# v1.7.0 - 使用分析与预测

## 用户行为分析

```go
func (a *Analytics) GetUserEngagement(ctx context.Context, userID int64) (*EngagementMetrics, error) {
    metrics := &EngagementMetrics{}
    
    // 消息发送频率
    metrics.MessagesPerDay = a.getMessageCount(ctx, userID, 24*time.Hour) / 30
    
    // 功能使用情况
    metrics.FeaturesUsed = a.getFeatureUsage(ctx, userID)
    
    // 存储使用趋势
    metrics.StorageGrowth = a.getStorageGrowth(ctx, userID)
    
    return metrics, nil
}

func (a *Analytics) PredictChurn(ctx context.Context, userID int64) float64 {
    // 基于使用频率预测流失风险
    metrics, _ := a.GetUserEngagement(ctx, userID)
    
    risk := 0.0
    if metrics.MessagesPerDay < 5 {
        risk += 0.3
    }
    if len(metrics.FeaturesUsed) < 3 {
        risk += 0.4
    }
    
    return risk
}
```

## 收入预测

```go
func (a *Analytics) PredictRevenue(ctx context.Context) (*RevenueForecast, error) {
    // 基于历史数据和增长趋势预测
    historical := a.getHistoricalRevenue(ctx, 90*24*time.Hour)
    
    forecast := &RevenueForecast{
        NextMonth:   historical.AvgMonthly * 1.1,  // 10%增长假设
        NextQuarter: historical.AvgMonthly * 3 * 1.15,
    }
    
    return forecast, nil
}
```