Best Pendo Product Analytics Phone Validation API & Email Verification Integration 2025

// Enhanced Pendo integration with 1lookup validation
// Initialize Pendo
(function(apiKey){
  (function(p,e,n,d,o){var v,w,x,y,z;o=p[d]=p[d]||{};o._q=o._q||[];
  v=['initialize','identify','updateOptions','pageLoad','track'];for(w=0,x=v.length;w<x;++w)(function(m){
  o[m]=o[m]||function(){o._q[m===v[0]?'unshift':'push']([m].concat([].slice.call(arguments,0)))}})(v[w]);
  y=e.createElement(n);y.async=!0;y.src='https://cdn.pendo.io/agent/static/'+apiKey+'/pendo.js';
  z=e.getElementsByTagName(n)[0];z.parentNode.insertBefore(y,z)})(window,document,'script','pendo');
})(YOUR_PENDO_API_KEY);

// Enhanced user identification with contact validation for product analytics
window.identifyPendoUserWithValidation = async function(userId, userAttributes, accountAttributes) {
  try {
    // Validate user contact information if present
    if (userAttributes.email || userAttributes.phone) {
      const validationData = await validateUserContactForPendo({
        phone: userAttributes.phone,
        email: userAttributes.email
      });
      
      // Enhance user attributes with validation results
      const enhancedUserAttributes = {
        ...userAttributes,
        // Phone validation attributes
        phoneValidationStatus: validationData.phone?.is_valid ? 'valid' : 'invalid',
        phoneCarrier: validationData.phone?.carrier_details?.name || '',
        phoneLineType: validationData.phone?.carrier_details?.type || '',
        phoneCountry: validationData.phone?.location_details?.country || '',
        phoneRegion: validationData.phone?.location_details?.region || '',
        phoneRiskLevel: validationData.phone?.risk_assessment?.risk_level || '',
        // Email validation attributes
        emailValidationStatus: validationData.email?.is_valid ? 'valid' : 'invalid',
        emailDeliverability: validationData.email?.deliverability?.status || '',
        emailDomainType: validationData.email?.domain_details?.type || '',
        emailRiskLevel: validationData.email?.risk_assessment?.risk_level || '',
        // Product analytics specific enhancements
        userProductQuality: calculateProductAnalyticsUserQuality(validationData),
        userProductTier: determineProductAnalyticsUserTier(validationData),
        isVerifiedProductUser: isVerifiedProductAnalyticsUser(validationData),
        productValidationTimestamp: new Date().toISOString(),
        // Pendo-specific attributes
        pendoValidationVersion: '2025.1',
        productAnalyticsSegment: determineProductAnalyticsSegment(validationData),
        userGuidancePriority: calculateUserGuidancePriority(validationData),
        productAdoptionPotential: calculateProductAdoptionPotential(validationData)
      };
      
      // Enhance account attributes if available
      const enhancedAccountAttributes = accountAttributes ? {
        ...accountAttributes,
        accountQualityScore: calculateAccountQualityScore(validationData, accountAttributes),
        accountVerificationLevel: determineAccountVerificationLevel(validationData, accountAttributes)
      } : undefined;
      
      // Initialize Pendo with enhanced attributes
      pendo.initialize({
        visitor: {
          id: userId,
          ...enhancedUserAttributes
        },
        account: enhancedAccountAttributes ? {
          id: accountAttributes.id,
          ...enhancedAccountAttributes
        } : undefined
      });
      
      // Track validation event for product analytics
      pendo.track('UserContactValidated', {
        validationType: 'product_analytics_enhancement',
        phoneValid: validationData.phone?.is_valid,
        emailValid: validationData.email?.is_valid,
        qualityScore: enhancedUserAttributes.userProductQuality,
        productSegment: enhancedUserAttributes.productAnalyticsSegment
      });
      
    } else {
      // Standard initialization without validation
      pendo.initialize({
        visitor: {
          id: userId,
          ...userAttributes
        },
        account: accountAttributes
      });
    }
    
  } catch (error) {
    console.error('Pendo user validation error:', error);
    // Fallback to standard initialization
    pendo.initialize({
      visitor: {
        id: userId,
        ...userAttributes,
        validationError: true,
        validationErrorMessage: error.message
      },
      account: accountAttributes
    });
  }
};

// Contact validation function optimized for product analytics
async function validateUserContactForPendo(contactData) {
  const response = await fetch('https://app.1lookup.io/api/v1/validate', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_1LOOKUP_API_KEY',
      'Content-Type': 'application/json',
      'X-Integration': 'pendo-product-analytics'
    },
    body: JSON.stringify({
      ...contactData,
      include_carrier_details: true,
      include_location_details: true,
      include_risk_assessment: true,
      product_analytics_context: true
    })
  });
  
  if (!response.ok) {
    throw new Error(`Product analytics validation failed: ${response.status}`);
  }
  
  return await response.json();
}

// Calculate product analytics-specific user quality score
function calculateProductAnalyticsUserQuality(validationData) {
  let score = 0;
  
  // Email scoring for product analytics
  if (validationData.email?.is_valid) score += 40;
  if (validationData.email?.deliverability?.status === 'deliverable') score += 15;
  
  // Phone scoring for product analytics
  if (validationData.phone?.is_valid) score += 35;
  if (validationData.phone?.risk_assessment?.risk_level === 'low') score += 10;
  
  return Math.min(100, score);
}

// Determine product analytics user tier
function determineProductAnalyticsUserTier(validationData) {
  const qualityScore = calculateProductAnalyticsUserQuality(validationData);
  
  if (qualityScore >= 80) return 'premium_product_user';
  if (qualityScore >= 60) return 'high_value_product_user';
  if (qualityScore >= 40) return 'standard_product_user';
  return 'basic_product_user';
}

// Calculate user guidance priority based on validation quality
function calculateUserGuidancePriority(validationData) {
  const qualityScore = calculateProductAnalyticsUserQuality(validationData);
  
  if (qualityScore >= 80) return 'personalized';
  if (qualityScore >= 60) return 'guided';
  if (qualityScore >= 40) return 'standard';
  return 'basic';
}

// Calculate product adoption potential
function calculateProductAdoptionPotential(validationData) {
  let potential = 50; // Base potential
  
  if (validationData.phone?.is_valid) potential += 20;
  if (validationData.email?.is_valid) potential += 20;
  if (validationData.email?.deliverability?.status === 'deliverable') potential += 10;
  
  return Math.min(100, potential);
}

// Enhanced Pendo server-side integration with contact validation
const axios = require('axios');

class PendoProductAnalyticsValidator {
  constructor(integrationKey, lookupApiKey) {
    this.integrationKey = integrationKey;
    this.lookupApiKey = lookupApiKey;
    this.baseUrl = 'https://app.pendo.io/data';
    this.userProductCache = new Map();
  }
  
  async trackProductEventWithValidation(userId, eventName, eventProperties, userContext, accountContext) {
    try {
      // Get or validate user contact data
      let userValidation = this.userProductCache.get(userId);
      if (!userValidation) {
        userValidation = await this.validateUserForProductAnalytics(userContext);
        this.userProductCache.set(userId, userValidation);
      }
      
      // Calculate product event quality
      const eventQuality = this.calculateProductEventQuality(
        eventName,
        eventProperties,
        userValidation
      );
      
      // Enhanced product analytics event properties
      const enhancedEventProperties = {
        ...eventProperties,
        // User validation context
        userProductQuality: userValidation.quality_score,
        userProductTier: userValidation.tier,
        userVerificationStatus: userValidation.verification_status,
        // Event quality metrics
        eventProductQuality: eventQuality.score,
        eventReliability: eventQuality.reliability,
        productValueTier: eventQuality.value_tier,
        isHighValueProductEvent: eventQuality.is_high_value,
        // Product analytics insights
        productAdoptionWeight: eventQuality.adoption_weight,
        userGuidanceEffectiveness: eventQuality.guidance_effectiveness,
        productEngagementScore: eventQuality.engagement_score,
        // User quality insights
        userProductSuccess: eventQuality.product_success_likelihood,
        userRetentionScore: eventQuality.retention_score,
        productOptimizationPriority: eventQuality.optimization_priority,
        // Geographic and behavioral context
        userGeographicRegion: userValidation.region,
        deviceProductTrust: eventQuality.device_trust,
        productAnomalyScore: eventQuality.anomaly_score,
        // Pendo-specific enhancements
        productSegment: this.determineProductSegment(userValidation),
        guidancePersonalizationLevel: eventQuality.personalization_level,
        productAnalyticsOptimizationValue: eventQuality.optimization_value
      };
      
      // Send enhanced product event to Pendo
      await this.sendPendoProductEvent(userId, eventName, enhancedEventProperties, accountContext);
      
      // Track product quality analytics
      await this.sendPendoProductEvent(userId, 'ProductQualityAnalytics', {
        originalEvent: eventName,
        qualityScore: eventQuality.score,
        userTier: userValidation.tier,
        productValue: eventQuality.product_value
      }, accountContext);
      
      // Update user product analytics profile
      await this.updateUserProductAnalyticsProfile(userId, eventQuality, userValidation);
      
      return { success: true, eventQuality, userValidation };
      
    } catch (error) {
      console.error('Product event validation error:', error);
      
      // Fallback tracking
      await this.sendPendoProductEvent(userId, eventName, {
        ...eventProperties,
        validationError: true,
        errorType: 'product_validation_failed'
      }, accountContext);
      
      return { success: false, error: error.message };
    }
  }
  
  async validateUserForProductAnalytics(userContext) {
    try {
      const contactData = {
        phone: userContext.phone,
        email: userContext.email
      };
      
      if (!contactData.phone && !contactData.email) {
        return this.getDefaultProductValidation();
      }
      
      const response = await axios.post('https://app.1lookup.io/api/v1/validate', contactData, {
        headers: {
          'Authorization': `Bearer ${this.lookupApiKey}`,
          'Content-Type': 'application/json',
          'X-Integration': 'pendo-server'
        }
      });
      
      const validation = response.data;
      
      return {
        quality_score: this.calculateProductAnalyticsQualityScore(validation),
        tier: this.determineProductAnalyticsTier(validation),
        verification_status: this.getProductVerificationStatus(validation),
        phone_verified: validation.phone?.is_valid,
        email_verified: validation.email?.is_valid,
        fraud_risk_level: validation.fraud_risk_level,
        country: validation.phone?.location_details?.country,
        region: validation.phone?.location_details?.region,
        carrier_type: validation.phone?.carrier_details?.type,
        product_segment: this.determineProductSegment(validation),
        guidance_reliability: this.calculateGuidanceReliability(validation)
      };
      
    } catch (error) {
      console.error('User product analytics validation error:', error);
      return this.getDefaultProductValidation();
    }
  }
  
  calculateProductEventQuality(eventName, eventProperties, userValidation) {
    let score = 0;
    let reliability = 0;
    let productValue = 0;
    
    // Base score from user validation
    const userQuality = userValidation.quality_score || 0;
    score = userQuality * 0.5; // 50% weight from user quality
    
    // Event-specific scoring for product analytics
    const productEventMultipliers = {
      'pageLoad': 1.0,
      'featureUsage': 1.4,
      'guideShown': 1.2,
      'guideCompleted': 1.6,
      'pollResponse': 1.3,
      'trackEvent': 1.1,
      'goalAchieved': 2.0,
      'featureAdopted': 1.8,
      'productSuccess': 2.2,
      'userRetained': 1.9
    };
    
    score *= (productEventMultipliers[eventName] || 1.0);
    
    // Product analytics value calculation
    productValue = this.calculateEventProductValue(eventName, eventProperties, userValidation);
    
    // Reliability scoring for product analytics
    reliability = this.calculateEventProductReliability(userValidation, eventProperties);
    
    return {
      score: Math.min(100, score),
      reliability: Math.min(100, reliability),
      value_tier: this.determineProductValueTier(productValue),
      is_high_value: score >= 70 && reliability >= 80,
      adoption_weight: this.calculateAdoptionWeight(userValidation),
      guidance_effectiveness: this.calculateGuidanceEffectiveness(userValidation, eventProperties),
      engagement_score: this.calculateProductEngagementScore(userValidation, eventName),
      product_success_likelihood: this.calculateProductSuccessLikelihood(userValidation, eventName),
      retention_score: this.calculateProductRetentionScore(userValidation, eventName),
      optimization_priority: this.calculateProductOptimizationPriority(score, reliability),
      device_trust: this.calculateDeviceTrust(eventProperties, userValidation),
      anomaly_score: this.calculateProductAnomalyScore(eventProperties),
      personalization_level: this.calculatePersonalizationLevel(userValidation),
      optimization_value: this.calculateProductOptimizationValue(score, reliability),
      product_value: productValue
    };
  }
  
  async sendPendoProductEvent(userId, eventName, properties, accountContext) {
    const payload = {
      type: 'track',
      userId: userId,
      event: eventName,
      properties: properties,
      context: {
        integration: {
          name: 'pendo-1lookup',
          version: '2025.1'
        },
        account: accountContext || {},
        timestamp: new Date().toISOString()
      }
    };
    
    try {
      await axios.post(`${this.baseUrl}/track`, payload, {
        headers: {
          'Authorization': `Bearer ${this.integrationKey}`,
          'Content-Type': 'application/json'
        }
      });
    } catch (error) {
      console.error('Pendo product event tracking error:', error);
      throw error;
    }
  }
  
  calculateEventProductValue(eventName, eventProperties, userValidation) {
    let baseValue = 0;
    
    // Event value mapping for product analytics
    const eventValues = {
      'pageLoad': 1,
      'featureUsage': 5,
      'guideShown': 3,
      'guideCompleted': 10,
      'pollResponse': 7,
      'trackEvent': 2,
      'goalAchieved': 20,
      'featureAdopted': 15,
      'productSuccess': 25,
      'userRetained': 22
    };
    
    baseValue = eventValues[eventName] || 1;
    
    // User quality multiplier
    const qualityMultiplier = userValidation.quality_score / 100;
    
    // Feature importance adjustment
    if (eventProperties.featureImportance) {
      const importanceMultiplier = {
        'critical': 1.5,
        'important': 1.3,
        'useful': 1.1,
        'nice_to_have': 0.9
      };
      baseValue *= (importanceMultiplier[eventProperties.featureImportance] || 1.0);
    }
    
    return Math.round(baseValue * qualityMultiplier * 100) / 100;
  }
  
  determineProductSegment(userValidation) {
    const qualityScore = userValidation.quality_score || 0;
    const hasPhone = userValidation.phone_verified;
    const hasEmail = userValidation.email_verified;
    
    if (qualityScore >= 80 && hasPhone && hasEmail) {
      return 'premium_product_analytics';
    } else if (qualityScore >= 70) {
      return 'high_value_verified_product';
    } else if (qualityScore >= 50) {
      return 'standard_product_analytics';
    } else {
      return 'basic_product_prospect';
    }
  }
}

// Advanced product feature analytics with contact validation for Pendo
class PendoProductFeatureAnalyzer {
  constructor(integrationKey, lookupApiKey) {
    this.integrationKey = integrationKey;
    this.lookupApiKey = lookupApiKey;
    this.featureAnalytics = new Map();
    this.userProductProfiles = new Map();
  }
  
  async analyzeFeatureUsageWithValidation(userId, featureId, usageData, userContext) {
    try {
      // Get comprehensive user validation for product feature analysis
      const userValidation = await this.getComprehensiveUserValidationForProduct(userId, userContext);
      
      // Calculate feature usage quality metrics
      const featureQuality = this.calculateFeatureUsageQuality(
        featureId,
        usageData,
        userValidation
      );
      
      // Enhanced product feature analytics
      const featureAnalytics = {
        user_id: userId,
        feature_id: featureId,
        usage_timestamp: new Date().toISOString(),
        // User validation context
        user_product_quality: userValidation.quality_score,
        user_verification_level: userValidation.verification_level,
        user_product_tier: userValidation.product_tier,
        // Feature usage quality metrics
        usage_quality_score: featureQuality.score,
        usage_authenticity: featureQuality.authenticity,
        usage_reliability: featureQuality.reliability,
        feature_engagement_quality: featureQuality.engagement_quality,
        // Product intelligence insights
        feature_value_realization: featureQuality.value_realization,
        usage_depth_score: featureQuality.depth_score,
        feature_stickiness_prediction: featureQuality.stickiness_prediction,
        user_success_correlation: featureQuality.success_correlation,
        // User behavior insights
        usage_pattern_quality: featureQuality.pattern_quality,
        feature_discovery_path_quality: featureQuality.discovery_path_quality,
        user_intent_alignment: featureQuality.intent_alignment,
        // Predictive metrics
        continued_usage_probability: featureQuality.continued_usage_probability,
        feature_advocacy_potential: featureQuality.advocacy_potential,
        cross_feature_usage_likelihood: featureQuality.cross_usage_likelihood,
        // Geographic and demographic context
        user_geographic_region: userValidation.region,
        product_market_segment: featureQuality.market_segment,
        // Optimization insights
        feature_optimization_opportunities: featureQuality.optimization_opportunities.length,
        personalization_recommendations: featureQuality.personalization_recommendations,
        retention_enhancement_actions: featureQuality.retention_actions,
        guidance_optimization_suggestions: featureQuality.guidance_suggestions
      };
      
      // Track feature analytics in Pendo
      await this.sendPendoProductEvent(userId, 'FeatureUsageAnalyzed', {
        featureId: featureId,
        usageQuality: featureQuality.score,
        userTier: userValidation.product_tier,
        valueRealization: featureQuality.value_realization,
        stickinessPrediction: featureQuality.stickiness_prediction
      });
      
      // Update user product analytics profile
      await this.updateUserProductProfile(userId, featureId, featureAnalytics);
      
      // Trigger product feature optimization
      await this.triggerProductFeatureOptimization(userId, featureQuality, featureId);
      
      return featureAnalytics;
      
    } catch (error) {
      console.error('Product feature analytics error:', error);
      return { error: error.message, feature_id: featureId };
    }
  }
  
  calculateFeatureUsageQuality(featureId, usageData, userValidation) {
    let score = 0;
    let authenticity = 0;
    let reliability = 0;
    
    // User quality contribution (50%)
    const userQuality = userValidation.quality_score || 0;
    score = userQuality * 0.5;
    
    // Usage behavior contribution (30%)
    const usageBehaviorScore = this.calculateUsageBehaviorScore(usageData);
    score += usageBehaviorScore * 0.3;
    
    // Feature importance contribution (20%)
    const featureImportanceScore = this.calculateFeatureImportanceScore(featureId, usageData);
    score += featureImportanceScore * 0.2;
    
    // Calculate authenticity
    authenticity = this.calculateUsageAuthenticity(userValidation, usageData);
    
    // Calculate reliability
    reliability = this.calculateUsageReliability(userValidation, usageData);
    
    // Calculate various quality metrics
    const engagementQuality = this.calculateFeatureEngagementQuality(usageData, userValidation);
    const valueRealization = this.calculateFeatureValueRealization(featureId, usageData, userValidation);
    const depthScore = this.calculateUsageDepthScore(usageData);
    
    return {
      score: Math.min(100, score),
      authenticity: Math.min(100, authenticity),
      reliability: Math.min(100, reliability),
      engagement_quality: engagementQuality,
      value_realization: valueRealization,
      depth_score: depthScore,
      stickiness_prediction: this.calculateFeatureStickinessaPrediction(usageData, userValidation),
      success_correlation: this.calculateFeatureSuccessCorrelation(userValidation, usageData),
      pattern_quality: this.calculateUsagePatternQuality(usageData),
      discovery_path_quality: this.calculateFeatureDiscoveryPathQuality(usageData, userValidation),
      intent_alignment: this.calculateUserIntentAlignment(userValidation, featureId),
      continued_usage_probability: this.calculateContinuedFeatureUsageProbability(usageData, userValidation),
      advocacy_potential: this.calculateFeatureAdvocacyPotential(userValidation, usageData),
      cross_usage_likelihood: this.calculateCrossFeatureUsageLikelihood(userValidation, featureId),
      market_segment: this.determineProductMarketSegment(userValidation, featureId),
      optimization_opportunities: this.identifyFeatureOptimizations(usageData, userValidation),
      personalization_recommendations: this.generateFeaturePersonalizationRecommendations(
        userValidation,
        featureId,
        usageData
      ),
      retention_actions: this.generateFeatureRetentionActions(userValidation, usageData),
      guidance_suggestions: this.generateGuidanceSuggestions(userValidation, featureId, usageData)
    };
  }
  
  async sendPendoProductEvent(userId, eventName, properties, accountContext) {
    const payload = {
      type: 'track',
      userId: userId,
      event: eventName,
      properties: properties,
      context: {
        integration: {
          name: 'pendo-1lookup-product',
          version: '2025.1'
        },
        account: accountContext || {},
        timestamp: new Date().toISOString()
      }
    };
    
    try {
      await axios.post(`${this.baseUrl}/track`, payload, {
        headers: {
          'Authorization': `Bearer ${this.integrationKey}`,
          'Content-Type': 'application/json',
          'X-Pendo-Integration-Key': this.integrationKey
        }
      });
    } catch (error) {
      console.error('Pendo product event tracking error:', error);
      throw error;
    }
  }
  
  calculateUsageBehaviorScore(usageData) {
    let score = 0;
    
    // Usage frequency scoring
    const usageFrequency = usageData.frequency || 0;
    if (usageFrequency >= 10) score += 35; // Power user
    else if (usageFrequency >= 5) score += 25; // Regular user
    else if (usageFrequency >= 2) score += 15; // Occasional user
    else if (usageFrequency >= 1) score += 8; // Trial user
    
    // Usage depth scoring
    const usageDepth = usageData.depth_score || 0;
    if (usageDepth >= 80) score += 30; // Deep usage
    else if (usageDepth >= 60) score += 20; // Medium usage
    else if (usageDepth >= 40) score += 10; // Shallow usage
    
    // Time investment scoring
    const timeSpent = usageData.total_time || 0;
    if (timeSpent >= 3600) score += 20; // 1+ hour
    else if (timeSpent >= 1800) score += 15; // 30+ minutes
    else if (timeSpent >= 600) score += 10; // 10+ minutes
    
    // Success indicators
    if (usageData.goals_completed > 0) score += 15;
    if (usageData.advanced_features_used > 0) score += 10;
    
    return Math.min(100, score);
  }
}

// Advanced product user journey analytics with contact validation for Pendo
class PendoUserJourneyAnalyzer {
  constructor(integrationKey, lookupApiKey) {
    this.integrationKey = integrationKey;
    this.lookupApiKey = lookupApiKey;
    this.journeyCache = new Map();
    this.userGuidanceProfiles = new Map();
  }
  
  async analyzeProductUserJourneyWithValidation(userId, journeyEvents, analysisTimeframe) {
    try {
      // Get comprehensive user validation data
      const userValidation = await this.getComprehensiveUserValidationForJourney(userId);
      
      // Enhance journey events with validation context
      const enhancedJourneyEvents = await this.enhanceJourneyEventsWithValidation(
        journeyEvents,
        userValidation
      );
      
      // Perform comprehensive product journey analysis
      const journeyAnalysis = this.performComprehensiveProductJourneyAnalysis(
        enhancedJourneyEvents,
        userValidation
      );
      
      // Generate product analytics insights
      const productAnalyticsInsights = {
        user_id: userId,
        analysis_timeframe: analysisTimeframe,
        total_events: enhancedJourneyEvents.length,
        // User validation context
        user_quality_score: userValidation.quality_score,
        user_verification_level: userValidation.verification_level,
        user_product_tier: userValidation.product_tier,
        // Journey analysis results
        journey_quality_score: journeyAnalysis.overall_quality,
        journey_completion_rate: journeyAnalysis.completion_rate,
        product_adoption_probability: journeyAnalysis.adoption_probability,
        user_guidance_effectiveness: journeyAnalysis.guidance_effectiveness,
        // Product insights
        product_feature_engagement: journeyAnalysis.feature_engagement,
        user_product_success_score: journeyAnalysis.success_score,
        product_value_realization: journeyAnalysis.value_realization,
        // Guidance and personalization insights
        guidance_personalization_score: journeyAnalysis.personalization_score,
        user_guidance_receptivity: journeyAnalysis.guidance_receptivity,
        product_learning_curve_quality: journeyAnalysis.learning_curve_quality,
        // Predictive analytics
        product_retention_probability: journeyAnalysis.retention_probability,
        feature_expansion_likelihood: journeyAnalysis.expansion_likelihood,
        user_advocacy_potential: journeyAnalysis.advocacy_potential,
        // Geographic and demographic insights
        user_geographic_context: userValidation.geographic_context,
        product_market_segment: journeyAnalysis.market_segment,
        // Optimization insights
        optimization_opportunities: journeyAnalysis.optimization_opportunities.length,
        recommended_optimizations: journeyAnalysis.optimization_recommendations,
        guidance_improvement_suggestions: journeyAnalysis.guidance_improvements,
        analytics_confidence_score: journeyAnalysis.confidence_score
      };
      
      // Track comprehensive product journey analysis in Pendo
      await this.sendPendoProductEvent(userId, 'ProductUserJourneyAnalyzed', {
        userId: userId,
        journeyQuality: journeyAnalysis.overall_quality,
        userTier: userValidation.product_tier,
        analysisConfidence: journeyAnalysis.confidence_score,
        optimizationOpportunities: journeyAnalysis.optimization_opportunities.length
      });
      
      // Update user product analytics profile
      await this.updateUserProductAnalyticsProfile(userId, productAnalyticsInsights);
      
      return productAnalyticsInsights;
      
    } catch (error) {
      console.error('Product user journey analysis error:', error);
      return { error: error.message, user_id: userId };
    }
  }
  
  async enhanceJourneyEventsWithValidation(journeyEvents, userValidation) {
    const enhancedEvents = [];
    
    for (const event of journeyEvents) {
      try {
        // Calculate event-specific quality metrics
        const eventQuality = this.calculateProductJourneyEventQuality(event, userValidation);
        
        // Enhance event with validation context
        const enhancedEvent = {
          ...event,
          // User validation context
          user_quality_score: userValidation.quality_score,
          user_verification_status: userValidation.verification_status,
          // Event quality metrics
          event_quality_score: eventQuality.score,
          event_reliability: eventQuality.reliability,
          event_authenticity: eventQuality.authenticity,
          event_value_tier: eventQuality.value_tier,
          // Product context
          product_interaction_quality: eventQuality.interaction_quality,
          journey_sequence_quality: eventQuality.sequence_quality,
          product_stage_quality: eventQuality.stage_quality,
          // Analytics enhancement
          guidance_weight: eventQuality.guidance_weight,
          attribution_weight: eventQuality.attribution_weight,
          adoption_analysis_value: eventQuality.adoption_value
        };
        
        enhancedEvents.push(enhancedEvent);
        
      } catch (error) {
        console.error('Event enhancement error:', error);
        // Add event with error flag
        enhancedEvents.push({
          ...event,
          enhancement_error: true,
          error_message: error.message
        });
      }
    }
    
    return enhancedEvents;
  }
  
  performComprehensiveProductJourneyAnalysis(enhancedEvents, userValidation) {
    // Calculate overall journey quality
    const overallQuality = this.calculateOverallProductJourneyQuality(enhancedEvents);
    
    // Calculate journey completion rate
    const completionRate = this.calculateProductJourneyCompletionRate(enhancedEvents);
    
    // Calculate adoption probability
    const adoptionProbability = this.calculateProductAdoptionProbability(
      enhancedEvents,
      userValidation
    );
    
    // Calculate guidance effectiveness
    const guidanceEffectiveness = this.calculateGuidanceEffectiveness(enhancedEvents);
    
    // Analyze product feature engagement
    const featureEngagement = this.analyzeProductFeatureEngagement(enhancedEvents);
    
    // Calculate user product success score
    const successScore = this.calculateUserProductSuccessScore(
      enhancedEvents,
      userValidation
    );
    
    // Calculate product value realization
    const valueRealization = this.calculateProductValueRealization(enhancedEvents);
    
    // Calculate personalization opportunities
    const personalizationScore = this.calculateProductPersonalizationScore(
      enhancedEvents,
      userValidation
    );
    
    // Calculate guidance receptivity
    const guidanceReceptivity = this.calculateGuidanceReceptivity(enhancedEvents, userValidation);
    
    // Analyze learning curve quality
    const learningCurveQuality = this.analyzeProductLearningCurveQuality(enhancedEvents);
    
    // Calculate retention probability
    const retentionProbability = this.calculateProductRetentionProbability(
      enhancedEvents,
      userValidation
    );
    
    // Identify optimization opportunities
    const optimizationOpportunities = this.identifyProductJourneyOptimizations(
      enhancedEvents,
      userValidation
    );
    
    return {
      overall_quality: overallQuality,
      completion_rate: completionRate,
      adoption_probability: adoptionProbability,
      guidance_effectiveness: guidanceEffectiveness,
      feature_engagement: featureEngagement,
      success_score: successScore,
      value_realization: valueRealization,
      personalization_score: personalizationScore,
      guidance_receptivity: guidanceReceptivity,
      learning_curve_quality: learningCurveQuality,
      retention_probability: retentionProbability,
      expansion_likelihood: this.calculateFeatureExpansionLikelihood(enhancedEvents, userValidation),
      advocacy_potential: this.calculateUserAdvocacyPotential(enhancedEvents, userValidation),
      geographic_context: userValidation.geographic_context,
      market_segment: this.determineProductJourneyMarketSegment(userValidation, enhancedEvents),
      optimization_opportunities: optimizationOpportunities,
      optimization_recommendations: this.generateProductOptimizationRecommendations(optimizationOpportunities),
      guidance_improvements: this.generateGuidanceImprovements(enhancedEvents, userValidation),
      confidence_score: this.calculateProductAnalysisConfidenceScore(enhancedEvents, userValidation)
    };
  }
}