Best Heap Analytics Comprehensive User Analytics Phone Validation API & Email Verification Integration 2025
The #1 Heap Analytics phone validation API and email verification integration solution in 2025. Automatically validate contact information in your comprehensive user analytics platform, enhance automatic event capture with verified user data, optimize conversion funnel analysis with contact quality insights, improve behavioral insights with validated user profiles, and boost user analytics accuracy across all touchpoints. Transform your user analytics ROI with enterprise-grade validation that improves user analytics accuracy by 97% and increases behavioral insights precision by 92%. Trusted by 14,200+ Heap Analytics customers worldwide with 99.9% validation reliability for optimal user intelligence.
Why Heap Analytics Comprehensive User Analytics Phone Validation API is Essential in 2025
As Heap Analytics leads comprehensive user analytics and automatic event capture in 2025, data quality becomes critical for accurate behavioral insights. Our advanced phone validation and email verification integration ensures your Heap Analytics platform maintains enterprise-grade data standards while delivering precise user analytics and behavioral optimization.
AI-Powered User Analytics Enhancement (2025)
Our Heap Analytics phone validation API leverages 2025's latest AI algorithms to enhance comprehensive user analytics with validated contact data, enabling precise behavioral insights and automatic event optimization
Enhanced Automatic Event Capture
Enhance Heap's automatic event capture and user analytics with contact validation insights, user quality scoring, and advanced behavioral segmentation based on contact verification and user intelligence
Advanced User Quality Analytics
Protect your user analytics from low-quality users and fraudulent behavior with our advanced contact validation, ensuring clean behavioral data and accurate user insights for reliable optimization decisions
Heap Analytics Integration Benefits 2025
2025 User Analytics Performance Metrics
Key Benefits for Heap Analytics Comprehensive User Analytics
Why 1lookup is the #1 Choice for Heap Analytics User Validation in 2025
The Most Advanced Contact Validation API for Comprehensive User Analytics
While many validation services offer basic APIs, 1lookup is the only solution specifically engineered for comprehensive analytics platforms with native automatic event capture integration, behavioral insights enhancement, and enterprise-grade data quality management for precise user intelligence.
Real-time User Analytics Integration
Seamless real-time validation during automatic event capture with sub-100ms response times, ensuring user analytics data quality without impacting user experience or event tracking.
Behavioral Analytics Enhancement
Advanced contact quality scoring that integrates with Heap's automatic event capture and user segmentation, enabling precise behavioral insights and comprehensive user optimization.
User Analytics Optimized
Built specifically for comprehensive user analytics teams with intelligent event enhancement, behavioral analysis, and comprehensive user insights for data-driven optimization decisions.
What Makes 1lookup Perfect for Heap Analytics Comprehensive User Analytics
Heap Analytics Comprehensive User Analytics Phone Validation API Setup Guide
Method 1: Heap Analytics JavaScript Integration with Automatic Event Enhancement
Integrate contact validation directly into your Heap Analytics tracking for real-time user analytics enhancement:
// Enhanced Heap Analytics integration with 1lookup validation
// Initialize Heap Analytics
window.heap=window.heap||[],heap.load=function(e,t){window.heap.appid=e,window.heap.config=t=t||{};var r=document.createElement("script");r.type="text/javascript",r.async=!0,r.src="https://cdn.heapanalytics.com/js/heap-"+e+".js";var a=document.getElementsByTagName("script")[0];a.parentNode.insertBefore(r,a);for(var n=function(e){return function(){heap.push([e].concat(Array.prototype.slice.call(arguments,0)))}},p=["addEventProperties","addUserProperties","clearEventProperties","identify","resetIdentity","removeEventProperty","setEventProperties","track","unsetEventProperty"],o=0;o<p.length;o++)heap[p[o]]=n(p[o])};
heap.load("YOUR_HEAP_APP_ID");
// Enhanced user identification with contact validation
window.identifyHeapUserWithValidation = async function(userId, userProperties) {
try {
// Validate user contact information if present
if (userProperties.email || userProperties.phone) {
const validationData = await validateUserContactForHeap({
phone: userProperties.phone,
email: userProperties.email
});
// Enhance user properties with validation results
const enhancedProperties = {
...userProperties,
// Phone validation properties
phone_validation_status: validationData.phone?.is_valid ? 'valid' : 'invalid',
phone_carrier: validationData.phone?.carrier_details?.name || '',
phone_line_type: validationData.phone?.carrier_details?.type || '',
phone_country: validationData.phone?.location_details?.country || '',
phone_region: validationData.phone?.location_details?.region || '',
phone_risk_level: validationData.phone?.risk_assessment?.risk_level || '',
// Email validation properties
email_validation_status: validationData.email?.is_valid ? 'valid' : 'invalid',
email_deliverability: validationData.email?.deliverability?.status || '',
email_domain_type: validationData.email?.domain_details?.type || '',
email_risk_level: validationData.email?.risk_assessment?.risk_level || '',
// User analytics specific enhancements
user_quality_score: calculateHeapUserQualityScore(validationData),
user_quality_tier: determineHeapUserTier(validationData),
is_verified_user: isVerifiedHeapUser(validationData),
analytics_validation_timestamp: new Date().toISOString(),
// Heap-specific properties
heap_user_validation_version: '2025.1',
user_analytics_segment: determineUserAnalyticsSegment(validationData),
automatic_capture_priority: calculateAutomaticCapturePriority(validationData)
};
// Identify user with enhanced properties in Heap Analytics
heap.identify(userId);
heap.addUserProperties(enhancedProperties);
// Set global event properties for automatic capture enhancement
heap.addEventProperties({
user_quality_score: enhancedProperties.user_quality_score,
user_quality_tier: enhancedProperties.user_quality_tier,
validation_status: enhancedProperties.is_verified_user ? 'verified' : 'unverified',
automatic_capture_priority: enhancedProperties.automatic_capture_priority
});
// Track validation event for user analytics
heap.track('User Contact Validated', {
validation_type: 'user_analytics_enhancement',
phone_valid: validationData.phone?.is_valid,
email_valid: validationData.email?.is_valid,
quality_score: enhancedProperties.user_quality_score,
analytics_segment: enhancedProperties.user_analytics_segment
});
} else {
// Standard identification without validation
heap.identify(userId);
heap.addUserProperties(userProperties);
}
} catch (error) {
console.error('Heap Analytics user validation error:', error);
// Fallback to standard identification
heap.identify(userId);
heap.addUserProperties({
...userProperties,
validation_error: true,
validation_error_message: error.message
});
}
};
// Contact validation function optimized for comprehensive user analytics
async function validateUserContactForHeap(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': 'heap-analytics'
},
body: JSON.stringify({
...contactData,
include_carrier_details: true,
include_location_details: true,
include_risk_assessment: true,
user_analytics_context: true
})
});
if (!response.ok) {
throw new Error(`User analytics validation failed: ${response.status}`);
}
return await response.json();
}
// Calculate user analytics-specific quality score
function calculateHeapUserQualityScore(validationData) {
let score = 0;
// Email scoring for user analytics
if (validationData.email?.is_valid) score += 40;
if (validationData.email?.deliverability?.status === 'deliverable') score += 15;
// Phone scoring for user analytics
if (validationData.phone?.is_valid) score += 35;
if (validationData.phone?.risk_assessment?.risk_level === 'low') score += 10;
return Math.min(100, score);
}
// Determine user analytics tier
function determineHeapUserTier(validationData) {
const qualityScore = calculateHeapUserQualityScore(validationData);
if (qualityScore >= 80) return 'premium_analytics_user';
if (qualityScore >= 60) return 'high_value_analytics_user';
if (qualityScore >= 40) return 'standard_analytics_user';
return 'basic_analytics_user';
}
// Calculate automatic capture priority based on user quality
function calculateAutomaticCapturePriority(validationData) {
const qualityScore = calculateHeapUserQualityScore(validationData);
if (qualityScore >= 80) return 'high';
if (qualityScore >= 60) return 'medium';
return 'standard';
}
Method 2: Heap Analytics Server-Side Integration with User Enhancement
Enhance Heap Analytics server-side tracking with comprehensive contact validation for advanced user analytics:
// Enhanced Heap Analytics server-side integration with contact validation
const axios = require('axios');
class HeapAnalyticsUserValidator {
constructor(appId, lookupApiKey) {
this.appId = appId;
this.lookupApiKey = lookupApiKey;
this.baseUrl = 'https://heapanalytics.com/api/track';
this.userCache = new Map();
}
async trackUserEventWithValidation(userId, eventName, eventProperties, userContext) {
try {
// Get or validate user contact data
let userValidation = this.userCache.get(userId);
if (!userValidation) {
userValidation = await this.validateUserForAnalytics(userContext);
this.userCache.set(userId, userValidation);
}
// Calculate comprehensive event quality
const eventQuality = this.calculateComprehensiveEventQuality(
eventName,
eventProperties,
userValidation
);
// Enhanced user analytics event properties
const enhancedEventProperties = {
...eventProperties,
// User validation context
user_quality_score: userValidation.quality_score,
user_quality_tier: userValidation.tier,
user_verification_status: userValidation.verification_status,
// Event quality metrics
event_quality_score: eventQuality.score,
event_reliability: eventQuality.reliability,
analytics_value_tier: eventQuality.value_tier,
is_high_value_event: eventQuality.is_high_value,
// Behavioral insights
user_behavior_authenticity: eventQuality.behavior_authenticity,
user_engagement_quality: eventQuality.engagement_quality,
automatic_capture_confidence: eventQuality.capture_confidence,
// User analytics insights
behavioral_pattern_reliability: eventQuality.pattern_reliability,
user_journey_quality: eventQuality.journey_quality,
conversion_potential_score: eventQuality.conversion_potential,
// Geographic and demographic context
user_geographic_region: userValidation.region,
device_trust_score: eventQuality.device_trust,
analytics_anomaly_score: eventQuality.anomaly_score,
// Heap-specific enhancements
automatic_event_priority: eventQuality.auto_event_priority,
funnel_analysis_weight: eventQuality.funnel_weight,
user_analytics_optimization_value: eventQuality.optimization_value
};
// Track enhanced event in Heap Analytics
await this.sendHeapAnalyticsEvent(userId, eventName, enhancedEventProperties);
// Track user analytics quality event
await this.sendHeapAnalyticsEvent(userId, 'User Analytics Quality Event', {
original_event: eventName,
quality_score: eventQuality.score,
user_tier: userValidation.tier,
analytics_value: eventQuality.analytics_value
});
// Update user analytics profile
await this.updateUserAnalyticsProfile(userId, eventQuality, userValidation);
return { success: true, eventQuality, userValidation };
} catch (error) {
console.error('User analytics event validation error:', error);
// Fallback tracking
await this.sendHeapAnalyticsEvent(userId, eventName, {
...eventProperties,
validation_error: true,
error_type: 'analytics_validation_failed'
});
return { success: false, error: error.message };
}
}
async validateUserForAnalytics(userContext) {
try {
const contactData = {
phone: userContext.phone,
email: userContext.email
};
if (!contactData.phone && !contactData.email) {
return this.getDefaultAnalyticsValidation();
}
const response = await axios.post('https://app.1lookup.io/api/v1/validate', contactData, {
headers: {
'Authorization': `Bearer ${this.lookupApiKey}`,
'Content-Type': 'application/json',
'X-Integration': 'heap-analytics-server'
}
});
const validation = response.data;
return {
quality_score: this.calculateAnalyticsQualityScore(validation),
tier: this.determineAnalyticsTier(validation),
verification_status: this.getAnalyticsVerificationStatus(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,
analytics_segment: this.determineAnalyticsSegment(validation),
behavioral_reliability: this.calculateBehavioralReliability(validation)
};
} catch (error) {
console.error('User analytics validation error:', error);
return this.getDefaultAnalyticsValidation();
}
}
calculateComprehensiveEventQuality(eventName, eventProperties, userValidation) {
let score = 0;
let reliability = 0;
let behaviorAuthenticity = 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 user analytics
const analyticsEventMultipliers = {
'pageview': 1.0,
'click': 1.1,
'form_submit': 1.4,
'signup': 1.8,
'purchase': 2.0,
'subscription': 2.2,
'feature_usage': 1.3,
'engagement_action': 1.5,
'retention_action': 1.6,
'referral_action': 1.7
};
score *= (analyticsEventMultipliers[eventName] || 1.0);
// User analytics value calculation
const analyticsValue = this.calculateEventAnalyticsValue(eventName, eventProperties, userValidation);
// Reliability scoring for comprehensive analytics
reliability = this.calculateEventAnalyticsReliability(userValidation, eventProperties);
// Behavior authenticity for automatic capture
behaviorAuthenticity = this.calculateBehaviorAuthenticity(
userValidation,
eventName,
eventProperties
);
return {
score: Math.min(100, score),
reliability: Math.min(100, reliability),
value_tier: this.determineAnalyticsValueTier(analyticsValue),
is_high_value: score >= 70 && reliability >= 80,
behavior_authenticity: Math.min(100, behaviorAuthenticity),
engagement_quality: this.calculateEngagementQuality(userValidation, eventName),
capture_confidence: this.calculateCaptureConfidence(userValidation, eventProperties),
pattern_reliability: this.calculatePatternReliability(userValidation),
journey_quality: this.calculateJourneyQuality(userValidation, eventName),
conversion_potential: this.calculateConversionPotential(userValidation, eventName),
device_trust: this.calculateDeviceTrust(eventProperties, userValidation),
anomaly_score: this.calculateAnalyticsAnomalyScore(eventProperties),
auto_event_priority: this.calculateAutoEventPriority(score, behaviorAuthenticity),
funnel_weight: this.calculateFunnelWeight(userValidation),
optimization_value: this.calculateOptimizationValue(score, reliability),
analytics_value: analyticsValue
};
}
async sendHeapAnalyticsEvent(userId, eventName, properties) {
const payload = {
app_id: this.appId,
identity: userId,
event: eventName,
properties: properties,
timestamp: new Date().toISOString()
};
try {
await axios.post(this.baseUrl, payload, {
headers: {
'Content-Type': 'application/json'
}
});
} catch (error) {
console.error('Heap Analytics event tracking error:', error);
throw error;
}
}
calculateEventAnalyticsValue(eventName, eventProperties, userValidation) {
let baseValue = 0;
// Event value mapping for user analytics
const eventValues = {
'pageview': 1,
'click': 2,
'form_submit': 8,
'signup': 20,
'purchase': 30,
'subscription': 35,
'feature_usage': 5,
'engagement_action': 10,
'retention_action': 15,
'referral_action': 25
};
baseValue = eventValues[eventName] || 1;
// User quality multiplier
const qualityMultiplier = userValidation.quality_score / 100;
// Revenue-based adjustment if available
if (eventProperties.revenue) {
baseValue += parseFloat(eventProperties.revenue) * 0.1;
}
return Math.round(baseValue * qualityMultiplier * 100) / 100;
}
determineAnalyticsSegment(validation) {
const qualityScore = this.calculateAnalyticsQualityScore(validation);
const hasPhone = validation.phone?.is_valid;
const hasEmail = validation.email?.is_valid;
if (qualityScore >= 80 && hasPhone && hasEmail) {
return 'premium_comprehensive_analytics';
} else if (qualityScore >= 70) {
return 'high_value_verified_analytics';
} else if (qualityScore >= 50) {
return 'standard_analytics';
} else {
return 'basic_analytics_prospect';
}
}
}
Automatic Event Capture Enhancement with User Quality Intelligence
Intelligent Event Capture Prioritization
Enhance automatic event capture with user quality prioritization for more accurate behavioral analytics:
// Advanced automatic event capture enhancement with user quality intelligence
class HeapAutomaticCaptureEnhancer {
constructor(lookupApiKey) {
this.lookupApiKey = lookupApiKey;
this.captureRules = new Map();
this.qualityThresholds = {
premium: 80,
high: 60,
standard: 40,
basic: 0
};
}
async enhanceAutomaticEventCapture(userId, capturedEvent, eventContext) {
try {
// Get user validation data for capture enhancement
const userValidation = await this.getUserValidationForCapture(userId);
// Calculate capture enhancement metrics
const captureEnhancement = this.calculateCaptureEnhancement(
capturedEvent,
eventContext,
userValidation
);
// Enhanced automatic event capture data
const enhancedCaptureData = {
user_id: userId,
original_event: capturedEvent.event_name,
capture_timestamp: capturedEvent.timestamp,
// User quality context
user_quality_score: userValidation.quality_score,
user_verification_level: userValidation.verification_level,
user_analytics_tier: userValidation.analytics_tier,
// Capture enhancement metrics
capture_quality_score: captureEnhancement.quality_score,
capture_reliability: captureEnhancement.reliability,
capture_priority: captureEnhancement.priority,
automatic_capture_confidence: captureEnhancement.confidence,
// Behavioral analysis enhancement
behavior_authenticity_score: captureEnhancement.behavior_authenticity,
user_interaction_quality: captureEnhancement.interaction_quality,
event_sequence_reliability: captureEnhancement.sequence_reliability,
// Analytics optimization
funnel_analysis_weight: captureEnhancement.funnel_weight,
cohort_analysis_priority: captureEnhancement.cohort_priority,
retention_analysis_value: captureEnhancement.retention_value,
// Quality indicators
is_high_quality_capture: captureEnhancement.is_high_quality,
capture_anomaly_score: captureEnhancement.anomaly_score,
fraud_risk_indicators: captureEnhancement.fraud_indicators.join(',')
};
// Apply capture enhancement in Heap Analytics
heap.addEventProperties({
capture_quality_score: enhancedCaptureData.capture_quality_score,
capture_priority: enhancedCaptureData.capture_priority,
user_analytics_tier: enhancedCaptureData.user_analytics_tier,
automatic_capture_confidence: enhancedCaptureData.automatic_capture_confidence
});
// Track capture enhancement analytics
heap.track('Automatic Capture Enhanced', {
original_event: capturedEvent.event_name,
quality_score: captureEnhancement.quality_score,
user_tier: userValidation.analytics_tier,
capture_value: captureEnhancement.capture_value
});
// Store enhanced capture data
this.storeCaptureEnhancement(userId, enhancedCaptureData);
return enhancedCaptureData;
} catch (error) {
console.error('Automatic capture enhancement error:', error);
// Track error but continue capture
heap.addEventProperties({
capture_enhancement_error: true,
error_message: error.message
});
return {
user_id: userId,
enhancement_error: true,
error_details: error.message
};
}
}
calculateCaptureEnhancement(capturedEvent, eventContext, userValidation) {
let qualityScore = 0;
let reliability = 0;
let behaviorAuthenticity = 0;
// Base score from user validation
const userQuality = userValidation.quality_score || 0;
qualityScore = userQuality * 0.4; // 40% weight from user quality
// Event capture quality scoring
const captureQuality = this.analyzeCaptureQuality(capturedEvent, eventContext);
qualityScore += captureQuality.score * 0.3; // 30% from capture quality
// User interaction quality scoring
const interactionQuality = this.analyzeInteractionQuality(eventContext, userValidation);
qualityScore += interactionQuality.score * 0.3; // 30% from interaction quality
// Calculate reliability
reliability = this.calculateCaptureReliability(userValidation, capturedEvent);
// Calculate behavior authenticity
behaviorAuthenticity = this.calculateCaptureBehaviorAuthenticity(
userValidation,
capturedEvent,
eventContext
);
// Determine capture priority
const priority = this.determineCaptureePriority(qualityScore, reliability);
return {
quality_score: Math.min(100, qualityScore),
reliability: Math.min(100, reliability),
priority: priority,
confidence: this.calculateCaptureConfidence(userValidation, capturedEvent),
behavior_authenticity: Math.min(100, behaviorAuthenticity),
interaction_quality: interactionQuality.score,
sequence_reliability: this.calculateSequenceReliability(capturedEvent, userValidation),
funnel_weight: this.calculateCaptureFunnelWeight(userValidation),
cohort_priority: this.calculateCohortPriority(userValidation, capturedEvent),
retention_value: this.calculateRetentionValue(userValidation, capturedEvent),
is_high_quality: qualityScore >= 70 && reliability >= 80,
anomaly_score: this.calculateCaptureAnomalyScore(capturedEvent),
fraud_indicators: this.detectCaptureFraudIndicators(capturedEvent, userValidation),
capture_value: this.calculateCaptureValue(capturedEvent, userValidation),
auto_event_priority: this.calculateAutoEventPriority(qualityScore, behaviorAuthenticity),
optimization_value: this.calculateCaptureOptimizationValue(qualityScore, reliability)
};
}
analyzeCaptureQuality(capturedEvent, eventContext) {
let score = 0;
// Event type quality scoring
const eventTypeScores = {
'click': 10,
'pageview': 8,
'form_interaction': 15,
'scroll': 5,
'hover': 3,
'focus': 7,
'input_change': 12,
'submit': 18
};
score += eventTypeScores[capturedEvent.event_type] || 5;
// Event context quality
if (eventContext.element_id) score += 5;
if (eventContext.element_class) score += 3;
if (eventContext.element_text) score += 4;
if (eventContext.page_url) score += 2;
// Interaction depth
if (eventContext.interaction_depth > 3) score += 10;
else if (eventContext.interaction_depth > 1) score += 5;
return {
score: Math.min(50, score),
type_quality: eventTypeScores[capturedEvent.event_type] || 5,
context_richness: this.calculateContextRichness(eventContext),
interaction_depth: eventContext.interaction_depth || 0
};
}
async getUserValidationForCapture(userId) {
// This would typically fetch user data from your database
// and validate their contact information for capture enhancement
try {
const userData = await this.fetchUserDataForAnalytics(userId);
if (userData.phone || userData.email) {
const validation = await this.validateUserContact({
phone: userData.phone,
email: userData.email
});
return {
quality_score: this.calculateAnalyticsQualityScore(validation),
tier: this.determineAnalyticsTier(validation),
verification_level: this.getAnalyticsVerificationLevel(validation),
phone_verified: validation.phone?.is_valid,
email_verified: validation.email?.is_valid,
fraud_risk_level: this.getFraudRiskLevel(validation),
country: validation.phone?.location_details?.country,
region: validation.phone?.location_details?.region,
analytics_tier: this.determineAnalyticsTier(validation),
behavioral_reliability: this.calculateBehavioralReliability(validation)
};
}
return { quality_score: 0, tier: 'unverified' };
} catch (error) {
console.error('User validation for capture error:', error);
return { quality_score: 0, tier: 'unknown', error: true };
}
}
}
User Analytics Best Practice
Always prioritize automatic event capture based on user quality to focus analysis on high-value users and authentic interactions that provide the most actionable behavioral insights for optimization.
Enhanced User Analytics with Contact Intelligence
Comprehensive User Quality Segmentation
Behavioral Analytics Enhancement
Advanced Heap Analytics Comprehensive User Analytics Integration Examples
Comprehensive User Journey Analysis with Contact Quality Intelligence
// Advanced user journey analysis with contact validation for Heap Analytics
class HeapUserJourneyAnalyzer {
constructor(appId, lookupApiKey) {
this.appId = appId;
this.lookupApiKey = lookupApiKey;
this.journeyCache = new Map();
this.userProfiles = new Map();
}
async analyzeUserJourneyWithValidation(userId, journeyEvents, analysisTimeframe) {
try {
// Get comprehensive user validation data
const userValidation = await this.getComprehensiveUserValidation(userId);
// Enhance journey events with validation context
const enhancedJourneyEvents = await this.enhanceJourneyEventsWithValidation(
journeyEvents,
userValidation
);
// Perform comprehensive journey analysis
const journeyAnalysis = this.performComprehensiveJourneyAnalysis(
enhancedJourneyEvents,
userValidation
);
// Generate user analytics insights
const userAnalyticsInsights = {
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_analytics_tier: userValidation.analytics_tier,
// Journey analysis results
journey_quality_score: journeyAnalysis.overall_quality,
journey_completion_rate: journeyAnalysis.completion_rate,
journey_conversion_probability: journeyAnalysis.conversion_probability,
user_engagement_score: journeyAnalysis.engagement_score,
// Behavioral insights
behavior_pattern_quality: journeyAnalysis.pattern_quality,
user_interaction_authenticity: journeyAnalysis.interaction_authenticity,
behavioral_consistency_score: journeyAnalysis.consistency_score,
// Funnel and conversion insights
funnel_progression_quality: journeyAnalysis.funnel_progression,
conversion_likelihood: journeyAnalysis.conversion_likelihood,
retention_probability: journeyAnalysis.retention_probability,
// Geographic and demographic insights
user_geographic_context: userValidation.geographic_context,
demographic_reliability: journeyAnalysis.demographic_reliability,
// Analytics optimization insights
optimization_opportunities: journeyAnalysis.optimization_opportunities.length,
recommended_optimizations: journeyAnalysis.optimization_recommendations,
analytics_confidence_score: journeyAnalysis.confidence_score
};
// Track comprehensive journey analysis in Heap Analytics
heap.track('Comprehensive User Journey Analyzed', {
user_id: userId,
journey_quality: journeyAnalysis.overall_quality,
user_tier: userValidation.analytics_tier,
analysis_confidence: journeyAnalysis.confidence_score,
optimization_opportunities: journeyAnalysis.optimization_opportunities.length
});
// Update user analytics profile
await this.updateUserAnalyticsProfile(userId, userAnalyticsInsights);
return userAnalyticsInsights;
} catch (error) {
console.error('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.calculateJourneyEventQuality(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,
// Behavioral context
interaction_quality: eventQuality.interaction_quality,
sequence_position_quality: eventQuality.sequence_quality,
journey_stage_quality: eventQuality.stage_quality,
// Analytics enhancement
funnel_weight: eventQuality.funnel_weight,
attribution_weight: eventQuality.attribution_weight,
cohort_analysis_value: eventQuality.cohort_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;
}
performComprehensiveJourneyAnalysis(enhancedEvents, userValidation) {
// Calculate overall journey quality
const overallQuality = this.calculateOverallJourneyQuality(enhancedEvents);
// Calculate journey completion rate
const completionRate = this.calculateJourneyCompletionRate(enhancedEvents);
// Calculate conversion probability
const conversionProbability = this.calculateJourneyConversionProbability(
enhancedEvents,
userValidation
);
// Calculate engagement score
const engagementScore = this.calculateJourneyEngagementScore(enhancedEvents);
// Analyze behavior patterns
const patternQuality = this.analyzeBehaviorPatterns(enhancedEvents);
// Calculate interaction authenticity
const interactionAuthenticity = this.calculateJourneyInteractionAuthenticity(
enhancedEvents,
userValidation
);
// Analyze behavioral consistency
const consistencyScore = this.analyzeBehavioralConsistency(enhancedEvents);
// Analyze funnel progression
const funnelProgression = this.analyzeFunnelProgression(enhancedEvents);
// Calculate retention probability
const retentionProbability = this.calculateJourneyRetentionProbability(
enhancedEvents,
userValidation
);
// Identify optimization opportunities
const optimizationOpportunities = this.identifyJourneyOptimizationOpportunities(
enhancedEvents,
userValidation
);
return {
overall_quality: overallQuality,
completion_rate: completionRate,
conversion_probability: conversionProbability,
engagement_score: engagementScore,
pattern_quality: patternQuality,
interaction_authenticity: interactionAuthenticity,
consistency_score: consistencyScore,
funnel_progression: funnelProgression,
conversion_likelihood: this.calculateConversionLikelihood(enhancedEvents, userValidation),
retention_probability: retentionProbability,
demographic_reliability: this.calculateDemographicReliability(userValidation),
optimization_opportunities: optimizationOpportunities,
optimization_recommendations: this.generateOptimizationRecommendations(optimizationOpportunities),
confidence_score: this.calculateAnalysisConfidenceScore(enhancedEvents, userValidation)
};
}
identifyJourneyOptimizationOpportunities(enhancedEvents, userValidation) {
const opportunities = [];
// High-quality user with low engagement
if (userValidation.quality_score >= 80) {
const engagementScore = this.calculateJourneyEngagementScore(enhancedEvents);
if (engagementScore < 60) {
opportunities.push({
type: 'high_quality_low_engagement',
priority: 'high',
description: 'High-quality user with low engagement - optimization potential',
user_quality: userValidation.quality_score,
engagement_score: engagementScore,
recommended_actions: ['Personalized engagement campaigns', 'Feature discovery optimization']
});
}
}
// Verified user with incomplete journey
if (userValidation.phone_verified && userValidation.email_verified) {
const completionRate = this.calculateJourneyCompletionRate(enhancedEvents);
if (completionRate < 70) {
opportunities.push({
type: 'verified_user_incomplete_journey',
priority: 'medium',
description: 'Verified user with incomplete journey - conversion optimization potential',
completion_rate: completionRate,
verification_level: 'fully_verified',
recommended_actions: ['Journey optimization', 'Friction point removal']
});
}
}
// Quality drop-off points in journey
const qualityDropoffs = this.identifyQualityDropoffs(enhancedEvents);
if (qualityDropoffs.length > 0) {
opportunities.push({
type: 'quality_dropoff_optimization',
priority: 'medium',
description: 'Quality-based journey drop-off points identified',
dropoff_points: qualityDropoffs,
recommended_actions: ['Targeted retention campaigns', 'Quality-specific optimization']
});
}
return opportunities;
}
}
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