klaviyo-data-handling

Implement Klaviyo PII handling, data retention, and GDPR/CCPA compliance patterns. Use when handling sensitive data, implementing data redaction, configuring retention policies, or ensuring compliance with privacy regulations for Klaviyo integrations. Trigger with phrases like "klaviyo data", "klaviyo PII", "klaviyo GDPR", "klaviyo data retention", "klaviyo privacy", "klaviyo CCPA".

claude-code
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klaviyo-pack Plugin
saas packs Category

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klaviyo-pack

Claude Code skill pack for Klaviyo (24 skills)

saas packs v1.0.0
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Installation

This skill is included in the klaviyo-pack plugin:

/plugin install klaviyo-pack@claude-code-plugins-plus

Click to copy

Instructions

Klaviyo Data Handling

Overview

Handle sensitive data correctly when integrating with Klaviyo.

Prerequisites

  • Understanding of GDPR/CCPA requirements
  • Klaviyo SDK with data export capabilities
  • Database for audit logging
  • Scheduled job infrastructure for cleanup

Data Classification

Category Examples Handling
PII Email, name, phone Encrypt, minimize
Sensitive API keys, tokens Never log, rotate
Business Usage metrics Aggregate when possible
Public Product names Standard handling

PII Detection


const PII_PATTERNS = [
  { type: 'email', regex: /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/g },
  { type: 'phone', regex: /\b\d{3}[-.]?\d{3}[-.]?\d{4}\b/g },
  { type: 'ssn', regex: /\b\d{3}-\d{2}-\d{4}\b/g },
  { type: 'credit_card', regex: /\b\d{4}[- ]?\d{4}[- ]?\d{4}[- ]?\d{4}\b/g },
];

function detectPII(text: string): { type: string; match: string }[] {
  const findings: { type: string; match: string }[] = [];

  for (const pattern of PII_PATTERNS) {
    const matches = text.matchAll(pattern.regex);
    for (const match of matches) {
      findings.push({ type: pattern.type, match: match[0] });
    }
  }

  return findings;
}

Data Redaction


function redactPII(data: Record<string, any>): Record<string, any> {
  const sensitiveFields = ['email', 'phone', 'ssn', 'password', 'apiKey'];
  const redacted = { ...data };

  for (const field of sensitiveFields) {
    if (redacted[field]) {
      redacted[field] = '[REDACTED]';
    }
  }

  return redacted;
}

// Use in logging
console.log('Klaviyo request:', redactPII(requestData));

Data Retention Policy

Retention Periods

Data Type Retention Reason
API logs 30 days Debugging
Error logs 90 days Root cause analysis
Audit logs 7 years Compliance
PII Until deletion request GDPR/CCPA

Automatic Cleanup


async function cleanupKlaviyoData(retentionDays: number): Promise<void> {
  const cutoff = new Date();
  cutoff.setDate(cutoff.getDate() - retentionDays);

  await db.klaviyoLogs.deleteMany({
    createdAt: { $lt: cutoff },
    type: { $nin: ['audit', 'compliance'] },
  });
}

// Schedule daily cleanup
cron.schedule('0 3 * * *', () => cleanupKlaviyoData(30));

GDPR/CCPA Compliance

Data Subject Access Request (DSAR)


async function exportUserData(userId: string): Promise<DataExport> {
  const klaviyoData = await klaviyoClient.getUserData(userId);

  return {
    source: 'Klaviyo',
    exportedAt: new Date().toISOString(),
    data: {
      profile: klaviyoData.profile,
      activities: klaviyoData.activities,
      // Include all user-related data
    },
  };
}

Right to Deletion


async function deleteUserData(userId: string): Promise<DeletionResult> {
  // 1. Delete from Klaviyo
  await klaviyoClient.deleteUser(userId);

  // 2. Delete local copies
  await db.klaviyoUserCache.deleteMany({ userId });

  // 3. Audit log (required to keep)
  await auditLog.record({
    action: 'GDPR_DELETION',
    userId,
    service: 'klaviyo',
    timestamp: new Date(),
  });

  return { success: true, deletedAt: new Date() };
}

Data Minimization


// Only request needed fields
const user = await klaviyoClient.getUser(userId, {
  fields: ['id', 'name'], // Not email, phone, address
});

// Don't store unnecessary data
const cacheData = {
  id: user.id,
  name: user.name,
  // Omit sensitive fields
};

Instructions

Step 1: Classify Data

Categorize all Klaviyo data by sensitivity level.

Step 2: Implement PII Detection

Add regex patterns to detect sensitive data in logs.

Step 3: Configure Redaction

Apply redaction to sensitive fields before logging.

Step 4: Set Up Retention

Configure automatic cleanup with appropriate retention periods.

Output

  • Data classification documented
  • PII detection implemented
  • Redaction in logging active
  • Retention policy enforced

Error Handling

Issue Cause Solution
PII in logs Missing redaction Wrap logging with redact
Deletion failed Data locked Check dependencies
Export incomplete Timeout Increase batch size
Audit gap Missing entries Review log pipeline

Examples

Quick PII Scan


const findings = detectPII(JSON.stringify(userData));
if (findings.length > 0) {
  console.warn(`PII detected: ${findings.map(f => f.type).join(', ')}`);
}

Redact Before Logging


const safeData = redactPII(apiResponse);
logger.info('Klaviyo response:', safeData);

GDPR Data Export


const userExport = await exportUserData('user-123');
await sendToUser(userExport);

Resources

Next Steps

For enterprise access control, see klaviyo-enterprise-rbac.

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