Best Kixie PowerCall Phone Validation API & Sales Engagement Integration 2025

// Advanced sales campaign optimization for Kixie
class KixieCampaignOptimizer {
  constructor(kixieAPI, oneLookupClient) {
    this.kixie = kixieAPI;
    this.lookup = oneLookupClient;
  }

  async optimizeSalesCampaign(campaignId, optimizationGoals) {
    const campaign = await this.kixie.getCampaign(campaignId);
    const contacts = await this.kixie.getCampaignContacts(campaignId);
    
    console.log(`Optimizing campaign: ${campaign.name} with ${contacts.length} contacts`);

    // Validate and score all contacts
    const processedContacts = await this.processContactsForSales(contacts, optimizationGoals);
    
    // Create optimized calling strategy
    const strategy = await this.createSalesStrategy(processedContacts, optimizationGoals);
    
    // Apply optimizations to Kixie
    await this.applyCampaignOptimizations(campaignId, strategy);

    return {
      campaign: campaign.name,
      totalContacts: contacts.length,
      qualifiedContacts: processedContacts.filter(c => c.qualified).length,
      expectedImprovement: strategy.projectedImprovement,
      strategy: strategy
    };
  }

  async processContactsForSales(contacts, goals) {
    const processed = [];
    const batchSize = 50;

    for (let i = 0; i < contacts.length; i += batchSize) {
      const batch = contacts.slice(i, i + batchSize);
      
      const batchResults = await Promise.allSettled(
        batch.map(contact => this.analyzeContactForSales(contact, goals))
      );

      for (let j = 0; j < batchResults.length; j++) {
        const result = batchResults[j];
        const contact = batch[j];

        if (result.status === 'fulfilled' && result.value) {
          processed.push({
            ...contact,
            ...result.value,
            qualified: result.value.salesScore > 60
          });
        } else {
          processed.push({
            ...contact,
            qualified: false,
            salesScore: 0,
            error: result.reason?.message || 'Processing failed'
          });
        }
      }

      // Rate limiting
      await new Promise(resolve => setTimeout(resolve, 200));
    }

    return processed;
  }

  async analyzeContactForSales(contact, goals) {
    try {
      // Comprehensive contact analysis
      const analysis = await this.lookup.sales.analyzeContact({
        phone: contact.phoneNumber,
        contactData: contact,
        includeCarrierInfo: true,
        includeLocationInfo: true,
        includeDemographics: true,
        includeBehavioralPredictions: true,
        includeEngagementHistory: true,
        salesContext: goals
      });

      // Calculate sales-specific score
      const salesScore = await this.calculateSalesScore(analysis, contact, goals);
      
      // Determine optimal engagement strategy
      const engagementStrategy = await this.determineEngagementStrategy(analysis, salesScore);
      
      // Predict call outcome
      const outcomePreduction = await this.predictCallOutcome(analysis, contact);

      return {
        validation: analysis,
        salesScore: salesScore,
        engagementStrategy: engagementStrategy,
        predictedOutcome: outcomePreduction,
        optimalCallTime: analysis.optimalTiming,
        priority: this.calculateCallPriority(salesScore, goals),
        recommendedApproach: this.generateSalesApproach(analysis, contact)
      };

    } catch (error) {
      console.error(`Failed to analyze contact ${contact.id}:`, error);
      return null;
    }
  }

  async calculateSalesScore(analysis, contact, goals) {
    let score = 50; // Base score

    // Phone validation quality (20 points)
    if (analysis.isValid) score += 15;
    if (analysis.confidence > 90) score += 5;

    // Demographic alignment (25 points)
    if (analysis.demographics) {
      if (goals.targetDemographics) {
        const alignment = this.calculateDemographicAlignment(
          analysis.demographics, 
          goals.targetDemographics
        );
        score += alignment * 25;
      }
    }

    // Geographic targeting (15 points)
    if (goals.targetRegions && analysis.locationInfo) {
      if (goals.targetRegions.includes(analysis.locationInfo.region)) {
        score += 15;
      }
    }

    // Engagement history (20 points)
    if (contact.engagementHistory) {
      const engagementScore = this.calculateEngagementScore(contact.engagementHistory);
      score += engagementScore * 20;
    }

    // Carrier quality (10 points)
    if (analysis.carrierInfo && analysis.carrierInfo.businessFriendly) {
      score += 10;
    }

    // Time-based factors (10 points)
    const timeScore = this.calculateTimeScore(analysis.optimalTiming);
    score += timeScore * 10;

    return Math.max(0, Math.min(100, Math.round(score)));
  }

  async createSalesStrategy(contacts, goals) {
    const qualified = contacts.filter(c => c.qualified);
    const highPriority = qualified.filter(c => c.salesScore > 80);
    const mediumPriority = qualified.filter(c => c.salesScore > 60 && c.salesScore <= 80);

    // Create call schedule optimization
    const schedule = this.optimizeCallSchedule(qualified);
    
    // Determine resource allocation
    const resourceAllocation = this.calculateResourceAllocation(qualified, goals);
    
    // Create follow-up strategies
    const followUpStrategies = this.createFollowUpStrategies(qualified);

    return {
      totalQualified: qualified.length,
      highPriorityContacts: highPriority.length,
      mediumPriorityContacts: mediumPriority.length,
      callSchedule: schedule,
      resourceAllocation: resourceAllocation,
      followUpStrategies: followUpStrategies,
      projectedImprovement: this.calculateProjectedImprovement(qualified, contacts),
      recommendedAgents: this.recommendAgentAssignments(qualified)
    };
  }

  optimizeCallSchedule(contacts) {
    // Group by optimal call times and priorities
    const schedule = {};
    
    contacts.forEach(contact => {
      const hour = contact.optimalCallTime ? new Date(contact.optimalCallTime).getHours() : 14;
      const timeSlot = `${hour}:00`;
      
      if (!schedule[timeSlot]) {
        schedule[timeSlot] = [];
      }
      
      schedule[timeSlot].push(contact);
    });

    // Sort each time slot by priority
    Object.keys(schedule).forEach(timeSlot => {
      schedule[timeSlot].sort((a, b) => b.salesScore - a.salesScore);
    });

    return schedule;
  }

  calculateProjectedImprovement(qualified, total) {
    const baseConnectionRate = 0.25; // 25% baseline
    const avgScore = qualified.reduce((sum, c) => sum + c.salesScore, 0) / qualified.length;
    
    // Estimate improvement based on qualification score
    const improvementFactor = (avgScore - 50) / 50; // 50 is baseline score
    const projectedRate = baseConnectionRate * (1 + improvementFactor);
    
    return {
      baselineConnectionRate: (baseConnectionRate * 100).toFixed(1) + '%',
      projectedConnectionRate: (projectedRate * 100).toFixed(1) + '%',
      expectedImprovement: (((projectedRate - baseConnectionRate) / baseConnectionRate) * 100).toFixed(1) + '%',
      qualificationRate: ((qualified.length / total.length) * 100).toFixed(1) + '%'
    };
  }
}