the account",
        "profile the customer", "break down the churn", "explore usage trends"
      ]
    },
    {
      "canonical": "retain",
      "synonyms": [
        "retain", "save", "recover", "rescue", "win back", "prevent churn", "keep",
        "hold", "lock in", "renew", "re-engage", "reactivate", "revive", "bring back",
        "win over", "prevent cancellation", "stop the churn"
      ],
      "phrases": [
        "retain the customer", "save the account", "prevent churn for", "win back the customer",
        "re-engage the user", "prevent cancellation", "stop them from churning",
        "rescue the account", "bring back the churned customer", "reactivate the account"
      ]
    },
    {
      "canonical": "monitor",
      "synonyms": [
        "monitor", "watch", "track", "observe", "check", "keep an eye on", "follow",
        "audit usage", "watch for signals", "detect", "sense", "scan for", "alert on",
        "watch the trend", "monitor health"
      ],
      "phrases": [
        "monitor customer health", "track usage trends", "watch for churn signals",
        "monitor churn indicators", "keep an eye on at-risk accounts", "observe the trend",
        "detect early churn signals", "monitor feature adoption", "track login activity"
      ]
    }
  ],
  "targets": [
    {
      "canonical": "risk",
      "synonyms": [
        "risk", "churn risk", "risk level", "risk score", "health score", "risk signal",
        "churn probability", "churn score", "attrition risk", "cancellation risk",
        "risk indicator", "risk factor", "danger signal"
      ],
      "phrases": ["the churn risk", "risk level", "risk score", "churn probability", "health score"]
    },
    {
      "canonical": "cohort",
      "synonyms": [
        "cohort", "cohorts", "group", "batch", "segment group", "customer group",
        "customer set", "subset", "behavioral cohort", "usage cohort", "signup cohort"
      ],
      "phrases": ["the cohort", "customer cohort", "analyze by cohort", "cohort analysis"]
    },
    {
      "canonical": "segment",
      "synonyms": [
        "segment", "segments", "slice", "tier", "cluster", "customer tier", "risk tier",
        "customer cluster", "usage segment", "high-risk segment", "low-usage segment"
      ],
      "phrases": ["the segment", "customer segment", "risk segment", "by segment", "segment analysis"]
    },
    {
      "canonical": "health",
      "synonyms": [
        "health", "account health", "customer health", "health score", "health status",
        "health metrics", "overall health", "customer wellbeing", "relationship health"
      ],
      "phrases": ["customer health", "account health", "health score", "health metrics", "overall health"]
    }
  ],
  "phrases": [
    {"phrase": "predict churn for", "action": "predict"},
    {"phrase": "churn probability for", "action": "predict"},
    {"phrase": "flag at-risk", "action": "flag"},
    {"phrase": "identify at-risk", "action": "flag"},
    {"phrase": "at-risk customers", "action": "flag"},
    {"phrase": "which customers are likely to churn", "action": "predict"},
    {"phrase": "customers at risk of churning", "action": "flag"},
    {"phrase": "analyze churn drivers", "action": "analyze"},
    {"phrase": "why did the customer churn", "action": "analyze"},
    {"phrase": "what caused the churn", "action": "analyze"},
    {"phrase": "churn reasons for", "action": "analyze"},
    {"phrase": "retain the customer", "action": "retain"},
    {"phrase": "save the account", "action": "retain"},
    {"phrase": "prevent churn", "action": "retain"},
    {"phrase": "win back", "action": "retain"},
    {"phrase": "health score for", "action": "score"},
    {"phrase": "risk score for", "action": "score"},
    {"phrase": "monitor health", "action": "monitor"},
    {"phrase": "track churn signals", "action": "monitor"},
    {"phrase": "watch for churn", "action": "monitor"},
    {"phrase": "customers with declining", "action": "flag"},
    {"phrase": "customers with no logins", "action": "flag"},
    {"phrase": "inactive customers", "action": "flag"},
    {"phrase": "customers who haven't logged in", "action": "flag"},
    {"phrase": "low feature adoption", "action": "analyze"},
    {"phrase": "churned customers", "action": "analyze"},
    {"phrase": "lost customers", "action": "analyze"},
    {"phrase": "reactivate the account", "action": "retain"},
    {"phrase": "re-engage the customer", "action": "retain"}
  ],
  "domain_signals": {
    "churn": {
      "churn": 10,
      "at risk": 9,
      "at-risk": 9,
      "churned": 10,
      "churn rate": 10,
      "churn risk": 10,
      "churn probability": 10,
      "churn prediction": 10,
      "churn score": 9,
      "churn driver": 9,
      "churn indicator": 9,
      "risk score": 8,
      "health score": 8,
      "customer health": 8,
      "account health": 8,
      "attrition": 9,
      "cancellation risk": 9,
      "likely to churn": 10,
      "cancel their subscription": 7,
      "not renewing": 8,
      "non-renewal": 8,
      "disengaged": 7,
      "inactive customer": 8,
      "no logins": 8,
      "zero logins": 8,
      "low usage": 7,
      "declining usage": 8,
      "dropping off": 7,
      "high churn risk": 10,
      "early warning": 7,
      "churn signal": 9
    },
    "retention": {
      "retain": 9,
      "retention": 10,
      "retention rate": 10,
      "renewal": 8,
      "renew": 8,
      "re-engage": 8,
      "reactivate": 8,
      "win back": 9,
      "save the account": 9,
      "prevent churn": 10,
      "healthy customer": 8,
      "engaged customer": 8,
      "active user": 7,
      "loyal customer": 8,
      "net revenue retention": 10,
      "nrr": 8,
      "gross revenue retention": 10,
      "grr": 8,
      "customer success": 7,
      "expansion revenue": 8,
      "upsell": 6,
      "advocacy": 6
    }
  }
}
