客户流失预警系统是什么?全面解析客户流失预警系统的方方面面

// 客户实体模型定义
public class Customer
{
    public int Id { get; set; }
    public string Name { get; set; }
    public string Email { get; set; }
    public DateTime RegistrationDate { get; set; }
    public DateTime LastLoginDate { get; set; }
    public int LoginCount { get; set; }
    public decimal TotalSpending { get; set; }
    public int ComplaintCount { get; set; }
    public double ChurnRiskScore { get; set; }
    public DateTime RiskUpdateTime { get; set; }
}

// 客户行为记录模型
public class CustomerBehavior
{
    public int Id { get; set; }
    public int CustomerId { get; set; }
    public string ActionType { get; set; }
    public DateTime ActionTime { get; set; }
    public string Details { get; set; }
    public Customer Customer { get; set; }
}

// 客户流失风险计算函数
class ChurnPredictor {
  constructor(model) {
    this.model = model;
  }

  // 计算客户流失概率
  calculateChurnProbability(customerData) {
    const features = this.extractFeatures(customerData);
    const probability = this.model.predict(features);
    return {
      customerId: customerData.id,
      churnProbability: probability,
      riskLevel: this.assessRiskLevel(probability),
      timestamp: new Date().toISOString()
    };
  }

  // 特征提取
  extractFeatures(customerData) {
    return {
      loginFrequency: customerData.loginCount / customerData.registrationDays,
      spendingTrend: customerData.recentSpending / customerData.avgSpending,
      complaintRatio: customerData.complaintCount / customerData.interactionCount,
      inactivityDays: this.calculateInactivityDays(customerData.lastLoginDate)
    };
  }

  // 风险评估
  assessRiskLevel(probability) {
    if (probability >= 0.8) return 'CRITICAL';
    if (probability >= 0.6) return 'HIGH';
    if (probability >= 0.4) return 'MEDIUM';
    return 'LOW';
  }
}