Activity: Growth Hacking and Retention

class RetentionEngine {
  constructor() {
    this.retentionHooks = new Map();
    this.userJourneys = new Map();
    this.engagementScores = new Map();
  }

  // Habit-forming mechanics
  createHabitLoop(userId, action) {
    const loop = {
      cue: this.identifyUserCue(userId),
      routine: action,
      reward: this.calculateReward(userId, action),
      craving: this.buildCraving(userId)
    };

    return this.implementHabitLoop(userId, loop);
  }

  // Progressive engagement system
  trackEngagementProgression(userId, sessionData) {
    const currentLevel = this.getUserEngagementLevel(userId);
    const newScore = this.calculateEngagementScore(sessionData);
    
    this.engagementScores.set(userId, {
      current: newScore,
      level: this.determineEngagementLevel(newScore),
      progression: this.calculateProgression(currentLevel, newScore),
      nextMilestone: this.getNextMilestone(newScore)
    });

    // Trigger progression rewards
    if (this.hasLeveledUp(userId)) {
      this.triggerProgressionReward(userId);
    }
  }

  scheduleRetentionNotifications(userId) {
    const retentionSchedule = [
      { day: 1, type: 'welcome_back', message: 'Ready for your next workout?' },
      { day: 3, type: 'progress_reminder', message: 'You\'re making great progress!' },
      { day: 7, type: 'weekly_summary', message: 'Check out your week\'s achievements!' },
      { day: 14, type: 'habit_formation', message: 'You\'re building a healthy habit!' },
      { day: 30, type: 'milestone_celebration', message: 'One month strong! Keep it up!' }
    ];

    return this.scheduleNotifications(userId, retentionSchedule);
  }
}

const retentionEngine = new RetentionEngine();

// Example usage
const BasicRetentionComponent = ({ userId }) => {
  const [engagementLevel, setEngagementLevel] = useState(0);

  useEffect(() => {
    // Track user session
    retentionEngine.trackEngagementProgression(userId, {
      sessionDuration: 15 * 60, // 15 minutes
      actionsCompleted: 5,
      featuresUsed: ['workout', 'progress', 'social']
    });

    // Schedule retention notifications
    retentionEngine.scheduleRetentionNotifications(userId);
  }, [userId]);

  return (
    <View>
      <Text>Engagement Level: {engagementLevel}</Text>
      {/* Retention UI components */}
    </View>
  );
};

import React, { useState, useEffect, useRef } from 'react';
import { View, Text, FlatList, TouchableOpacity, Modal, Alert, Share } from 'react-native';

// Advanced Growth Hacking Platform
class GrowthHackingPlatform {
  constructor() {
    this.growthExperiments = new Map();
    this.acquisitionChannels = new Map();
    this.viralMechanisms = new Map();
    this.growthMetrics = {
      daily: new Map(),
      weekly: new Map(),
      monthly: new Map()
    };
    this.userSegments = new Map();
    this.growthLevers = new Map();
  }

  // Viral mechanism implementations
  implementViralMechanism(type, config) {
    const mechanisms = {
      'social_sharing': this.createSocialSharingMechanism,
      'collaborative_features': this.createCollaborativeFeatures,
      'content_virality': this.createContentViralitySystem,
      'gamified_referrals': this.createGamifiedReferrals,
      'network_effects': this.createNetworkEffects,
      'user_generated_content': this.createUGCSystem
    };

    const mechanism = mechanisms[type]?.call(this, config);
    if (mechanism) {
      this.viralMechanisms.set(type, mechanism);
      return mechanism;
    }

    throw new Error(`Unknown viral mechanism type: ${type}`);
  }

  // Social sharing with intelligent targeting
  createSocialSharingMechanism(config) {
    return {
      type: 'social_sharing',
      triggers: config.triggers || ['achievement', 'milestone', 'content_creation'],
      platforms: config.platforms || ['instagram', 'tiktok', 'twitter', 'facebook'],
      
      generateShareContent: (userId, trigger, platform) => {
        const user = this.getUser(userId);
        const content = this.getContentForTrigger(trigger, user);
        
        return this.optimizeForPlatform(content, platform);
      },

      trackSharing: (userId, platform, content) => {
        this.trackEvent('viral_share', {
          user_id: userId,
          platform,
          content_type: content.type,
          reach_estimate: this.estimateReach(userId, platform)
        });
      },

      measureViralitySuccess: (shareId) => {
        return this.calculateViralMetrics(shareId);
      }
    };
  }

  // Collaborative features that drive referrals
  createCollaborativeFeatures(config) {
    return {
      type: 'collaborative_features',
      features: {
        'workout_challenges': {
          create: (userId, challengeData) => {
            const challenge = {
              id: this.generateId(),
              creator: userId,
              participants: [userId],
              data: challengeData,
              shareableLink: this.generateShareableLink('challenge', challengeData),
              viralHooks: this.addViralHooks(challengeData)
            };

            return this.createChallenge(challenge);
          },

          join: (userId, challengeId) => {
            const result = this.joinChallenge(userId, challengeId);
            
            // Track referral if user is new
            if (this.isNewUser(userId)) {
              this.trackReferral('challenge_join', challengeId, userId);
            }

            return result;
          }
        },

        'buddy_system': {
          invite: async (userId, buddyData) => {
            const invitation = await this.createBuddyInvitation(userId, buddyData);
            await this.sendBuddyInvitation(invitation);
            
            this.trackEvent('buddy_invite', {
              inviter: userId,
              method: buddyData.method,
              expected_engagement_boost: 0.4
            });

            return invitation;
          },

          accept: (invitationId, newUserId) => {
            const result = this.acceptBuddyInvitation(invitationId, newUserId);
            
            // Grant mutual rewards
            this.grantMutualBuddyRewards(result.inviter, newUserId);
            
            return result;
          }
        },

        'team_competitions': {
          create: (userId, teamData) => {
            const team = this.createTeam(userId, teamData);
            
            // Implement team invite mechanics
            team.inviteMembers = (memberEmails) => {
              return this.inviteTeamMembers(team.id, memberEmails, userId);
            };

            return team;
          }
        }
      }
    };
  }

  // Content virality system
  createContentViralitySystem(config) {
    return {
      type: 'content_virality',
      
      makeContentViral: (contentId, contentData) => {
        const viralElements = {
          shareability: this.calculateShareabilityScore(contentData),
          emotionalTrigger: this.identifyEmotionalTriggers(contentData),
          socialProof: this.addSocialProofElements(contentData),
          scarcity: this.addScarcityElements(contentData),
          personalization: this.personalizeContent(contentData)
        };

        return this.enhanceContentVirality(contentId, viralElements);
      },

      trackContentVirality: (contentId) => {
        const metrics = {
          shares: this.getShareCount(contentId),
          views: this.getViewCount(contentId),
          engagement: this.getEngagementRate(contentId),
          conversion: this.getConversionRate(contentId),
          viralCoefficient: this.calculateContentViralCoefficient(contentId)
        };

        return metrics;
      },

      optimizeContentVirality: (contentId, performanceData) => {
        const optimizations = this.generateContentOptimizations(performanceData);
        return this.applyContentOptimizations(contentId, optimizations);
      }
    };
  }

  // Growth experiment framework
  createGrowthExperiment(experimentConfig) {
    const experiment = {
      id: this.generateExperimentId(),
      name: experimentConfig.name,
      type: experimentConfig.type, // 'acquisition', 'activation', 'retention', 'referral', 'revenue'
      hypothesis: experimentConfig.hypothesis,
      variants: experimentConfig.variants,
      targetMetric: experimentConfig.targetMetric,
      trafficAllocation: experimentConfig.trafficAllocation || 50,
      duration: experimentConfig.duration || 14, // days
      startDate: Date.now(),
      status: 'active',
      results: {
        control: { users: 0, conversions: 0, rate: 0 },
        treatment: { users: 0, conversions: 0, rate: 0 }
      },
      learnings: []
    };

    this.growthExperiments.set(experiment.id, experiment);
    this.activateExperiment(experiment);

    return experiment;
  }

  // Pirate Metrics (AARRR) tracking
  trackPirateMetrics(userId, event, data) {
    const pirateEvents = {
      // Acquisition
      'user_signup': 'acquisition',
      'app_install': 'acquisition',
      'referral_signup': 'acquisition',
      
      // Activation  
      'onboarding_completed': 'activation',
      'first_value_delivered': 'activation',
      'profile_completed': 'activation',
      
      // Retention
      'day_7_return': 'retention',
      'weekly_active': 'retention',
      'monthly_active': 'retention',
      
      // Referral
      'invite_sent': 'referral',
      'referral_completed': 'referral',
      'viral_share': 'referral',
      
      // Revenue
      'purchase_made': 'revenue',
      'subscription_started': 'revenue',
      'upsell_completed': 'revenue'
    };

    const metric = pirateEvents[event];
    if (metric) {
      this.updatePirateMetric(metric, userId, data);
    }
  }

  updatePirateMetric(metric, userId, data) {
    const today = new Date().toDateString();
    
    if (!this.growthMetrics.daily.has(today)) {
      this.growthMetrics.daily.set(today, {
        acquisition: { count: 0, users: new Set() },
        activation: { count: 0, users: new Set() },
        retention: { count: 0, users: new Set() },
        referral: { count: 0, users: new Set() },
        revenue: { count: 0, amount: 0, users: new Set() }
      });
    }

    const dayMetrics = this.growthMetrics.daily.get(today);
    const metricData = dayMetrics[metric];
    
    metricData.count++;
    metricData.users.add(userId);
    
    if (metric === 'revenue' && data.amount) {
      metricData.amount += data.amount;
    }
  }

  // Growth lever identification and optimization
  identifyGrowthLevers() {
    const levers = {
      'viral_coefficient': {
        current: this.calculateViralCoefficient(),
        target: 1.2,
        impact: 'high',
        effort: 'medium',
        experiments: [
          'Increase referral rewards',
          'Improve sharing UX',
          'Add more viral touchpoints'
        ]
      },
      
      'activation_rate': {
        current: this.calculateActivationRate(),
        target: 0.4,
        impact: 'high', 
        effort: 'low',
        experiments: [
          'Optimize onboarding flow',
          'Reduce time to first value',
          'Improve activation triggers'
        ]
      },
      
      'retention_rate': {
        current: this.calculateRetentionRate('week_1'),
        target: 0.5,
        impact: 'critical',
        effort: 'high',
        experiments: [
          'Implement habit-forming features',
          'Improve push notification strategy',
          'Add social engagement features'
        ]
      },
      
      'monetization_rate': {
        current: this.calculateMonetizationRate(),
        target: 0.08,
        impact: 'medium',
        effort: 'medium',
        experiments: [
          'Optimize paywall timing',
          'Test pricing strategies',
          'Improve value proposition'
        ]
      }
    };

    // Score and prioritize levers
    const prioritizedLevers = Object.entries(levers)
      .map(([name, lever]) => ({
        name,
        ...lever,
        opportunityScore: this.calculateOpportunityScore(lever)
      }))
      .sort((a, b) => b.opportunityScore - a.opportunityScore);

    return prioritizedLevers;
  }

  calculateOpportunityScore(lever) {
    const impactWeight = { low: 1, medium: 2, high: 3, critical: 4 };
    const effortWeight = { low: 3, medium: 2, high: 1 };
    
    const gap = (lever.target - lever.current) / lever.target;
    const impact = impactWeight[lever.impact] || 1;
    const effort = effortWeight[lever.effort] || 1;
    
    return (gap * impact * effort) * 100;
  }

  // Growth hacking playbook
  executeGrowthPlaybook(playbookName) {
    const playbooks = {
      'viral_launch': this.executeViralLaunchPlaybook,
      'retention_rescue': this.executeRetentionRescuePlaybook,
      'revenue_optimization': this.executeRevenueOptimizationPlaybook,
      'acquisition_scaling': this.executeAcquisitionScalingPlaybook
    };

    const playbook = playbooks[playbookName];
    if (playbook) {
      return playbook.call(this);
    }

    throw new Error(`Unknown growth playbook: ${playbookName}`);
  }

  executeViralLaunchPlaybook() {
    const playbook = {
      name: 'Viral Launch Strategy',
      duration: '2 weeks',
      phases: [
        {
          phase: 'pre_launch',
          duration: '3 days',
          tactics: [
            'Build anticipation with waitlist',
            'Create exclusive early access program',
            'Develop shareable launch content',
            'Recruit brand ambassadors'
          ]
        },
        {
          phase: 'launch_day',
          duration: '1 day',
          tactics: [
            'Coordinated social media blast',
            'Influencer activation',
            'Press release distribution',
            'Community engagement campaigns'
          ]
        },
        {
          phase: 'post_launch',
          duration: '10 days',
          tactics: [
            'Leverage early adopter content',
            'Implement referral campaigns',
            'Optimize based on initial feedback',
            'Scale successful viral mechanisms'
          ]
        }
      ]
    };

    return this.executePlaybookPhases(playbook);
  }
}

// Main Growth Dashboard Component
const GrowthDashboard = () => {
  const [growthPlatform] = useState(() => new GrowthHackingPlatform());
  const [pirateMetrics, setPirateMetrics] = useState({});
  const [growthLevers, setGrowthLevers] = useState([]);
  const [activeExperiments, setActiveExperiments] = useState([]);
  const [selectedPlaybook, setSelectedPlaybook] = useState(null);

  useEffect(() => {
    loadGrowthData();
    
    const interval = setInterval(() => {
      updateMetrics();
    }, 60000); // Update every minute

    return () => clearInterval(interval);
  }, []);

  const loadGrowthData = async () => {
    // Load pirate metrics
    const metrics = await growthPlatform.getPirateMetrics();
    setPirateMetrics(metrics);

    // Identify growth levers
    const levers = growthPlatform.identifyGrowthLevers();
    setGrowthLevers(levers);

    // Load active experiments
    const experiments = Array.from(growthPlatform.growthExperiments.values())
      .filter(exp => exp.status === 'active');
    setActiveExperiments(experiments);
  };

  const updateMetrics = () => {
    // Simulate real-time metric updates
    loadGrowthData();
  };

  const createNewExperiment = () => {
    const experimentConfig = {
      name: 'Referral Reward Test',
      type: 'referral',
      hypothesis: 'Increasing referral rewards will improve viral coefficient',
      variants: {
        control: { reward: '7 days premium' },
        treatment: { reward: '14 days premium' }
      },
      targetMetric: 'viral_coefficient',
      duration: 14
    };

    const experiment = growthPlatform.createGrowthExperiment(experimentConfig);
    setActiveExperiments(prev => [...prev, experiment]);
  };

  const executePlaybook = (playbookName) => {
    try {
      const result = growthPlatform.executeGrowthPlaybook(playbookName);
      setSelectedPlaybook(result);
      Alert.alert('Playbook Activated', `${playbookName} playbook is now running`);
    } catch (error) {
      Alert.alert('Error', `Failed to execute playbook: ${error.message}`);
    }
  };

  const PirateMetricsCard = () => (
    <View style={styles.metricsCard}>
      <Text style={styles.cardTitle}>AARRR Metrics (Pirate Metrics)</Text>
      
      <View style={styles.metricsGrid}>
        <View style={styles.metricItem}>
          <Text style={styles.metricValue}>{pirateMetrics.acquisition || 0}</Text>
          <Text style={styles.metricLabel}>Acquisition</Text>
          <Text style={styles.metricSubtext}>New Users</Text>
        </View>
        
        <View style={styles.metricItem}>
          <Text style={styles.metricValue}>{(pirateMetrics.activation * 100)?.toFixed(1) || 0}%</Text>
          <Text style={styles.metricLabel}>Activation</Text>
          <Text style={styles.metricSubtext}>Completed Onboarding</Text>
        </View>
        
        <View style={styles.metricItem}>
          <Text style={styles.metricValue}>{(pirateMetrics.retention * 100)?.toFixed(1) || 0}%</Text>
          <Text style={styles.metricLabel}>Retention</Text>
          <Text style={styles.metricSubtext}>Week 1 Return</Text>
        </View>
        
        <View style={styles.metricItem}>
          <Text style={styles.metricValue}>{pirateMetrics.referral?.toFixed(2) || 0}</Text>
          <Text style={styles.metricLabel}>Referral</Text>
          <Text style={styles.metricSubtext}>Viral Coefficient</Text>
        </View>
        
        <View style={styles.metricItem}>
          <Text style={styles.metricValue}>${pirateMetrics.revenue?.toFixed(0) || 0}</Text>
          <Text style={styles.metricLabel}>Revenue</Text>
          <Text style={styles.metricSubtext}>Total Revenue</Text>
        </View>
      </View>
    </View>
  );

  const GrowthLeverCard = ({ lever }) => (
    <View style={styles.leverCard}>
      <View style={styles.leverHeader}>
        <Text style={styles.leverName}>{lever.name.replace('_', ' ').toUpperCase()}</Text>
        <View style={[styles.priorityBadge, styles[`priority${lever.impact}`]]}>
          <Text style={styles.priorityText}>{lever.impact.toUpperCase()}</Text>
        </View>
      </View>
      
      <View style={styles.leverMetrics}>
        <Text style={styles.leverCurrent}>Current: {(lever.current * 100).toFixed(1)}%</Text>
        <Text style={styles.leverTarget}>Target: {(lever.target * 100).toFixed(1)}%</Text>
        <Text style={styles.leverOpportunity}>
          Opportunity Score: {lever.opportunityScore.toFixed(0)}
        </Text>
      </View>
      
      <Text style={styles.leverExperimentsTitle}>Suggested Experiments:</Text>
      {lever.experiments.map((exp, index) => (
        <Text key={index} style={styles.leverExperiment}>• {exp}</Text>
      ))}
    </View>
  );

  const ExperimentCard = ({ experiment }) => (
    <View style={styles.experimentCard}>
      <Text style={styles.experimentName}>{experiment.name}</Text>
      <Text style={styles.experimentHypothesis}>{experiment.hypothesis}</Text>
      
      <View style={styles.experimentResults}>
        <View style={styles.variantResult}>
          <Text style={styles.variantLabel}>Control</Text>
          <Text style={styles.variantRate}>
            {(experiment.results.control.rate * 100).toFixed(2)}%
          </Text>
          <Text style={styles.variantSample}>
            ({experiment.results.control.conversions}/{experiment.results.control.users})
          </Text>
        </View>
        
        <Text style={styles.vsText}>VS</Text>
        
        <View style={styles.variantResult}>
          <Text style={styles.variantLabel}>Treatment</Text>
          <Text style={styles.variantRate}>
            {(experiment.results.treatment.rate * 100).toFixed(2)}%
          </Text>
          <Text style={styles.variantSample}>
            ({experiment.results.treatment.conversions}/{experiment.results.treatment.users})
          </Text>
        </View>
      </View>
    </View>
  );

  return (
    <ScrollView style={styles.dashboard}>
      <Text style={styles.dashboardTitle}>Growth Hacking Dashboard</Text>
      
      {/* Pirate Metrics */}
      <PirateMetricsCard />
      
      {/* Growth Levers */}
      <View style={styles.section}>
        <Text style={styles.sectionTitle}>Growth Levers</Text>
        {growthLevers.map((lever, index) => (
          <GrowthLeverCard key={index} lever={lever} />
        ))}
      </View>

      {/* Active Experiments */}
      <View style={styles.section}>
        <Text style={styles.sectionTitle}>Active Growth Experiments</Text>
        <TouchableOpacity style={styles.createButton} onPress={createNewExperiment}>
          <Text style={styles.createButtonText}>+ Create New Experiment</Text>
        </TouchableOpacity>
        
        {activeExperiments.map(experiment => (
          <ExperimentCard key={experiment.id} experiment={experiment} />
        ))}
      </View>

      {/* Growth Playbooks */}
      <View style={styles.section}>
        <Text style={styles.sectionTitle}>Growth Playbooks</Text>
        
        <View style={styles.playbooksGrid}>
          {['viral_launch', 'retention_rescue', 'revenue_optimization', 'acquisition_scaling'].map(playbook => (
            <TouchableOpacity
              key={playbook}
              style={styles.playbookButton}
              onPress={() => executePlaybook(playbook)}
            >
              <Text style={styles.playbookButtonText}>
                {playbook.replace('_', ' ').toUpperCase()}
              </Text>
            </TouchableOpacity>
          ))}
        </View>
      </View>
    </ScrollView>
  );
};

// Advanced Retention and Lifecycle Management
class UserLifecycleManager {
  constructor() {
    this.lifecycleStages = new Map();
    this.retentionCohorts = new Map();
    this.personalizedJourneys = new Map();
    this.churnPredictionModel = new Map();
    this.engagementPatterns = new Map();
    this.retentionMechanisms = new Map();
  }

  // User lifecycle stage management
  defineLifecycleStages() {
    const stages = {
      'new_user': {
        duration: 3, // days
        goals: ['complete_onboarding', 'first_core_action', 'return_day_2'],
        triggers: ['signup', 'app_install'],
        treatments: ['welcome_sequence', 'onboarding_optimization', 'early_engagement'],
        successMetrics: ['activation_rate', 'day_1_retention']
      },
      
      'activated_user': {
        duration: 14, // days
        goals: ['establish_habit', 'discover_value', 'try_premium_features'],
        triggers: ['onboarding_completed', 'first_value_delivered'],
        treatments: ['habit_formation', 'feature_discovery', 'social_integration'],
        successMetrics: ['day_7_retention', 'feature_adoption']
      },
      
      'engaged_user': {
        duration: 90, // days
        goals: ['deep_engagement', 'social_connections', 'premium_conversion'],
        triggers: ['consistent_usage', 'social_activity'],
        treatments: ['advanced_features', 'community_building', 'personalization'],
        successMetrics: ['day_30_retention', 'engagement_depth']
      },
      
      'power_user': {
        duration: Infinity,
        goals: ['advocacy', 'content_creation', 'referrals'],
        triggers: ['high_engagement', 'premium_subscriber'],
        treatments: ['vip_program', 'early_access', 'referral_rewards'],
        successMetrics: ['nps_score', 'referral_rate']
      },
      
      'at_risk': {
        duration: 7, // days
        goals: ['re_engagement', 'prevent_churn'],
        triggers: ['declining_usage', 'churn_prediction'],
        treatments: ['win_back_campaign', 'personalized_offers', 'support_outreach'],
        successMetrics: ['reactivation_rate', 'engagement_recovery']
      }
    };

    for (const [stageName, stageConfig] of Object.entries(stages)) {
      this.lifecycleStages.set(stageName, stageConfig);
    }

    return stages;
  }

  // Advanced churn prediction
  buildChurnPredictionModel() {
    const features = [
      'session_frequency',
      'session_duration', 
      'feature_usage_breadth',
      'social_connections',
      'support_interactions',
      'payment_history',
      'app_version',
      'device_type',
      'time_since_last_session',
      'completion_rates'
    ];

    const model = {
      features,
      weights: new Map(),
      thresholds: {
        high_risk: 0.8,
        medium_risk: 0.6,
        low_risk: 0.3
      },
      
      predict: (userId) => {
        const userFeatures = this.extractUserFeatures(userId);
        const churnProbability = this.calculateChurnProbability(userFeatures);
        
        const riskLevel = this.determineRiskLevel(churnProbability);
        
        return {
          userId,
          churnProbability,
          riskLevel,
          contributingFactors: this.identifyContributingFactors(userFeatures),
          recommendations: this.generateRetentionRecommendations(riskLevel, userFeatures)
        };
      },
      
      updateModel: (userChurnData) => {
        // Machine learning model update logic
        this.retrainModel(userChurnData);
      }
    };

    this.churnPredictionModel = model;
    return model;
  }

  // Personalized retention journeys
  createPersonalizedJourney(userId, userSegment) {
    const baseJourney = this.getBaseJourney(userSegment);
    const userPreferences = this.getUserPreferences(userId);
    const behaviorPattern = this.getUserBehaviorPattern(userId);
    
    const personalizedJourney = {
      userId,
      segment: userSegment,
      stages: this.personalizeJourneyStages(baseJourney.stages, userPreferences),
      triggers: this.personalizeJourneyTriggers(baseJourney.triggers, behaviorPattern),
      content: this.personalizeJourneyContent(baseJourney.content, userPreferences),
      timing: this.optimizeJourneyTiming(baseJourney.timing, behaviorPattern),
      channels: this.selectOptimalChannels(userId, userPreferences)
    };

    this.personalizedJourneys.set(userId, personalizedJourney);
    
    // Start journey execution
    this.executePersonalizedJourney(personalizedJourney);
    
    return personalizedJourney;
  }

  // Habit formation mechanics
  implementHabitFormation(userId, targetBehavior) {
    const habitLoop = {
      cue: this.designHabitCue(userId, targetBehavior),
      routine: targetBehavior,
      reward: this.designHabitReward(userId, targetBehavior),
      tracking: this.setupHabitTracking(userId, targetBehavior)
    };

    const habitMechanics = {
      streakSystem: {
        current: 0,
        longest: 0,
        milestones: [3, 7, 14, 30, 60, 90],
        rewards: this.defineStreakRewards()
      },
      
      progressVisualization: {
        type: 'progress_bar',
        gamification: true,
        socialSharing: true,
        achievements: this.defineHabitAchievements(targetBehavior)
      },
      
      reminderSystem: {
        smartTiming: this.calculateOptimalReminderTiming(userId),
        personalizedContent: this.generatePersonalizedReminders(userId, targetBehavior),
        adaptiveFrequency: this.calculateAdaptiveReminderFrequency(userId)
      },
      
      socialAccountability: {
        buddySystem: this.setupBuddySystem(userId),
        communityChallenge: this.createCommunityChallenge(targetBehavior),
        socialSharing: this.enableHabitSocialSharing(userId, targetBehavior)
      }
    };

    return this.activateHabitFormation(habitLoop, habitMechanics);
  }

  // Retention mechanism implementations
  setupRetentionMechanisms() {
    const mechanisms = {
      'push_notifications': {
        setup: (userId) => this.setupSmartNotifications(userId),
        optimize: (userId, performance) => this.optimizeNotificationStrategy(userId, performance)
      },
      
      'email_campaigns': {
        setup: (userId) => this.setupEmailCampaigns(userId),
        personalize: (userId, preferences) => this.personalizeEmailContent(userId, preferences)
      },
      
      'in_app_messaging': {
        setup: (userId) => this.setupInAppMessaging(userId),
        target: (userId, behavior) => this.triggerContextualMessage(userId, behavior)
      },
      
      'social_features': {
        setup: (userId) => this.setupSocialFeatures(userId),
        encourage: (userId) => this.encourageSocialEngagement(userId)
      },
      
      'gamification': {
        setup: (userId) => this.setupGamificationSystem(userId),
        progress: (userId, achievement) => this.updateGamificationProgress(userId, achievement)
      },
      
      'content_freshness': {
        setup: (userId) => this.setupContentRecommendations(userId),
        refresh: () => this.refreshContentStrategy()
      }
    };

    for (const [name, mechanism] of Object.entries(mechanisms)) {
      this.retentionMechanisms.set(name, mechanism);
    }

    return mechanisms;
  }

  // Cohort analysis for retention optimization
  analyzeCohortRetention(cohortDefinition, timeframe) {
    const cohorts = this.defineCohorts(cohortDefinition);
    const analysis = {
      cohorts: new Map(),
      trends: {},
      insights: [],
      recommendations: []
    };

    for (const [cohortId, cohortUsers] of cohorts.entries()) {
      const cohortAnalysis = {
        id: cohortId,
        size: cohortUsers.length,
        retentionCurve: this.calculateRetentionCurve(cohortUsers, timeframe),
        ltv: this.calculateCohortLTV(cohortUsers),
        engagementPattern: this.analyzeCohortEngagement(cohortUsers),
        characteristics: this.identifyCohortCharacteristics(cohortUsers)
      };

      analysis.cohorts.set(cohortId, cohortAnalysis);
    }

    // Identify trends and patterns
    analysis.trends = this.identifyRetentionTrends(analysis.cohorts);
    analysis.insights = this.generateRetentionInsights(analysis);
    analysis.recommendations = this.generateCohortRecommendations(analysis);

    return analysis;
  }

  // Win-back campaigns for churned users
  createWinBackCampaign(churnedUsers, churnReason) {
    const campaign = {
      id: this.generateCampaignId(),
      name: `Win-Back: ${churnReason}`,
      targetAudience: churnedUsers,
      churnReason: churnReason,
      strategy: this.selectWinBackStrategy(churnReason),
      channels: this.selectWinBackChannels(churnedUsers),
      content: this.createWinBackContent(churnReason),
      offers: this.createWinBackOffers(churnReason),
      timeline: this.createWinBackTimeline(),
      successMetrics: ['reactivation_rate', 'retention_rate', 'ltv_recovery']
    };

    return this.executeWinBackCampaign(campaign);
  }

  selectWinBackStrategy(churnReason) {
    const strategies = {
      'feature_confusion': {
        approach: 'education',
        content: 'tutorial_series',
        offer: 'personalized_onboarding'
      },
      'price_sensitivity': {
        approach: 'value_demonstration',
        content: 'roi_calculator',
        offer: 'discount_trial'
      },
      'competitor_switch': {
        approach: 'differentiation',
        content: 'feature_comparison',
        offer: 'exclusive_features'
      },
      'lack_of_engagement': {
        approach: 'gamification',
        content: 'challenge_invitation',
        offer: 'bonus_rewards'
      },
      'technical_issues': {
        approach: 'support',
        content: 'issue_resolution',
        offer: 'priority_support'
      }
    };

    return strategies[churnReason] || strategies['lack_of_engagement'];
  }
}

// User Retention Dashboard Component
const RetentionDashboard = () => {
  const [lifecycleManager] = useState(() => new UserLifecycleManager());
  const [cohortData, setCohortData] = useState(new Map());
  const [churnPredictions, setChurnPredictions] = useState([]);
  const [retentionCampaigns, setRetentionCampaigns] = useState([]);
  const [lifecycleMetrics, setLifecycleMetrics] = useState({});

  useEffect(() => {
    initializeRetentionData();
  }, []);

  const initializeRetentionData = async () => {
    // Initialize lifecycle stages
    lifecycleManager.defineLifecycleStages();
    lifecycleManager.buildChurnPredictionModel();
    lifecycleManager.setupRetentionMechanisms();

    // Load retention data
    await loadRetentionData();
  };

  const loadRetentionData = async () => {
    // Simulate loading retention data
    const cohorts = await lifecycleManager.analyzeCohortRetention('weekly', '90d');
    setCohortData(cohorts.cohorts);

    // Get churn predictions
    const predictions = await lifecycleManager.predictChurnForActiveUsers();
    setChurnPredictions(predictions.filter(p => p.riskLevel !== 'low').slice(0, 10));

    // Load lifecycle metrics
    const metrics = await lifecycleManager.getLifecycleMetrics();
    setLifecycleMetrics(metrics);
  };

  const createWinBackCampaign = async (churnReason) => {
    const churnedUsers = await lifecycleManager.getChurnedUsersByReason(churnReason);
    const campaign = await lifecycleManager.createWinBackCampaign(churnedUsers, churnReason);
    
    setRetentionCampaigns(prev => [...prev, campaign]);
    Alert.alert('Campaign Created', `Win-back campaign for ${churnReason} is now active`);
  };

  const CohortRetentionChart = ({ cohorts }) => (
    <View style={styles.cohortChart}>
      <Text style={styles.chartTitle}>Cohort Retention Analysis</Text>
      
      {Array.from(cohorts.entries()).map(([cohortId, cohort]) => (
        <View key={cohortId} style={styles.cohortRow}>
          <Text style={styles.cohortLabel}>{cohortId}</Text>
          <View style={styles.retentionBars}>
            {cohort.retentionCurve.map((retention, index) => (
              <View
                key={index}
                style={[
                  styles.retentionBar,
                  { 
                    width: retention * 100,
                    backgroundColor: this.getRetentionColor(retention)
                  }
                ]}
              >
                <Text style={styles.retentionText}>{(retention * 100).toFixed(0)}%</Text>
              </View>
            ))}
          </View>
        </View>
      ))}
    </View>
  );

  const ChurnPredictionCard = ({ prediction }) => (
    <View style={[styles.predictionCard, styles[`risk${prediction.riskLevel}`]]}>
      <View style={styles.predictionHeader}>
        <Text style={styles.userId}>User {prediction.userId}</Text>
        <Text style={styles.riskLevel}>{prediction.riskLevel.toUpperCase()} RISK</Text>
      </View>
      
      <Text style={styles.churnProbability}>
        Churn Probability: {(prediction.churnProbability * 100).toFixed(1)}%
      </Text>
      
      <Text style={styles.factorsTitle}>Contributing Factors:</Text>
      {prediction.contributingFactors.slice(0, 3).map((factor, index) => (
        <Text key={index} style={styles.factor}>• {factor}</Text>
      ))}
      
      <TouchableOpacity 
        style={styles.interventionButton}
        onPress={() => triggerRetentionIntervention(prediction.userId)}
      >
        <Text style={styles.interventionButtonText}>Trigger Intervention</Text>
      </TouchableOpacity>
    </View>
  );

  const LifecycleMetricsOverview = ({ metrics }) => (
    <View style={styles.metricsOverview}>
      <Text style={styles.overviewTitle}>Lifecycle Metrics</Text>
      
      <View style={styles.metricsGrid}>
        <View style={styles.metricCard}>
          <Text style={styles.metricValue}>{metrics.newUsers || 0}</Text>
          <Text style={styles.metricLabel}>New Users</Text>
          <Text style={styles.metricTrend}>📈 +12%</Text>
        </View>
        
        <View style={styles.metricCard}>
          <Text style={styles.metricValue}>{(metrics.activationRate * 100)?.toFixed(1) || 0}%</Text>
          <Text style={styles.metricLabel}>Activation Rate</Text>
          <Text style={styles.metricTrend}>📈 +5%</Text>
        </View>
        
        <View style={styles.metricCard}>
          <Text style={styles.metricValue}>{(metrics.retentionDay7 * 100)?.toFixed(1) || 0}%</Text>
          <Text style={styles.metricLabel}>7-Day Retention</Text>
          <Text style={styles.metricTrend}>📉 -2%</Text>
        </View>
        
        <View style={styles.metricCard}>
          <Text style={styles.metricValue}>{(metrics.churnRate * 100)?.toFixed(1) || 0}%</Text>
          <Text style={styles.metricLabel}>Churn Rate</Text>
          <Text style={styles.metricTrend}>📉 -3%</Text>
        </View>
      </View>
    </View>
  );

  const triggerRetentionIntervention = async (userId) => {
    try {
      await lifecycleManager.triggerRetentionIntervention(userId);
      Alert.alert('Intervention Triggered', 'Personalized retention campaign has been activated for this user');
      
      // Refresh predictions
      loadRetentionData();
    } catch (error) {
      Alert.alert('Error', 'Failed to trigger intervention');
    }
  };

  return (
    <ScrollView style={styles.dashboard}>
      <Text style={styles.dashboardTitle}>User Retention Dashboard</Text>
      
      {/* Lifecycle Metrics Overview */}
      <LifecycleMetricsOverview metrics={lifecycleMetrics} />
      
      {/* Cohort Retention Analysis */}
      <CohortRetentionChart cohorts={cohortData} />
      
      {/* Churn Predictions */}
      <View style={styles.section}>
        <Text style={styles.sectionTitle}>High-Risk Users (Churn Prediction)</Text>
        
        {churnPredictions.map(prediction => (
          <ChurnPredictionCard key={prediction.userId} prediction={prediction} />
        ))}
      </View>

      {/* Win-Back Campaign Controls */}
      <View style={styles.section}>
        <Text style={styles.sectionTitle}>Win-Back Campaigns</Text>
        
        <View style={styles.campaignButtons}>
          {['feature_confusion', 'price_sensitivity', 'competitor_switch', 'lack_of_engagement'].map(reason => (
            <TouchableOpacity
              key={reason}
              style={styles.campaignButton}
              onPress={() => createWinBackCampaign(reason)}
            >
              <Text style={styles.campaignButtonText}>
                {reason.replace('_', ' ').toUpperCase()}
              </Text>
            </TouchableOpacity>
          ))}
        </View>
        
        {retentionCampaigns.map(campaign => (
          <View key={campaign.id} style={styles.campaignCard}>
            <Text style={styles.campaignName}>{campaign.name}</Text>
            <Text style={styles.campaignStatus}>Status: {campaign.status}</Text>
            <Text style={styles.campaignStats}>
              Reactivation Rate: {(campaign.reactivationRate * 100).toFixed(1)}%
            </Text>
          </View>
        ))}
      </View>
    </ScrollView>
  );
};

// Growth Analytics and Optimization Engine
class GrowthAnalyticsEngine {
  constructor() {
    this.analyticsData = new Map();
    this.optimizationRules = new Map();
    this.automatedActions = new Map();
    this.growthInsights = new Map();
  }

  // Advanced growth analytics
  calculateGrowthMetrics(timeframe = '30d') {
    const metrics = {
      growth: {
        user_growth_rate: this.calculateUserGrowthRate(timeframe),
        revenue_growth_rate: this.calculateRevenueGrowthRate(timeframe),
        organic_growth_rate: this.calculateOrganicGrowthRate(timeframe),
        viral_growth_rate: this.calculateViralGrowthRate(timeframe)
      },
      
      acquisition: {
        cost_per_acquisition: this.calculateCPA(timeframe),
        lifetime_value: this.calculateLTV(timeframe),
        ltv_cpa_ratio: this.calculateLTVCAParatio(timeframe),
        payback_period: this.calculatePaybackPeriod(timeframe),
        channel_performance: this.analyzeChannelPerformance(timeframe)
      },
      
      activation: {
        activation_rate: this.calculateActivationRate(timeframe),
        time_to_activation: this.calculateTimeToActivation(timeframe),
        activation_funnel: this.analyzeActivationFunnel(timeframe),
        activation_quality: this.assessActivationQuality(timeframe)
      },
      
      retention: {
        cohort_retention: this.analyzeCohortRetention(timeframe),
        churn_rate: this.calculateChurnRate(timeframe),
        retention_curve: this.generateRetentionCurve(timeframe),
        retention_factors: this.identifyRetentionFactors(timeframe)
      },
      
      monetization: {
        conversion_rate: this.calculateConversionRate(timeframe),
        average_revenue_per_user: this.calculateARPU(timeframe),
        revenue_per_visitor: this.calculateRPV(timeframe),
        monetization_funnel: this.analyzeMonetizationFunnel(timeframe)
      }
    };

    return metrics;
  }

  // Automated growth optimization
  setupGrowthOptimization() {
    const optimizationRules = {
      'low_activation_rate': {
        condition: (metrics) => metrics.activation.activation_rate < 0.25,
        actions: [
          'optimize_onboarding_flow',
          'reduce_friction_points',
          'improve_first_user_experience',
          'test_activation_triggers'
        ],
        priority: 'critical'
      },
      
      'high_churn_rate': {
        condition: (metrics) => metrics.retention.churn_rate > 0.15,
        actions: [
          'implement_retention_campaigns',
          'improve_product_stickiness',
          'enhance_user_support',
          'create_engagement_loops'
        ],
        priority: 'high'
      },
      
      'low_viral_coefficient': {
        condition: (metrics) => metrics.growth.viral_growth_rate < 1.0,
        actions: [
          'optimize_referral_program',
          'improve_sharing_mechanisms',
          'add_viral_features',
          'incentivize_word_of_mouth'
        ],
        priority: 'medium'
      },
      
      'poor_ltv_cpa_ratio': {
        condition: (metrics) => metrics.acquisition.ltv_cpa_ratio < 3.0,
        actions: [
          'optimize_acquisition_channels',
          'improve_user_lifetime_value',
          'reduce_acquisition_costs',
          'focus_on_high_value_segments'
        ],
        priority: 'high'
      }
    };

    for (const [ruleName, rule] of Object.entries(optimizationRules)) {
      this.optimizationRules.set(ruleName, rule);
    }

    // Set up automated optimization checks
    this.scheduleOptimizationChecks();
  }

  scheduleOptimizationChecks() {
    setInterval(() => {
      this.runOptimizationChecks();
    }, 24 * 60 * 60 * 1000); // Daily checks
  }

  async runOptimizationChecks() {
    const currentMetrics = this.calculateGrowthMetrics();
    const triggeredRules = [];

    for (const [ruleName, rule] of this.optimizationRules.entries()) {
      if (rule.condition(currentMetrics)) {
        triggeredRules.push({ name: ruleName, rule, metrics: currentMetrics });
      }
    }

    // Execute automated actions
    for (const triggered of triggeredRules) {
      await this.executeOptimizationActions(triggered);
    }

    return triggeredRules;
  }

  async executeOptimizationActions(triggeredRule) {
    const { name, rule, metrics } = triggeredRule;
    
    console.log(`Executing optimization for: ${name}`);
    
    for (const action of rule.actions) {
      try {
        await this.executeOptimizationAction(action, metrics);
      } catch (error) {
        console.error(`Failed to execute optimization action ${action}:`, error);
      }
    }
  }

  async executeOptimizationAction(action, metrics) {
    const actions = {
      'optimize_onboarding_flow': () => this.optimizeOnboardingFlow(),
      'implement_retention_campaigns': () => this.implementRetentionCampaigns(metrics),
      'optimize_referral_program': () => this.optimizeReferralProgram(metrics),
      'optimize_acquisition_channels': () => this.optimizeAcquisitionChannels(metrics),
      'reduce_friction_points': () => this.reduceFrictionPoints(),
      'improve_product_stickiness': () => this.improveProductStickiness(),
      'add_viral_features': () => this.addViralFeatures(),
      'focus_on_high_value_segments': () => this.focusOnHighValueSegments(metrics)
    };

    const actionFunction = actions[action];
    if (actionFunction) {
      return await actionFunction();
    }
  }

  // Growth insights generation
  generateGrowthInsights(metrics, historicalData) {
    const insights = {
      trends: this.identifyGrowthTrends(metrics, historicalData),
      opportunities: this.identifyGrowthOpportunities(metrics),
      risks: this.identifyGrowthRisks(metrics),
      recommendations: this.generateGrowthRecommendations(metrics),
      predictions: this.generateGrowthPredictions(metrics, historicalData)
    };

    // Store insights for dashboard
    this.growthInsights.set(Date.now(), insights);

    return insights;
  }

  identifyGrowthTrends(currentMetrics, historicalData) {
    const trends = [];

    // User growth trend
    const userGrowthTrend = this.calculateTrend(
      historicalData.map(d => d.growth.user_growth_rate)
    );
    
    if (userGrowthTrend.direction === 'upward') {
      trends.push({
        type: 'positive',
        metric: 'user_growth',
        message: `User growth accelerating by ${userGrowthTrend.rate.toFixed(1)}% monthly`,
        confidence: userGrowthTrend.confidence
      });
    }

    // Revenue trend
    const revenueGrowthTrend = this.calculateTrend(
      historicalData.map(d => d.growth.revenue_growth_rate)
    );

    if (revenueGrowthTrend.direction === 'upward') {
      trends.push({
        type: 'positive',
        metric: 'revenue_growth',
        message: `Revenue growth trending upward at ${revenueGrowthTrend.rate.toFixed(1)}%`,
        confidence: revenueGrowthTrend.confidence
      });
    }

    return trends;
  }

  identifyGrowthOpportunities(metrics) {
    const opportunities = [];

    // High LTV/CAC ratio opportunity
    if (metrics.acquisition.ltv_cpa_ratio > 5.0) {
      opportunities.push({
        type: 'scaling_opportunity',
        description: 'High LTV/CAC ratio indicates room for aggressive scaling',
        potential_impact: 'high',
        recommended_actions: [
          'Increase marketing budget',
          'Expand to new channels',
          'Scale successful campaigns'
        ]
      });
    }

    // Viral growth potential
    if (metrics.growth.viral_growth_rate > 0.8 && metrics.growth.viral_growth_rate < 1.2) {
      opportunities.push({
        type: 'viral_optimization',
        description: 'Close to viral coefficient of 1.0 - small improvements could drive exponential growth',
        potential_impact: 'critical',
        recommended_actions: [
          'A/B test referral incentives',
          'Optimize sharing UX',
          'Add more viral touchpoints'
        ]
      });
    }

    return opportunities;
  }

  // Real-time growth monitoring
  setupRealTimeMonitoring() {
    const monitors = {
      'user_acquisition_spike': {
        metric: 'hourly_signups',
        threshold: 'dynamic', // Based on historical patterns
        action: 'scale_infrastructure'
      },
      
      'viral_content_detection': {
        metric: 'sharing_velocity',
        threshold: '3x_normal',
        action: 'amplify_viral_content'
      },
      
      'churn_spike': {
        metric: 'hourly_churn_rate',
        threshold: '2x_normal',
        action: 'emergency_retention_campaign'
      }
    };

    // Set up real-time monitoring
    for (const [monitorName, config] of Object.entries(monitors)) {
      this.setupMetricMonitor(monitorName, config);
    }
  }

  // Growth experimentation framework
  createGrowthExperimentFramework() {
    const framework = {
      experiment_types: {
        'acquisition': ['landing_page', 'ad_creative', 'targeting', 'pricing'],
        'activation': ['onboarding', 'first_experience', 'tutorial', 'feature_discovery'],
        'retention': ['notifications', 'email_campaigns', 'in_app_messaging', 'gamification'],
        'referral': ['incentives', 'sharing_ux', 'viral_mechanics', 'social_proof'],
        'revenue': ['pricing', 'packaging', 'upsells', 'billing_optimization']
      },
      
      prioritization_framework: {
        impact: 'potential_improvement_percentage',
        confidence: 'experiment_success_probability',
        ease: 'implementation_complexity',
        reach: 'affected_user_percentage'
      },
      
      experiment_lifecycle: {
        design: (hypothesis, metrics) => this.designExperiment(hypothesis, metrics),
        implement: (experiment) => this.implementExperiment(experiment),
        monitor: (experiment) => this.monitorExperiment(experiment),
        analyze: (experiment) => this.analyzeExperimentResults(experiment),
        decide: (results) => this.makeExperimentDecision(results)
      }
    };

    return framework;
  }
}

// Usage in Growth Analytics Dashboard
const GrowthAnalyticsDashboard = () => {
  const [analyticsEngine] = useState(() => new GrowthAnalyticsEngine());
  const [growthMetrics, setGrowthMetrics] = useState({});
  const [growthInsights, setGrowthInsights] = useState({});
  const [optimizationActions, setOptimizationActions] = useState([]);

  useEffect(() => {
    initializeAnalytics();
  }, []);

  const initializeAnalytics = async () => {
    analyticsEngine.setupGrowthOptimization();
    analyticsEngine.setupRealTimeMonitoring();
    
    await loadAnalyticsData();
  };

  const loadAnalyticsData = async () => {
    const metrics = analyticsEngine.calculateGrowthMetrics();
    setGrowthMetrics(metrics);
    
    const historicalData = await analyticsEngine.getHistoricalData();
    const insights = analyticsEngine.generateGrowthInsights(metrics, historicalData);
    setGrowthInsights(insights);
    
    const actions = await analyticsEngine.runOptimizationChecks();
    setOptimizationActions(actions);
  };

  return (
    <ScrollView style={styles.analyticsDashboard}>
      <Text style={styles.dashboardTitle}>Growth Analytics & Optimization</Text>
      
      {/* Growth Metrics Summary */}
      <View style={styles.metricsSection}>
        <Text style={styles.sectionTitle}>Growth Health Score</Text>
        {/* Growth metrics visualization */}
      </View>
      
      {/* Growth Insights */}
      <View style={styles.insightsSection}>
        <Text style={styles.sectionTitle}>Growth Insights</Text>
        {/* Insights and trends display */}
      </View>
      
      {/* Automated Optimizations */}
      <View style={styles.optimizationSection}>
        <Text style={styles.sectionTitle}>Automated Optimizations</Text>
        {/* Active optimization actions */}
      </View>
    </ScrollView>
  );
};