---

name: Game Analytics description: Tracking player behavior and game performance through metrics, event tracking, funnel analysis, retention metrics, and integration with analytics platforms for data-driven game development.

Game Analytics

Current Level: Intermediate
Domain: Gaming / Analytics

---

Overview

Game analytics tracks player behavior and game performance. This guide covers metrics, event tracking, funnel analysis, and analytics platforms for understanding player engagement, optimizing gameplay, and improving retention.

Game Metrics

Core Metrics

// Key Performance Indicators (KPIs)
interface GameMetrics {
  // User metrics
  dau: number; // Daily Active Users
  mau: number; // Monthly Active Users
  wau: number; // Weekly Active Users
  
  // Engagement metrics
  avgSessionLength: number; // Minutes
  sessionsPerUser: number;
  daysSinceInstall: number;
  
  // Retention metrics
  day1Retention: number; // %
  day7Retention: number;
  day30Retention: number;
  
  // Monetization metrics
  arpu: number; // Average Revenue Per User
  arppu: number; // Average Revenue Per Paying User
  conversionRate: number; // % of users who pay
  ltv: number; // Lifetime Value
  
  // Gameplay metrics
  levelsCompleted: number;
  avgPlayTime: number;
  completionRate: number;
}

Event Tracking

// services/analytics.service.ts
export class AnalyticsService {
  async trackEvent(
    playerId: string,
    eventName: string,
    properties?: Record<string, any>
  ): Promise<void> {
    await db.analyticsEvent.create({
      data: {
        playerId,
        eventName,
        properties,
        timestamp: new Date()
      }
    });

    // Also send to analytics platform
    await this.sendToAnalyticsPlatform(playerId, eventName, properties);
  }

  async trackSessionStart(playerId: string): Promise<string> {
    const session = await db.session.create({
      data: {
        playerId,
        startTime: new Date()
      }
    });

    await this.trackEvent(playerId, 'session_start', {
      sessionId: session.id
    });

    return session.id;
  }

  async trackSessionEnd(sessionId: string): Promise<void> {
    const session = await db.session.update({
      where: { id: sessionId },
      data: {
        endTime: new Date()
      }
    });

    const duration = session.endTime!.getTime() - session.startTime.getTime();

    await this.trackEvent(session.playerId, 'session_end', {
      sessionId,
      duration: duration / 1000 // seconds
    });
  }

  async trackLevelStart(playerId: string, levelId: string): Promise<void> {
    await this.trackEvent(playerId, 'level_start', {
      levelId,
      timestamp: Date.now()
    });
  }

  async trackLevelComplete(
    playerId: string,
    levelId: string,
    score: number,
    duration: number
  ): Promise<void> {
    await this.trackEvent(playerId, 'level_complete', {
      levelId,
      score,
      duration,
      timestamp: Date.now()
    });
  }

  async trackPurchase(
    playerId: string,
    itemId: string,
    price: number,
    currency: string
  ): Promise<void> {
    await this.trackEvent(playerId, 'purchase', {
      itemId,
      price,
      currency,
      timestamp: Date.now()
    });
  }

  private async sendToAnalyticsPlatform(
    playerId: string,
    eventName: string,
    properties?: Record<string, any>
  ): Promise<void> {
    // Send to Unity Analytics, GameAnalytics, etc.
  }
}

Funnel Analysis

// services/funnel-analysis.service.ts
export class FunnelAnalysisService {
  async analyzeTutorialFunnel(): Promise<FunnelStep[]> {
    const steps = [
      'tutorial_start',
      'tutorial_step1',
      'tutorial_step2',
      'tutorial_step3',
      'tutorial_complete'
    ];

    const funnel: FunnelStep[] = [];

    for (let i = 0; i < steps.length; i++) {
      const step = steps[i];
      
      const count = await db.analyticsEvent.count({
        where: { eventName: step }
      });

      const dropoff = i > 0
        ? ((funnel[i - 1].count - count) / funnel[i - 1].count) * 100
        : 0;

      funnel.push({
        step,
        count,
        dropoffRate: dropoff
      });
    }

    return funnel;
  }

  async analyzeConversionFunnel(): Promise<FunnelStep[]> {
    const steps = [
      'app_install',
      'first_session',
      'tutorial_complete',
      'level_1_complete',
      'first_purchase'
    ];

    const funnel: FunnelStep[] = [];

    for (let i = 0; i < steps.length; i++) {
      const step = steps[i];
      
      const uniquePlayers = await db.analyticsEvent.groupBy({
        by: ['playerId'],
        where: { eventName: step },
        _count: true
      });

      const count = uniquePlayers.length;

      const dropoff = i > 0
        ? ((funnel[i - 1].count - count) / funnel[i - 1].count) * 100
        : 0;

      funnel.push({
        step,
        count,
        dropoffRate: dropoff
      });
    }

    return funnel;
  }
}

interface FunnelStep {
  step: string;
  count: number;
  dropoffRate: number;
}

Cohort Analysis

// services/cohort-analysis.service.ts
export class CohortAnalysisService {
  async analyzeRetention(cohortDate: Date): Promise<CohortRetention> {
    // Get users who installed on cohortDate
    const cohortUsers = await db.player.findMany({
      where: {
        createdAt: {
          gte: cohortDate,
          lt: new Date(cohortDate.getTime() + 24 * 60 * 60 * 1000)
        }
      }
    });

    const cohortSize = cohortUsers.length;
    const userIds = cohortUsers.map(u => u.id);

    // Calculate retention for each day
    const retention: number[] = [];

    for (let day = 0; day < 30; day++) {
      const targetDate = new Date(cohortDate.getTime() + day * 24 * 60 * 60 * 1000);
      
      const activeUsers = await db.session.groupBy({
        by: ['playerId'],
        where: {
          playerId: { in: userIds },
          startTime: {
            gte: targetDate,
            lt: new Date(targetDate.getTime() + 24 * 60 * 60 * 1000)
          }
        }
      });

      const retentionRate = (activeUsers.length / cohortSize) * 100;
      retention.push(retentionRate);
    }

    return {
      cohortDate,
      cohortSize,
      retention
    };
  }

  async analyzeRevenueByInstallDate(): Promise<CohortRevenue[]> {
    const cohorts: CohortRevenue[] = [];

    // Last 30 days
    for (let i = 0; i < 30; i++) {
      const cohortDate = new Date(Date.now() - i * 24 * 60 * 60 * 1000);

      const users = await db.player.findMany({
        where: {
          createdAt: {
            gte: cohortDate,
            lt: new Date(cohortDate.getTime() + 24 * 60 * 60 * 1000)
          }
        }
      });

      const userIds = users.map(u => u.id);

      const revenue = await db.transaction.aggregate({
        where: {
          playerId: { in: userIds },
          status: 'completed'
        },
        _sum: { priceUsd: true }
      });

      cohorts.push({
        cohortDate,
        cohortSize: users.length,
        totalRevenue: revenue._sum.priceUsd || 0,
        arpu: (revenue._sum.priceUsd || 0) / users.length
      });
    }

    return cohorts;
  }
}

interface CohortRetention {
  cohortDate: Date;
  cohortSize: number;
  retention: number[]; // Retention % for each day
}

interface CohortRevenue {
  cohortDate: Date;
  cohortSize: number;
  totalRevenue: number;
  arpu: number;
}

A/B Testing

// services/ab-testing.service.ts
export class ABTestingService {
  async assignVariant(playerId: string, experimentId: string): Promise<string> {
    // Check if already assigned
    const existing = await db.experimentAssignment.findUnique({
      where: {
        playerId_experimentId: { playerId, experimentId }
      }
    });

    if (existing) {
      return existing.variant;
    }

    // Assign variant (50/50 split)
    const variant = Math.random() < 0.5 ? 'A' : 'B';

    await db.experimentAssignment.create({
      data: {
        playerId,
        experimentId,
        variant
      }
    });

    await this.trackEvent(playerId, 'experiment_assigned', {
      experimentId,
      variant
    });

    return variant;
  }

  async trackConversion(
    playerId: string,
    experimentId: string,
    metric: string,
    value: number
  ): Promise<void> {
    await db.experimentMetric.create({
      data: {
        playerId,
        experimentId,
        metric,
        value
      }
    });
  }

  async getExperimentResults(experimentId: string): Promise<ExperimentResults> {
    const assignments = await db.experimentAssignment.groupBy({
      by: ['variant'],
      where: { experimentId },
      _count: true
    });

    const metrics = await db.experimentMetric.groupBy({
      by: ['variant', 'metric'],
      where: { experimentId },
      _avg: { value: true },
      _count: true
    });

    return {
      experimentId,
      variants: assignments.map(a => ({
        variant: a.variant,
        users: a._count
      })),
      metrics: metrics.map(m => ({
        variant: m.variant,
        metric: m.metric,
        average: m._avg.value || 0,
        count: m._count
      }))
    };
  }
}

interface ExperimentResults {
  experimentId: string;
  variants: Array<{ variant: string; users: number }>;
  metrics: Array<{
    variant: string;
    metric: string;
    average: number;
    count: number;
  }>;
}

Player Segmentation

// services/player-segmentation.service.ts
export class PlayerSegmentationService {
  async segmentPlayers(): Promise<Map<string, string[]>> {
    const segments = new Map<string, string[]>();

    // Whales (high spenders)
    const whales = await db.player.findMany({
      where: {
        totalSpent: { gte: 100 }
      },
      select: { id: true }
    });
    segments.set('whales', whales.map(p => p.id));

    // Engaged players (high playtime)
    const engaged = await db.player.findMany({
      where: {
        totalPlayTime: { gte: 3600 } // 1 hour
      },
      select: { id: true }
    });
    segments.set('engaged', engaged.map(p => p.id));

    // At-risk (haven't played in 7 days)
    const atRisk = await db.player.findMany({
      where: {
        lastSeen: {
          lt: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000)
        }
      },
      select: { id: true }
    });
    segments.set('at_risk', atRisk.map(p => p.id));

    // New players (< 7 days)
    const newPlayers = await db.player.findMany({
      where: {
        createdAt: {
          gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000)
        }
      },
      select: { id: true }
    });
    segments.set('new', newPlayers.map(p => p.id));

    return segments;
  }

  async getSegmentMetrics(segment: string): Promise<SegmentMetrics> {
    const playerIds = (await this.segmentPlayers()).get(segment) || [];

    const sessions = await db.session.aggregate({
      where: { playerId: { in: playerIds } },
      _avg: { duration: true },
      _count: true
    });

    const revenue = await db.transaction.aggregate({
      where: {
        playerId: { in: playerIds },
        status: 'completed'
      },
      _sum: { priceUsd: true }
    });

    return {
      segment,
      playerCount: playerIds.length,
      avgSessionLength: sessions._avg.duration || 0,
      totalSessions: sessions._count,
      totalRevenue: revenue._sum.priceUsd || 0,
      arpu: (revenue._sum.priceUsd || 0) / playerIds.length
    };
  }
}

interface SegmentMetrics {
  segment: string;
  playerCount: number;
  avgSessionLength: number;
  totalSessions: number;
  totalRevenue: number;
  arpu: number;
}

Real-time Dashboard

// components/AnalyticsDashboard.tsx
export function AnalyticsDashboard() {
  const [metrics, setMetrics] = useState<GameMetrics | null>(null);

  useEffect(() => {
    loadMetrics();
    
    // Refresh every minute
    const interval = setInterval(loadMetrics, 60000);
    
    return () => clearInterval(interval);
  }, []);

  const loadMetrics = async () => {
    const data = await fetch('/api/analytics/metrics').then(r => r.json());
    setMetrics(data);
  };

  return (
    <div className="analytics-dashboard">
      <div className="metrics-grid">
        <MetricCard title="DAU" value={metrics?.dau || 0} />
        <MetricCard title="MAU" value={metrics?.mau || 0} />
        <MetricCard title="ARPU" value={`$${metrics?.arpu.toFixed(2) || 0}`} />
        <MetricCard title="Day 1 Retention" value={`${metrics?.day1Retention || 0}%`} />
      </div>

      <div className="charts">
        <RetentionChart />
        <RevenueChart />
        <FunnelChart />
      </div>
    </div>
  );
}

Best Practices

1. Privacy - Respect user privacy (GDPR, CCPA)
2. Sampling - Use sampling for high-volume events
3. Real-time - Track critical events in real-time
4. Retention - Set data retention policies
5. Segmentation - Segment players for insights
6. A/B Testing - Test features before full rollout
7. Funnels - Identify drop-off points
8. Cohorts - Analyze by install date
9. Dashboards - Create actionable dashboards
10. Alerts - Set up alerts for anomalies

---

Quick Start

Event Tracking

// Track game events
function trackEvent(event: GameEvent) {
  analytics.track(event.name, {
    userId: event.userId,
    sessionId: event.sessionId,
    timestamp: Date.now(),
    ...event.properties
  })
}

// Track player actions
trackEvent({
  name: 'level_complete',
  userId: 'player-123',
  sessionId: 'session-456',
  properties: {
    level: 5,
    score: 10000,
    time: 120  // seconds
  }
})

Key Metrics

interface GameMetrics {
  dau: number  // Daily Active Users
  mau: number  // Monthly Active Users
  retention: {
    day1: number
    day7: number
    day30: number
  }
  arpu: number  // Average Revenue Per User
  ltv: number   // Lifetime Value
}

---

Production Checklist

• Event Tracking: Track all game events
• Key Metrics: Define key metrics (DAU, retention, etc.)
• Funnel Analysis: Player funnel analysis
• Cohort Analysis: Cohort retention
• Segmentation: Segment players
• A/B Testing: Test features
• Dashboards: Analytics dashboards
• Alerts: Alerts for anomalies
• Privacy: Respect user privacy
• Sampling: Use sampling for high volume
• Documentation: Document metrics
• Action: Act on insights

---

Anti-patterns

❌ Don't: Track Everything

// ❌ Bad - Track every action
trackEvent('mouse_move')
trackEvent('key_press')
trackEvent('button_hover')
// Too much data!

// ✅ Good - Track key events
trackEvent('level_start')
trackEvent('level_complete')
trackEvent('purchase')
// Focused tracking

❌ Don't: No Privacy

// ❌ Bad - Track personal data
trackEvent('player_action', {
  userId: user.id,
  email: user.email,  // Privacy issue!
  location: user.location
})

// ✅ Good - Anonymize
trackEvent('player_action', {
  userId: hashUserId(user.id),  // Anonymized
  // No personal data
})

---

Integration Points

• Achievements (38-gaming-features/achievements/) - Achievement metrics
• Leaderboards (38-gaming-features/leaderboards/) - Ranking metrics
• Analytics (23-business-analytics/) - General analytics

---

Further Reading

• Game Analytics Best Practices
• Player Retention

Resources

• Unity Analytics
• GameAnalytics
• Mixpanel
• Amplitude
• Game Analytics Best Practices