User Segmentation

🎯 Overview

Transform your growth strategy with precision user segmentation based on comprehensive Web3 behavioral data. zPass enables you to identify, target, and engage high-value users while optimizing marketing spend and improving user experience.

Perfect for: Growth teams, marketing campaigns, user acquisition, personalization engines, loyalty programs

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📊 The Segmentation Challenge

Traditional Web3 Marketing Problems

• 🎯 Poor Targeting: Broad campaigns with low conversion rates

• 💸 Wasted Spend: Marketing budgets lost on low-quality users

• 🤖 Bot Infiltration: Sybil accounts skewing campaign metrics

• 📉 Low Retention: Attracting mercenary users who leave quickly

• 🔍 Limited Insights: No way to identify truly valuable users

The zPass Solution

zPass provides deep user intelligence through:

• Behavioral Segmentation: Group users by on-chain activity patterns

• Value-Based Targeting: Identify high-LTV users before they convert

• Quality Scoring: Distinguish genuine users from bots and farmers

• Cross-Protocol Insights: Understand user preferences across Web3

• Predictive Analytics: Forecast user behavior and lifetime value

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🏗️ Implementation Guide

Step 1: Basic User Segmentation

Start with simple user classification based on zScore ranges:

async function segmentUsers(walletAddresses) {
  const scores = await zpass.batchGetScores(walletAddresses);
  
  const segments = {
    whales: [],
    powerUsers: [],
    regularUsers: [],
    newUsers: [],
    riskUsers: []
  };
  
  scores.forEach(user => {
    if (user.zscore >= 800) {
      segments.whales.push(user);
    } else if (user.zscore >= 600) {
      segments.powerUsers.push(user);
    } else if (user.zscore >= 300) {
      segments.regularUsers.push(user);
    } else if (user.zscore >= 100) {
      segments.newUsers.push(user);
    } else {
      segments.riskUsers.push(user);
    }
  });
  
  return segments;
}

Step 2: Advanced Behavioral Segmentation

Implement sophisticated segmentation based on user behavior patterns:

async function advancedUserSegmentation(walletAddresses) {
  const detailedAnalytics = await zpass.batchGetAnalytics(walletAddresses);
  
  const behavioralSegments = {
    defiNatives: [],
    nftCollectors: [],
    gamefiPlayers: [],
    daoParticipants: [],
    yieldFarmers: [],
    crossChainUsers: [],
    institutionalUsers: []
  };
  
  detailedAnalytics.forEach(user => {
    const profile = analyzeUserProfile(user);
    const primarySegment = getPrimarySegment(profile);
    behavioralSegments[primarySegment].push({
      ...user,
      profile,
      secondarySegments: getSecondarySegments(profile)
    });
  });
  
  return behavioralSegments;
}

function analyzeUserProfile(userAnalytics) {
  const { chainUsage, protocolUsage, transactionPatterns } = userAnalytics;
  
  return {
    defiScore: calculateDefiEngagement(protocolUsage),
    nftScore: calculateNftActivity(transactionPatterns),
    gamefiScore: calculateGamefiEngagement(protocolUsage),
    daoScore: calculateDaoParticipation(userAnalytics),
    crossChainScore: chainUsage.length,
    institutionalScore: calculateInstitutionalIndicators(userAnalytics),
    loyaltyScore: calculateProtocolLoyalty(protocolUsage),
    riskScore: userAnalytics.risk_indicators.length
  };
}

Step 3: Dynamic Targeting Engine

Build a targeting engine that adapts to campaign goals:

class TargetingEngine {
  constructor(zpassClient) {
    this.zpass = zpassClient;
    this.campaigns = new Map();
  }

  async createTargetingCampaign(campaignConfig) {
    const {
      name,
      objective, // 'acquisition', 'retention', 'engagement', 'conversion'
      budget,
      targetSegments,
      exclusionCriteria
    } = campaignConfig;

    // Find eligible users based on criteria
    const eligibleUsers = await this.findEligibleUsers(targetSegments, exclusionCriteria);
    
    // Score and rank users for this campaign
    const rankedUsers = await this.rankUsersForCampaign(eligibleUsers, objective);
    
    // Optimize budget allocation
    const budgetAllocation = this.optimizeBudgetAllocation(rankedUsers, budget);
    
    const campaign = {
      id: generateCampaignId(),
      name,
      objective,
      targetUsers: rankedUsers,
      budgetAllocation,
      createdAt: Date.now(),
      status: 'ready'
    };

    this.campaigns.set(campaign.id, campaign);
    return campaign;
  }

  async rankUsersForCampaign(users, objective) {
    const rankedUsers = [];

    for (const user of users) {
      const campaignScore = await this.calculateCampaignScore(user, objective);
      rankedUsers.push({
        ...user,
        campaignScore,
        expectedROI: campaignScore.expectedROI,
        engagementProbability: campaignScore.engagementProbability
      });
    }

    return rankedUsers.sort((a, b) => b.campaignScore.total - a.campaignScore.total);
  }
}

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🎯 Segmentation Strategies

Value-Based Segmentation

Segment	zScore Range	Characteristics	Marketing Strategy
Whales	800-1000	High-value, loyal users	VIP treatment, exclusive access
Power Users	600-799	Active, engaged users	Premium features, early access
Regular Users	300-599	Steady, reliable users	Standard campaigns, loyalty programs
New Users	100-299	Potential, needs nurturing	Onboarding, education content
Risk Users	0-99	Bots, farmers, low quality	Exclude or minimal spend

Behavioral Segmentation

DeFi Natives

• Profile: Heavy DeFi usage, multiple protocols, sophisticated strategies

• Targeting: Advanced features, yield opportunities, governance participation

• Content: Technical analysis, protocol comparisons, yield strategies

NFT Collectors

• Profile: Active NFT trading, collection building, community participation

• Targeting: Exclusive drops, community events, creator collaborations

• Content: Artist spotlights, market trends, collection guides

GameFi Players

• Profile: Play-to-earn gaming, in-game asset trading, guild participation

• Targeting: New games, tournaments, guild features

• Content: Game guides, earning strategies, community events

DAO Participants

• Profile: Governance voting, proposal creation, community leadership

• Targeting: Governance features, leadership opportunities

• Content: Governance updates, proposal analysis, community building

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📊 Campaign Optimization

Personalization Engine

async function personalizeUserExperience(walletAddress) {
  const userProfile = await zpass.getUserProfile(walletAddress);
  const segmentProfile = await getSegmentProfile(userProfile);
  
  return {
    // UI/UX Personalization
    interface: {
      theme: segmentProfile.preferredTheme,
      layout: segmentProfile.preferredLayout,
      features: getRelevantFeatures(segmentProfile)
    },
    
    // Content Personalization
    content: {
      homepage: getPersonalizedHomepage(segmentProfile),
      recommendations: getPersonalizedRecommendations(userProfile),
      tutorials: getRelevantTutorials(segmentProfile)
    },
    
    // Feature Access
    features: {
      advancedTrading: userProfile.zscore > 500,
      betaFeatures: userProfile.zscore > 700,
      vipSupport: userProfile.zscore > 800
    },
    
    // Incentives
    incentives: {
      welcomeBonus: calculateWelcomeBonus(userProfile),
      loyaltyRewards: calculateLoyaltyRewards(userProfile),
      feeDiscounts: calculateFeeDiscounts(userProfile)
    }
  };
}

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📈 Success Metrics & ROI

Campaign Performance Metrics

Targeting Accuracy

• 3x improvement in conversion rates with zPass segmentation

• 50% reduction in cost per acquisition

• 40% increase in user lifetime value

• 80% reduction in bot/Sybil infiltration

User Engagement

• 60% higher engagement rates for personalized campaigns

• 2x longer session duration for targeted users

• 45% increase in feature adoption

• 35% improvement in user satisfaction scores

Real-World Results

DeFi Protocol Campaign

• Target: High-value DeFi users for new lending product

• Segmentation: zScore 600+, active in 3+ protocols

• Results:

  • 4x higher conversion rate vs. broad campaign

  • $50 cost per acquisition vs. $200 industry average

  • 85% user retention after 3 months

NFT Marketplace Launch

• Target: Active NFT collectors and traders

• Segmentation: NFT activity score >70, recent trading history

• Results:

  • 6x higher engagement rate

  • 3x more transactions per user

  • 70% of users became repeat customers

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🚀 Getting Started

Quick Implementation

1. Set Up zPass - Get your API credentials
2. Analyze Current Users - Segment your existing user base

3. Create Target Segments - Define your ideal user profiles

4. Launch Test Campaign - Start with a small, focused campaign

5. Measure & Optimize - Use data to refine your approach

Best Practices

• Start Simple: Begin with basic zScore segmentation

• Test Everything: A/B test different segments and messages

• Personalize Gradually: Add personalization features incrementally

• Monitor Quality: Track user quality metrics, not just volume

• Iterate Quickly: Use data insights to rapidly improve campaigns

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🤝 Support & Resources

Implementation Support

• 💬 Discord: Join our growth marketing community

• 📧 Email: [email protected]

• 📞 Consultation: Schedule a growth strategy session

Advanced Features

• Custom Segments: Build protocol-specific user segments

• Predictive Models: Forecast user behavior and LTV

• Real-time Personalization: Dynamic content based on user actions

Ready to transform your user acquisition? Start Segmentation →