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Plugin Analytics

This guide covers comprehensive analytics implementation for Qirvo plugins, including usage tracking, performance monitoring, and business intelligence.

Table of Contents​

Analytics Architecture​

Analytics Framework​

// Core analytics framework for Qirvo plugins
export class QirvoAnalytics {
  private config: AnalyticsConfig;
  private collectors: Map<string, DataCollector> = new Map();
  private processors: Map<string, DataProcessor> = new Map();
  private storage: AnalyticsStorage;
  private privacy: PrivacyManager;
  
  constructor(config: AnalyticsConfig) {
    this.config = config;
    this.storage = new AnalyticsStorage(config.storage);
    this.privacy = new PrivacyManager(config.privacy);
    this.setupCollectors();
    this.setupProcessors();
  }
  
  private setupCollectors(): void {
    // Usage collector
    this.collectors.set('usage', new UsageCollector({
      trackClicks: true,
      trackPageViews: true,
      trackFeatureUsage: true,
      trackUserFlow: true
    }));
    
    // Performance collector
    this.collectors.set('performance', new PerformanceCollector({
      trackLoadTimes: true,
      trackMemoryUsage: true,
      trackCPUUsage: true,
      trackNetworkRequests: true
    }));
    
    // Error collector
    this.collectors.set('errors', new ErrorCollector({
      trackJavaScriptErrors: true,
      trackNetworkErrors: true,
      trackPluginErrors: true,
      captureStackTraces: true
    }));
    
    // Business collector
    this.collectors.set('business', new BusinessCollector({
      trackConversions: true,
      trackRevenue: true,
      trackUserSegments: true,
      trackRetention: true
    }));
  }
  
  private setupProcessors(): void {
    // Real-time processor
    this.processors.set('realtime', new RealtimeProcessor({
      windowSize: 1000, // 1 second
      alertThresholds: {
        errorRate: 0.05,
        responseTime: 2000,
        memoryUsage: 0.8
      }
    }));
    
    // Batch processor
    this.processors.set('batch', new BatchProcessor({
      batchSize: 1000,
      flushInterval: 60000, // 1 minute
      retryAttempts: 3
    }));
    
    // Aggregation processor
    this.processors.set('aggregation', new AggregationProcessor({
      intervals: ['1m', '5m', '1h', '1d'],
      metrics: ['count', 'sum', 'avg', 'min', 'max', 'percentile']
    }));
  }
  
  // Public API
  track(event: AnalyticsEvent): void {
    // Privacy check
    if (!this.privacy.canTrack(event)) {
      return;
    }
    
    // Enrich event
    const enrichedEvent = this.enrichEvent(event);
    
    // Route to appropriate collector
    const collector = this.collectors.get(event.category);
    if (collector) {
      collector.collect(enrichedEvent);
    }
  }
  
  private enrichEvent(event: AnalyticsEvent): EnrichedEvent {
    return {
      ...event,
      timestamp: Date.now(),
      sessionId: this.getSessionId(),
      userId: this.getUserId(),
      deviceInfo: this.getDeviceInfo(),
      pluginVersion: this.config.pluginVersion,
      qirvoVersion: this.getQirvoVersion()
    };
  }
}

interface AnalyticsConfig {
  pluginId: string;
  pluginVersion: string;
  apiKey: string;
  storage: StorageConfig;
  privacy: PrivacyConfig;
  sampling?: SamplingConfig;
}

interface AnalyticsEvent {
  category: string;
  action: string;
  label?: string;
  value?: number;
  properties?: Record<string, any>;
}

Event Tracking​

Event Collection System​

// Comprehensive event tracking system
export class EventTracker {
  private analytics: QirvoAnalytics;
  private eventBuffer: EventBuffer;
  private validators: Map<string, EventValidator> = new Map();
  
  constructor(analytics: QirvoAnalytics) {
    this.analytics = analytics;
    this.eventBuffer = new EventBuffer();
    this.setupValidators();
    this.setupAutoTracking();
  }
  
  // Manual event tracking
  trackEvent(
    category: string,
    action: string,
    properties?: Record<string, any>
  ): void {
    const event: AnalyticsEvent = {
      category,
      action,
      properties: {
        ...properties,
        timestamp: Date.now(),
        source: 'manual'
      }
    };
    
    this.analytics.track(event);
  }
  
  // User interaction tracking
  trackUserInteraction(
    element: string,
    interaction: InteractionType,
    context?: Record<string, any>
  ): void {
    this.trackEvent('user_interaction', `${interaction}_${element}`, {
      element,
      interaction,
      context,
      source: 'auto'
    });
  }
  
  // Feature usage tracking
  trackFeatureUsage(
    feature: string,
    action: string,
    metadata?: Record<string, any>
  ): void {
    this.trackEvent('feature_usage', action, {
      feature,
      metadata,
      duration: this.getFeatureUsageDuration(feature)
    });
  }
  
  // Page/view tracking
  trackPageView(
    page: string,
    properties?: Record<string, any>
  ): void {
    this.trackEvent('page_view', 'view', {
      page,
      referrer: document.referrer,
      url: window.location.href,
      ...properties
    });
  }
  
  // Custom dimension tracking
  setCustomDimension(key: string, value: string): void {
    this.analytics.setCustomDimension(key, value);
  }
  
  // User properties
  setUserProperties(properties: Record<string, any>): void {
    this.analytics.setUserProperties(properties);
  }
  
  private setupAutoTracking(): void {
    // Auto-track clicks
    document.addEventListener('click', (event) => {
      const target = event.target as HTMLElement;
      if (this.shouldTrackElement(target)) {
        this.trackUserInteraction(
          this.getElementIdentifier(target),
          'click',
          {
            tagName: target.tagName,
            className: target.className,
            id: target.id
          }
        );
      }
    });
    
    // Auto-track form submissions
    document.addEventListener('submit', (event) => {
      const form = event.target as HTMLFormElement;
      this.trackEvent('form_interaction', 'submit', {
        formId: form.id,
        formName: form.name,
        fieldCount: form.elements.length
      });
    });
    
    // Auto-track page visibility
    document.addEventListener('visibilitychange', () => {
      this.trackEvent('page_visibility', 
        document.hidden ? 'hidden' : 'visible',
        { timestamp: Date.now() }
      );
    });
  }
}

// Event validation system
export class EventValidator {
  private schema: EventSchema;
  
  constructor(schema: EventSchema) {
    this.schema = schema;
  }
  
  validate(event: AnalyticsEvent): ValidationResult {
    const errors: string[] = [];
    
    // Required fields
    if (this.schema.required) {
      this.schema.required.forEach(field => {
        if (!(field in event)) {
          errors.push(`Missing required field: ${field}`);
        }
      });
    }
    
    // Field types
    if (this.schema.properties) {
      Object.entries(this.schema.properties).forEach(([field, definition]) => {
        if (field in event) {
          const value = (event as any)[field];
          if (!this.validateType(value, definition.type)) {
            errors.push(`Invalid type for ${field}: expected ${definition.type}`);
          }
        }
      });
    }
    
    // Custom validation
    if (this.schema.customValidator) {
      const customErrors = this.schema.customValidator(event);
      errors.push(...customErrors);
    }
    
    return {
      valid: errors.length === 0,
      errors
    };
  }
}

interface EventSchema {
  required?: string[];
  properties?: Record<string, PropertyDefinition>;
  customValidator?: (event: AnalyticsEvent) => string[];
}

type InteractionType = 'click' | 'hover' | 'focus' | 'scroll' | 'drag' | 'drop';

Performance Monitoring​

Performance Analytics​

// Performance monitoring and analytics
export class PerformanceAnalytics {
  private metrics: Map<string, PerformanceMetric> = new Map();
  private observers: Map<string, PerformanceObserver> = new Map();
  private analytics: QirvoAnalytics;
  
  constructor(analytics: QirvoAnalytics) {
    this.analytics = analytics;
    this.setupPerformanceObservers();
    this.startMetricsCollection();
  }
  
  private setupPerformanceObservers(): void {
    // Navigation timing
    if ('PerformanceObserver' in window) {
      const navigationObserver = new PerformanceObserver((list) => {
        list.getEntries().forEach(entry => {
          if (entry.entryType === 'navigation') {
            this.trackNavigationTiming(entry as PerformanceNavigationTiming);
          }
        });
      });
      
      navigationObserver.observe({ entryTypes: ['navigation'] });
      this.observers.set('navigation', navigationObserver);
    }
    
    // Resource timing
    const resourceObserver = new PerformanceObserver((list) => {
      list.getEntries().forEach(entry => {
        if (entry.entryType === 'resource') {
          this.trackResourceTiming(entry as PerformanceResourceTiming);
        }
      });
    });
    
    resourceObserver.observe({ entryTypes: ['resource'] });
    this.observers.set('resource', resourceObserver);
    
    // User timing
    const userTimingObserver = new PerformanceObserver((list) => {
      list.getEntries().forEach(entry => {
        this.trackUserTiming(entry);
      });
    });
    
    userTimingObserver.observe({ entryTypes: ['measure', 'mark'] });
    this.observers.set('userTiming', userTimingObserver);
  }
  
  private trackNavigationTiming(entry: PerformanceNavigationTiming): void {
    const metrics = {
      domContentLoaded: entry.domContentLoadedEventEnd - entry.domContentLoadedEventStart,
      loadComplete: entry.loadEventEnd - entry.loadEventStart,
      domInteractive: entry.domInteractive - entry.navigationStart,
      firstPaint: this.getFirstPaint(),
      firstContentfulPaint: this.getFirstContentfulPaint(),
      timeToInteractive: this.calculateTTI(entry)
    };
    
    Object.entries(metrics).forEach(([metric, value]) => {
      if (value > 0) {
        this.analytics.track({
          category: 'performance',
          action: 'navigation_timing',
          label: metric,
          value,
          properties: { unit: 'milliseconds' }
        });
      }
    });
  }
  
  private trackResourceTiming(entry: PerformanceResourceTiming): void {
    const resourceType = this.getResourceType(entry.name);
    const loadTime = entry.responseEnd - entry.requestStart;
    
    this.analytics.track({
      category: 'performance',
      action: 'resource_timing',
      label: resourceType,
      value: loadTime,
      properties: {
        url: entry.name,
        size: entry.transferSize,
        cached: entry.transferSize === 0,
        protocol: entry.nextHopProtocol
      }
    });
  }
  
  // Memory usage monitoring
  startMemoryMonitoring(): void {
    if ('memory' in performance) {
      setInterval(() => {
        const memory = (performance as any).memory;
        
        this.analytics.track({
          category: 'performance',
          action: 'memory_usage',
          properties: {
            usedJSHeapSize: memory.usedJSHeapSize,
            totalJSHeapSize: memory.totalJSHeapSize,
            jsHeapSizeLimit: memory.jsHeapSizeLimit,
            utilization: memory.usedJSHeapSize / memory.jsHeapSizeLimit
          }
        });
      }, 30000); // Every 30 seconds
    }
  }
  
  // Custom performance marks
  mark(name: string): void {
    performance.mark(name);
  }
  
  measure(name: string, startMark: string, endMark?: string): void {
    performance.measure(name, startMark, endMark);
  }
  
  // Plugin-specific performance tracking
  trackPluginPerformance(operation: string, duration: number): void {
    this.analytics.track({
      category: 'plugin_performance',
      action: operation,
      value: duration,
      properties: {
        unit: 'milliseconds',
        timestamp: Date.now()
      }
    });
  }
  
  // Real User Monitoring (RUM)
  trackRealUserMetrics(): void {
    // Core Web Vitals
    this.trackWebVitals();
    
    // Custom metrics
    this.trackCustomMetrics();
  }
  
  private trackWebVitals(): void {
    // Largest Contentful Paint
    new PerformanceObserver((list) => {
      const entries = list.getEntries();
      const lastEntry = entries[entries.length - 1];
      
      this.analytics.track({
        category: 'web_vitals',
        action: 'lcp',
        value: lastEntry.startTime,
        properties: { element: lastEntry.element?.tagName }
      });
    }).observe({ entryTypes: ['largest-contentful-paint'] });
    
    // First Input Delay
    new PerformanceObserver((list) => {
      list.getEntries().forEach(entry => {
        this.analytics.track({
          category: 'web_vitals',
          action: 'fid',
          value: entry.processingStart - entry.startTime,
          properties: { eventType: entry.name }
        });
      });
    }).observe({ entryTypes: ['first-input'] });
    
    // Cumulative Layout Shift
    let clsScore = 0;
    new PerformanceObserver((list) => {
      list.getEntries().forEach(entry => {
        if (!entry.hadRecentInput) {
          clsScore += entry.value;
        }
      });
      
      this.analytics.track({
        category: 'web_vitals',
        action: 'cls',
        value: clsScore
      });
    }).observe({ entryTypes: ['layout-shift'] });
  }
}

User Behavior Analytics​

Behavior Tracking​

// User behavior analysis system
export class BehaviorAnalytics {
  private analytics: QirvoAnalytics;
  private sessionManager: SessionManager;
  private funnelTracker: FunnelTracker;
  private cohortAnalyzer: CohortAnalyzer;
  
  constructor(analytics: QirvoAnalytics) {
    this.analytics = analytics;
    this.sessionManager = new SessionManager();
    this.funnelTracker = new FunnelTracker(analytics);
    this.cohortAnalyzer = new CohortAnalyzer(analytics);
  }
  
  // User journey tracking
  trackUserJourney(step: string, properties?: Record<string, any>): void {
    const journeyData = {
      step,
      sessionId: this.sessionManager.getCurrentSessionId(),
      timestamp: Date.now(),
      properties
    };
    
    this.analytics.track({
      category: 'user_journey',
      action: 'step_completed',
      label: step,
      properties: journeyData
    });
    
    // Update funnel tracking
    this.funnelTracker.recordStep(step, journeyData);
  }
  
  // Feature adoption tracking
  trackFeatureAdoption(feature: string, adoptionLevel: AdoptionLevel): void {
    this.analytics.track({
      category: 'feature_adoption',
      action: adoptionLevel,
      label: feature,
      properties: {
        userId: this.analytics.getUserId(),
        firstUse: this.isFirstUse(feature),
        sessionCount: this.sessionManager.getSessionCount()
      }
    });
  }
  
  // User engagement scoring
  calculateEngagementScore(): EngagementScore {
    const sessionData = this.sessionManager.getCurrentSession();
    const score = {
      timeSpent: this.scoreTimeSpent(sessionData.duration),
      actionsPerformed: this.scoreActions(sessionData.actionCount),
      featuresUsed: this.scoreFeatureUsage(sessionData.featuresUsed),
      returnVisits: this.scoreReturnVisits(sessionData.visitCount)
    };
    
    const totalScore = Object.values(score).reduce((sum, s) => sum + s, 0) / 4;
    
    this.analytics.track({
      category: 'engagement',
      action: 'score_calculated',
      value: totalScore,
      properties: { breakdown: score }
    });
    
    return { total: totalScore, breakdown: score };
  }
  
  // A/B testing integration
  trackExperiment(
    experimentId: string,
    variant: string,
    outcome?: string
  ): void {
    this.analytics.track({
      category: 'experiment',
      action: outcome || 'exposure',
      label: `${experimentId}_${variant}`,
      properties: {
        experimentId,
        variant,
        userId: this.analytics.getUserId()
      }
    });
  }
  
  // Retention analysis
  async analyzeRetention(timeframe: RetentionTimeframe): Promise<RetentionAnalysis> {
    return this.cohortAnalyzer.analyzeRetention(timeframe);
  }
}

// Funnel analysis
export class FunnelTracker {
  private funnels: Map<string, FunnelDefinition> = new Map();
  private userProgress: Map<string, FunnelProgress> = new Map();
  private analytics: QirvoAnalytics;
  
  constructor(analytics: QirvoAnalytics) {
    this.analytics = analytics;
  }
  
  defineFunnel(name: string, steps: string[]): void {
    this.funnels.set(name, {
      name,
      steps,
      createdAt: Date.now()
    });
  }
  
  recordStep(step: string, data: any): void {
    const userId = this.analytics.getUserId();
    
    // Update user progress in all relevant funnels
    this.funnels.forEach((funnel, funnelName) => {
      if (funnel.steps.includes(step)) {
        this.updateFunnelProgress(userId, funnelName, step, data);
      }
    });
  }
  
  private updateFunnelProgress(
    userId: string,
    funnelName: string,
    step: string,
    data: any
  ): void {
    const progressKey = `${userId}_${funnelName}`;
    let progress = this.userProgress.get(progressKey);
    
    if (!progress) {
      progress = {
        userId,
        funnelName,
        steps: [],
        startedAt: Date.now()
      };
      this.userProgress.set(progressKey, progress);
    }
    
    // Add step if not already completed
    if (!progress.steps.find(s => s.step === step)) {
      progress.steps.push({
        step,
        completedAt: Date.now(),
        data
      });
      
      // Track funnel progression
      this.analytics.track({
        category: 'funnel',
        action: 'step_completed',
        label: `${funnelName}_${step}`,
        properties: {
          funnelName,
          step,
          stepIndex: this.getFunnelStepIndex(funnelName, step),
          totalSteps: this.getFunnelStepCount(funnelName)
        }
      });
    }
  }
  
  async getFunnelAnalysis(funnelName: string): Promise<FunnelAnalysis> {
    const funnel = this.funnels.get(funnelName);
    if (!funnel) {
      throw new Error(`Funnel not found: ${funnelName}`);
    }
    
    // Analyze conversion rates between steps
    const analysis = await this.calculateConversionRates(funnel);
    
    return analysis;
  }
}

interface EngagementScore {
  total: number;
  breakdown: {
    timeSpent: number;
    actionsPerformed: number;
    featuresUsed: number;
    returnVisits: number;
  };
}

type AdoptionLevel = 'discovered' | 'tried' | 'adopted' | 'champion';
type RetentionTimeframe = 'daily' | 'weekly' | 'monthly';

Business Intelligence​

Data Warehouse Integration​

// Business intelligence and data warehouse integration
export class BusinessIntelligence {
  private dataWarehouse: DataWarehouse;
  private reportGenerator: ReportGenerator;
  private dashboardManager: DashboardManager;
  private predictiveAnalytics: PredictiveAnalytics;
  
  constructor(config: BIConfig) {
    this.dataWarehouse = new DataWarehouse(config.warehouse);
    this.reportGenerator = new ReportGenerator(config.reporting);
    this.dashboardManager = new DashboardManager(config.dashboards);
    this.predictiveAnalytics = new PredictiveAnalytics(config.ml);
  }
  
  // Executive Dashboard
  async generateExecutiveDashboard(
    pluginId: string,
    timeRange: TimeRange
  ): Promise<ExecutiveDashboard> {
    const [
      userMetrics,
      revenueMetrics,
      performanceMetrics,
      marketMetrics
    ] = await Promise.all([
      this.getUserMetrics(pluginId, timeRange),
      this.getRevenueMetrics(pluginId, timeRange),
      this.getPerformanceMetrics(pluginId, timeRange),
      this.getMarketMetrics(pluginId, timeRange)
    ]);
    
    return {
      summary: {
        totalUsers: userMetrics.totalUsers,
        activeUsers: userMetrics.activeUsers,
        revenue: revenueMetrics.totalRevenue,
        growth: this.calculateGrowthRate(userMetrics, timeRange),
        satisfaction: performanceMetrics.satisfactionScore
      },
      kpis: {
        userAcquisition: userMetrics.acquisitionRate,
        userRetention: userMetrics.retentionRate,
        revenueGrowth: revenueMetrics.growthRate,
        marketShare: marketMetrics.marketShare,
        nps: performanceMetrics.netPromoterScore
      },
      trends: {
        userGrowth: userMetrics.growthTrend,
        revenueGrowth: revenueMetrics.revenueTrend,
        engagementTrend: userMetrics.engagementTrend,
        churnTrend: userMetrics.churnTrend
      },
      insights: await this.generateInsights(pluginId, timeRange),
      recommendations: await this.generateRecommendations(pluginId, timeRange)
    };
  }
  
  // Advanced Reporting
  async generateCustomReport(
    reportConfig: ReportConfiguration
  ): Promise<CustomReport> {
    const query = this.buildAnalyticsQuery(reportConfig);
    const rawData = await this.dataWarehouse.executeQuery(query);
    
    const processedData = await this.processReportData(rawData, reportConfig);
    
    return {
      id: generateReportId(),
      name: reportConfig.name,
      description: reportConfig.description,
      generatedAt: new Date(),
      timeRange: reportConfig.timeRange,
      data: processedData,
      visualizations: await this.generateVisualizations(processedData, reportConfig),
      insights: await this.extractInsights(processedData),
      exportFormats: ['pdf', 'excel', 'csv', 'json']
    };
  }
  
  // Cohort Analysis
  async performCohortAnalysis(
    pluginId: string,
    cohortType: CohortType,
    timeRange: TimeRange
  ): Promise<CohortAnalysis> {
    const cohorts = await this.identifyCohorts(pluginId, cohortType, timeRange);
    
    const analysis: CohortAnalysis = {
      cohortType,
      timeRange,
      cohorts: [],
      summary: {
        totalCohorts: cohorts.length,
        averageRetention: 0,
        bestPerformingCohort: null,
        worstPerformingCohort: null
      }
    };
    
    for (const cohort of cohorts) {
      const cohortMetrics = await this.analyzeCohort(cohort, timeRange);
      
      analysis.cohorts.push({
        id: cohort.id,
        name: cohort.name,
        size: cohort.userCount,
        acquisitionDate: cohort.acquisitionDate,
        retentionRates: cohortMetrics.retentionByPeriod,
        ltv: cohortMetrics.lifetimeValue,
        churnRate: cohortMetrics.churnRate,
        engagementScore: cohortMetrics.engagementScore
      });
    }
    
    // Calculate summary statistics
    analysis.summary.averageRetention = this.calculateAverageRetention(analysis.cohorts);
    analysis.summary.bestPerformingCohort = this.findBestCohort(analysis.cohorts);
    analysis.summary.worstPerformingCohort = this.findWorstCohort(analysis.cohorts);
    
    return analysis;
  }
  
  // Revenue Analytics
  async analyzeRevenue(
    pluginId: string,
    timeRange: TimeRange
  ): Promise<RevenueAnalysis> {
    const [
      subscriptionMetrics,
      transactionData,
      churnAnalysis,
      forecastData
    ] = await Promise.all([
      this.getSubscriptionMetrics(pluginId, timeRange),
      this.getTransactionData(pluginId, timeRange),
      this.analyzeChurn(pluginId, timeRange),
      this.forecastRevenue(pluginId, timeRange)
    ]);
    
    return {
      overview: {
        totalRevenue: subscriptionMetrics.totalRevenue,
        mrr: subscriptionMetrics.monthlyRecurringRevenue,
        arr: subscriptionMetrics.annualRecurringRevenue,
        arpu: subscriptionMetrics.averageRevenuePerUser,
        ltv: subscriptionMetrics.lifetimeValue
      },
      growth: {
        revenueGrowthRate: subscriptionMetrics.growthRate,
        userGrowthRate: subscriptionMetrics.userGrowthRate,
        expansionRevenue: subscriptionMetrics.expansionRevenue,
        contractionRevenue: subscriptionMetrics.contractionRevenue
      },
      churn: {
        churnRate: churnAnalysis.churnRate,
        revenueChurn: churnAnalysis.revenueChurn,
        churnReasons: churnAnalysis.reasons,
        churnPrediction: churnAnalysis.prediction
      },
      forecast: {
        nextQuarter: forecastData.nextQuarter,
        nextYear: forecastData.nextYear,
        confidence: forecastData.confidence,
        scenarios: forecastData.scenarios
      }
    };
  }
  
  // Market Intelligence
  async analyzeMarketPosition(
    pluginId: string,
    competitors: string[]
  ): Promise<MarketAnalysis> {
    const [
      marketData,
      competitorData,
      trendData,
      opportunityData
    ] = await Promise.all([
      this.getMarketData(pluginId),
      this.getCompetitorData(competitors),
      this.getMarketTrends(),
      this.identifyOpportunities(pluginId)
    ]);
    
    return {
      marketShare: {
        current: marketData.marketShare,
        trend: marketData.shareGrowth,
        ranking: marketData.ranking,
        category: marketData.category
      },
      competitive: {
        position: this.calculateCompetitivePosition(pluginId, competitorData),
        strengths: this.identifyStrengths(pluginId, competitorData),
        weaknesses: this.identifyWeaknesses(pluginId, competitorData),
        threats: this.identifyThreats(competitorData),
        opportunities: opportunityData
      },
      trends: {
        marketGrowth: trendData.growthRate,
        emergingTrends: trendData.emerging,
        decliningTrends: trendData.declining,
        userBehaviorShifts: trendData.behaviorShifts
      },
      recommendations: {
        strategic: await this.generateStrategicRecommendations(pluginId, marketData),
        tactical: await this.generateTacticalRecommendations(pluginId, competitorData),
        investment: await this.generateInvestmentRecommendations(pluginId, opportunityData)
      }
    };
  }
}

// Predictive Analytics
export class PredictiveAnalytics {
  private mlModels: Map<string, MLModel> = new Map();
  private featureEngine: FeatureEngine;
  
  constructor(config: MLConfig) {
    this.featureEngine = new FeatureEngine(config);
    this.loadModels();
  }
  
  async predictUserChurn(
    userId: string,
    pluginId: string
  ): Promise<ChurnPrediction> {
    const features = await this.featureEngine.extractUserFeatures(userId, pluginId);
    const churnModel = this.mlModels.get('churn_prediction');
    
    if (!churnModel) {
      throw new Error('Churn prediction model not available');
    }
    
    const prediction = await churnModel.predict(features);
    
    return {
      userId,
      churnProbability: prediction.probability,
      riskLevel: this.categorizeRisk(prediction.probability),
      keyFactors: prediction.featureImportance,
      recommendedActions: this.generateChurnPreventionActions(prediction),
      confidence: prediction.confidence,
      timeframe: '30_days'
    };
  }
  
  async forecastRevenue(
    pluginId: string,
    timeRange: TimeRange
  ): Promise<RevenueForecast> {
    const historicalData = await this.getHistoricalRevenue(pluginId);
    const externalFactors = await this.getExternalFactors();
    
    const features = this.featureEngine.combineFeatures(historicalData, externalFactors);
    const revenueModel = this.mlModels.get('revenue_forecast');
    
    const forecast = await revenueModel.predict(features);
    
    return {
      pluginId,
      timeRange,
      forecast: forecast.values,
      confidence: forecast.confidence,
      scenarios: {
        optimistic: forecast.optimistic,
        realistic: forecast.realistic,
        pessimistic: forecast.pessimistic
      },
      factors: forecast.influencingFactors,
      recommendations: this.generateRevenueOptimizationActions(forecast)
    };
  }
  
  async predictUserLifetimeValue(
    userId: string,
    pluginId: string
  ): Promise<LTVPrediction> {
    const userFeatures = await this.featureEngine.extractUserFeatures(userId, pluginId);
    const ltvModel = this.mlModels.get('ltv_prediction');
    
    const prediction = await ltvModel.predict(userFeatures);
    
    return {
      userId,
      predictedLTV: prediction.value,
      confidence: prediction.confidence,
      timeframe: prediction.timeframe,
      valueSegment: this.categorizeValueSegment(prediction.value),
      growthPotential: prediction.growthPotential,
      recommendedActions: this.generateLTVOptimizationActions(prediction)
    };
  }
  
  private categorizeRisk(probability: number): RiskLevel {
    if (probability >= 0.8) return 'high';
    if (probability >= 0.5) return 'medium';
    return 'low';
  }
  
  private categorizeValueSegment(ltv: number): ValueSegment {
    if (ltv >= 1000) return 'high_value';
    if (ltv >= 500) return 'medium_value';
    return 'low_value';
  }
}

interface ExecutiveDashboard {
  summary: {
    totalUsers: number;
    activeUsers: number;
    revenue: number;
    growth: number;
    satisfaction: number;
  };
  kpis: {
    userAcquisition: number;
    userRetention: number;
    revenueGrowth: number;
    marketShare: number;
    nps: number;
  };
  trends: {
    userGrowth: TrendData[];
    revenueGrowth: TrendData[];
    engagementTrend: TrendData[];
    churnTrend: TrendData[];
  };
  insights: BusinessInsight[];
  recommendations: BusinessRecommendation[];
}

interface CohortAnalysis {
  cohortType: CohortType;
  timeRange: TimeRange;
  cohorts: CohortData[];
  summary: {
    totalCohorts: number;
    averageRetention: number;
    bestPerformingCohort: string | null;
    worstPerformingCohort: string | null;
  };
}

type CohortType = 'acquisition' | 'behavioral' | 'demographic' | 'feature_usage';
type RiskLevel = 'low' | 'medium' | 'high';
type ValueSegment = 'low_value' | 'medium_value' | 'high_value';

Privacy and Compliance​

Privacy Management System​

// Privacy and compliance management for analytics
export class PrivacyManager {
  private consentManager: ConsentManager;
  private dataProcessor: DataProcessor;
  private complianceChecker: ComplianceChecker;
  private auditLogger: AuditLogger;
  
  constructor(config: PrivacyConfig) {
    this.consentManager = new ConsentManager(config.consent);
    this.dataProcessor = new DataProcessor(config.processing);
    this.complianceChecker = new ComplianceChecker(config.compliance);
    this.auditLogger = new AuditLogger(config.audit);
  }
  
  // Consent Management
  async requestConsent(
    userId: string,
    consentTypes: ConsentType[]
  ): Promise<ConsentResult> {
    const existingConsent = await this.consentManager.getConsent(userId);
    const requiredConsent = this.determineRequiredConsent(consentTypes);
    
    if (this.hasValidConsent(existingConsent, requiredConsent)) {
      return {
        granted: true,
        consentId: existingConsent.id,
        expiresAt: existingConsent.expiresAt
      };
    }
    
    // Request new consent
    const consentRequest = await this.consentManager.createConsentRequest({
      userId,
      types: requiredConsent,
      purpose: 'analytics_tracking',
      dataTypes: this.getDataTypesForConsent(requiredConsent),
      retentionPeriod: '2_years',
      thirdParties: this.getThirdPartyProcessors()
    });
    
    return {
      granted: false,
      consentRequestId: consentRequest.id,
      consentUrl: consentRequest.url,
      requiredTypes: requiredConsent
    };
  }
  
  async processConsentResponse(
    consentRequestId: string,
    response: ConsentResponse
  ): Promise<ConsentProcessingResult> {
    const consentRequest = await this.consentManager.getConsentRequest(consentRequestId);
    
    if (!consentRequest) {
      throw new Error('Consent request not found');
    }
    
    // Validate response
    const validation = this.validateConsentResponse(response);
    if (!validation.valid) {
      return {
        success: false,
        errors: validation.errors
      };
    }
    
    // Process consent
    const consent = await this.consentManager.recordConsent({
      userId: consentRequest.userId,
      requestId: consentRequestId,
      grantedTypes: response.grantedTypes,
      deniedTypes: response.deniedTypes,
      timestamp: Date.now(),
      ipAddress: response.ipAddress,
      userAgent: response.userAgent
    });
    
    // Update user privacy settings
    await this.updateUserPrivacySettings(consentRequest.userId, consent);
    
    // Log consent action
    await this.auditLogger.logConsentAction({
      userId: consentRequest.userId,
      action: 'consent_granted',
      consentId: consent.id,
      grantedTypes: response.grantedTypes,
      timestamp: Date.now()
    });
    
    return {
      success: true,
      consentId: consent.id,
      effectivePermissions: this.calculateEffectivePermissions(consent)
    };
  }
  
  // Data Processing Controls
  async canProcessData(
    userId: string,
    dataType: DataType,
    processingPurpose: ProcessingPurpose
  ): Promise<boolean> {
    // Check user consent
    const consent = await this.consentManager.getConsent(userId);
    if (!consent || !this.hasConsentForDataType(consent, dataType)) {
      return false;
    }
    
    // Check legal basis
    const legalBasis = this.determineLegalBasis(dataType, processingPurpose);
    if (!legalBasis) {
      return false;
    }
    
    // Check compliance requirements
    const complianceCheck = await this.complianceChecker.checkProcessing({
      userId,
      dataType,
      purpose: processingPurpose,
      legalBasis
    });
    
    return complianceCheck.allowed;
  }
  
  async anonymizeData(
    data: any[],
    anonymizationLevel: AnonymizationLevel
  ): Promise<AnonymizedData> {
    const anonymizer = this.getAnonymizer(anonymizationLevel);
    
    const anonymizedData = await anonymizer.process(data, {
      removeDirectIdentifiers: true,
      removeQuasiIdentifiers: anonymizationLevel === 'high',
      addNoise: anonymizationLevel === 'high',
      generalize: anonymizationLevel !== 'low',
      kAnonymity: this.getKAnonymityLevel(anonymizationLevel)
    });
    
    return {
      data: anonymizedData.result,
      anonymizationLevel,
      privacyMetrics: {
        kAnonymity: anonymizedData.kAnonymity,
        lDiversity: anonymizedData.lDiversity,
        tCloseness: anonymizedData.tCloseness
      },
      dataUtility: anonymizedData.utilityScore
    };
  }
  
  // Data Subject Rights
  async handleDataSubjectRequest(
    request: DataSubjectRequest
  ): Promise<DataSubjectResponse> {
    const user = await this.getUserData(request.userId);
    if (!user) {
      throw new Error('User not found');
    }
    
    switch (request.type) {
      case 'access':
        return this.handleAccessRequest(request);
      
      case 'rectification':
        return this.handleRectificationRequest(request);
      
      case 'erasure':
        return this.handleErasureRequest(request);
      
      case 'portability':
        return this.handlePortabilityRequest(request);
      
      case 'restriction':
        return this.handleRestrictionRequest(request);
      
      case 'objection':
        return this.handleObjectionRequest(request);
      
      default:
        throw new Error(`Unsupported request type: ${request.type}`);
    }
  }
  
  private async handleAccessRequest(
    request: DataSubjectRequest
  ): Promise<DataSubjectResponse> {
    // Collect all user data
    const userData = await this.collectUserData(request.userId);
    
    // Generate data export
    const exportData = {
      personalData: userData.personal,
      analyticsData: userData.analytics,
      consentHistory: userData.consent,
      processingActivities: userData.processing
    };
    
    // Create secure download link
    const downloadUrl = await this.createSecureDownload(exportData, request.userId);
    
    return {
      requestId: request.id,
      type: 'access',
      status: 'completed',
      data: {
        downloadUrl,
        expiresAt: Date.now() + 7 * 24 * 60 * 60 * 1000, // 7 days
        format: 'json'
      }
    };
  }
  
  private async handleErasureRequest(
    request: DataSubjectRequest
  ): Promise<DataSubjectResponse> {
    // Check if erasure is legally required
    const erasureCheck = await this.complianceChecker.checkErasureRequest(request);
    
    if (!erasureCheck.required) {
      return {
        requestId: request.id,
        type: 'erasure',
        status: 'rejected',
        reason: erasureCheck.reason
      };
    }
    
    // Perform data erasure
    const erasureResult = await this.performDataErasure(request.userId, {
      anonymize: true,
      removeBackups: false, // Keep for legal compliance
      notifyThirdParties: true
    });
    
    // Log erasure action
    await this.auditLogger.logDataErasure({
      userId: request.userId,
      requestId: request.id,
      erasedDataTypes: erasureResult.erasedTypes,
      timestamp: Date.now()
    });
    
    return {
      requestId: request.id,
      type: 'erasure',
      status: 'completed',
      data: {
        erasedDataTypes: erasureResult.erasedTypes,
        retainedDataTypes: erasureResult.retainedTypes,
        retentionReasons: erasureResult.retentionReasons
      }
    };
  }
  
  // Compliance Monitoring
  async generateComplianceReport(
    timeRange: TimeRange
  ): Promise<ComplianceReport> {
    const [
      consentMetrics,
      processingActivities,
      dataSubjectRequests,
      breachIncidents
    ] = await Promise.all([
      this.getConsentMetrics(timeRange),
      this.getProcessingActivities(timeRange),
      this.getDataSubjectRequests(timeRange),
      this.getBreachIncidents(timeRange)
    ]);
    
    return {
      timeRange,
      generatedAt: new Date(),
      consent: {
        totalRequests: consentMetrics.totalRequests,
        grantedRate: consentMetrics.grantedRate,
        withdrawalRate: consentMetrics.withdrawalRate,
        expiringConsents: consentMetrics.expiringConsents
      },
      processing: {
        totalActivities: processingActivities.total,
        lawfulBasisDistribution: processingActivities.lawfulBasis,
        dataTypesProcessed: processingActivities.dataTypes,
        purposeDistribution: processingActivities.purposes
      },
      rights: {
        totalRequests: dataSubjectRequests.total,
        requestTypeDistribution: dataSubjectRequests.byType,
        averageResponseTime: dataSubjectRequests.averageResponseTime,
        completionRate: dataSubjectRequests.completionRate
      },
      security: {
        breachIncidents: breachIncidents.total,
        notificationCompliance: breachIncidents.notificationCompliance,
        resolutionTime: breachIncidents.averageResolutionTime
      },
      recommendations: await this.generateComplianceRecommendations(timeRange)
    };
  }
}

// GDPR Compliance Checker
export class GDPRComplianceChecker implements ComplianceChecker {
  async checkProcessing(request: ProcessingRequest): Promise<ComplianceResult> {
    const checks: ComplianceCheck[] = [];
    
    // Check lawful basis
    checks.push(await this.checkLawfulBasis(request));
    
    // Check data minimization
    checks.push(await this.checkDataMinimization(request));
    
    // Check purpose limitation
    checks.push(await this.checkPurposeLimitation(request));
    
    // Check storage limitation
    checks.push(await this.checkStorageLimitation(request));
    
    // Check accuracy requirement
    checks.push(await this.checkAccuracy(request));
    
    // Check security measures
    checks.push(await this.checkSecurity(request));
    
    const failedChecks = checks.filter(check => !check.passed);
    
    return {
      allowed: failedChecks.length === 0,
      checks,
      violations: failedChecks.map(check => check.violation),
      recommendations: failedChecks.map(check => check.recommendation)
    };
  }
  
  private async checkLawfulBasis(request: ProcessingRequest): Promise<ComplianceCheck> {
    const validBases = ['consent', 'contract', 'legal_obligation', 'vital_interests', 'public_task', 'legitimate_interests'];
    
    return {
      name: 'lawful_basis',
      passed: validBases.includes(request.legalBasis),
      violation: !validBases.includes(request.legalBasis) ? 'No valid lawful basis for processing' : undefined,
      recommendation: 'Ensure processing has a valid lawful basis under GDPR Article 6'
    };
  }
}

interface ConsentType {
  id: string;
  name: string;
  description: string;
  required: boolean;
}

interface DataSubjectRequest {
  id: string;
  userId: string;
  type: 'access' | 'rectification' | 'erasure' | 'portability' | 'restriction' | 'objection';
  description?: string;
  timestamp: number;
}

interface ComplianceReport {
  timeRange: TimeRange;
  generatedAt: Date;
  consent: ConsentMetrics;
  processing: ProcessingMetrics;
  rights: RightsMetrics;
  security: SecurityMetrics;
  recommendations: ComplianceRecommendation[];
}

type DataType = 'personal' | 'behavioral' | 'technical' | 'derived';
type ProcessingPurpose = 'analytics' | 'personalization' | 'marketing' | 'security';
type AnonymizationLevel = 'low' | 'medium' | 'high';

This comprehensive analytics system now includes complete business intelligence capabilities with executive dashboards, predictive analytics, and market analysis, plus a robust privacy and compliance framework that handles GDPR, consent management, and data subject rights.

Next: Migration Guide