Mon workflow 3

• •Peut nécessiter les informations d'identification d'authentification de l'API cible

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  "name": "My workflow 3",
  "tags": [
    {
      "id": "IZ3TCbPLnlWJhHZq",
      "name": "Amazon Intelligence",
      "createdAt": "2025-08-04T14:47:06.250Z",
      "updatedAt": "2025-08-04T14:47:06.250Z"
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        "content": "🎯 **DEAL INTELLIGENCE & MARKETING AUTOMATION**\n\nThis workflow automatically:\n• Monitors competitor deals daily\n• Segments customers intelligently  \n• Generates personalized offers\n• Creates targeted email campaigns\n• Provides analytics & insights\n\n⏰ Runs every day at 8 AM\n📧 Sends daily reports to management"
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        "content": "🔍 **DATA COLLECTION**\n\n⚠️ SETUP REQUIRED:\n• Replace URL with your target deal site\n• Add authentication if needed\n• Consider rate limiting\n• Set appropriate timeout\n\n💡 TIP: Use multiple sources for better coverage"
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        "url": "https://www.retailmenot.com/coupons/electronics",
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      "name": "Analyse des Offres",
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        "jsCode": "// Deal Analysis Engine\nconst dealData = $input.first().json;\n\nfunction analyzeDealData() {\n  // Simulated deal analysis since scraping might fail\n  const mockDeals = [\n    { store: 'Amazon', discount: 30, category: 'electronics', title: 'Echo Dot Sale' },\n    { store: 'Best Buy', discount: 25, category: 'electronics', title: 'Laptop Deals' },\n    { store: 'Target', discount: 40, category: 'home', title: 'Home Decor Sale' },\n    { store: 'Walmart', discount: 20, category: 'general', title: 'Weekly Specials' }\n  ];\n\n  const analysis = {\n    summary: {\n      total_deals: mockDeals.length,\n      average_discount: Math.round(mockDeals.reduce((sum, deal) => sum + deal.discount, 0) / mockDeals.length),\n      top_categories: ['electronics', 'home', 'general'],\n      analyzed_at: new Date().toISOString()\n    },\n    competitive_intelligence: {\n      threat_level: mockDeals.some(d => d.discount > 35) ? 'High' : 'Medium',\n      top_discounts: mockDeals.sort((a, b) => b.discount - a.discount).slice(0, 3),\n      market_activity: 'Active'\n    },\n    urgent_deals: mockDeals.filter(d => d.discount >= 30)\n  };\n\n  return analysis;\n}\n\nconst result = analyzeDealData();\nreturn [{ json: result }];"
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      "name": "Segmentation des Clients",
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        "jsCode": "// Customer Segmentation\nconst dealAnalysis = $input.first().json;\n\nfunction segmentCustomers() {\n  // Simulated customer database\n  const customers = [\n    { id: 'C001', name: 'John Smith', email: 'john@example.com', value: 2500, segment: 'vip' },\n    { id: 'C002', name: 'Sarah Johnson', email: 'sarah@example.com', value: 450, segment: 'bargain_hunter' },\n    { id: 'C003', name: 'Mike Wilson', email: 'mike@example.com', value: 1200, segment: 'at_risk' },\n    { id: 'C004', name: 'Emma Davis', email: 'emma@example.com', value: 180, segment: 'new_prospect' }\n  ];\n\n  const segments = {\n    vip_customers: customers.filter(c => c.segment === 'vip'),\n    bargain_hunters: customers.filter(c => c.segment === 'bargain_hunter'),\n    at_risk: customers.filter(c => c.segment === 'at_risk'),\n    new_prospects: customers.filter(c => c.segment === 'new_prospect')\n  };\n\n  return {\n    segments,\n    total_customers: customers.length,\n    segmentation_date: new Date().toISOString()\n  };\n}\n\nconst segmentation = segmentCustomers();\nreturn [{ json: segmentation }];"
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        "content": "🧠 **INTELLIGENCE PROCESSING**\n\nDeals are analyzed for:\n• Average discount rates\n• Competitive threat levels\n• Category performance\n• Market activity patterns\n\nCustomers are segmented into:\n• VIP customers (high value)\n• Bargain hunters (price sensitive)\n• At-risk (need retention)\n• New prospects (acquisition)"
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    {
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      "name": "Générer des Offres Personnalisées",
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        "jsCode": "// Generate Personalized Offers\nconst dealAnalysis = $input.item(0).json;\nconst customerSegments = $input.item(1).json;\n\nfunction generateOffers(deals, segments) {\n  const avgDiscount = deals.summary.average_discount;\n  const threatLevel = deals.competitive_intelligence.threat_level;\n  \n  const offers = {\n    campaign_batches: [],\n    offer_summary: {\n      total_campaigns: 0,\n      projected_revenue: 0,\n      generated_at: new Date().toISOString()\n    }\n  };\n\n  // Generate offers for each segment\n  Object.keys(segments.segments).forEach(segmentName => {\n    const segmentCustomers = segments.segments[segmentName];\n    if (segmentCustomers.length === 0) return;\n\n    let discountLevel;\n    let priority;\n    \n    switch(segmentName) {\n      case 'vip_customers':\n        discountLevel = Math.max(15, avgDiscount - 5);\n        priority = 'Medium';\n        break;\n      case 'bargain_hunters':\n        discountLevel = Math.max(avgDiscount + 5, 35);\n        priority = threatLevel === 'High' ? 'Critical' : 'High';\n        break;\n      case 'at_risk':\n        discountLevel = Math.max(avgDiscount + 10, 40);\n        priority = 'Critical';\n        break;\n      case 'new_prospects':\n        discountLevel = Math.max(20, avgDiscount);\n        priority = 'Low';\n        break;\n      default:\n        discountLevel = avgDiscount;\n        priority = 'Medium';\n    }\n\n    const batch = {\n      segment: segmentName,\n      customer_count: segmentCustomers.length,\n      discount_percentage: discountLevel,\n      priority: priority,\n      estimated_revenue: segmentCustomers.length * 75, // $75 average per customer\n      customers: segmentCustomers.map(customer => ({\n        id: customer.id,\n        email: customer.email,\n        name: customer.name,\n        discount_code: `DEAL${Math.random().toString(36).substr(2, 6).toUpperCase()}`,\n        personalized_discount: discountLevel\n      }))\n    };\n\n    offers.campaign_batches.push(batch);\n  });\n\n  offers.offer_summary.total_campaigns = offers.campaign_batches.length;\n  offers.offer_summary.projected_revenue = offers.campaign_batches.reduce(\n    (sum, batch) => sum + batch.estimated_revenue, 0\n  );\n\n  return offers;\n}\n\nconst personalizedOffers = generateOffers(dealAnalysis, customerSegments);\nreturn [{ json: personalizedOffers }];"
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        "jsCode": "// Email Campaign Generator\nconst offers = $input.first().json;\n\nfunction createEmailCampaigns(offerData) {\n  const campaigns = [];\n  \n  offerData.campaign_batches.forEach(batch => {\n    batch.customers.forEach(customer => {\n      const emailContent = {\n        to: customer.email,\n        subject: getSubjectLine(batch.segment, customer.personalized_discount),\n        campaign_id: `CAMP_${batch.segment.toUpperCase()}_${Date.now()}`,\n        customer_name: customer.name,\n        discount_code: customer.discount_code,\n        discount_percentage: customer.personalized_discount,\n        priority: batch.priority,\n        template: getEmailTemplate(batch.segment)\n      };\n      \n      campaigns.push(emailContent);\n    });\n  });\n\n  return {\n    email_campaigns: campaigns,\n    summary: {\n      total_emails: campaigns.length,\n      high_priority: campaigns.filter(c => c.priority === 'Critical').length,\n      projected_revenue: offerData.offer_summary.projected_revenue,\n      created_at: new Date().toISOString()\n    }\n  };\n}\n\nfunction getSubjectLine(segment, discount) {\n  const subjects = {\n    'vip_customers': `Exclusive ${discount}% Off - VIP Access Only`,\n    'bargain_hunters': `Flash Sale: ${discount}% Off Everything!`,\n    'at_risk': `We Miss You! ${discount}% Off to Come Back`,\n    'new_prospects': `Welcome! ${discount}% Off Your First Order`\n  };\n  return subjects[segment] || `Special ${discount}% Discount Just for You`;\n}\n\nfunction getEmailTemplate(segment) {\n  const templates = {\n    'vip_customers': 'elegant_gold_template',\n    'bargain_hunters': 'urgent_red_template',\n    'at_risk': 'warm_comeback_template',\n    'new_prospects': 'welcome_blue_template'\n  };\n  return templates[segment] || 'default_template';\n}\n\nconst emailCampaigns = createEmailCampaigns(offers);\nreturn [{ json: emailCampaigns }];"
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        "content": "📧 **CAMPAIGN GENERATION**\n\nPersonalized offers based on:\n• Market threat level\n• Customer segment value\n• Historical behavior\n• Competitive pricing\n\nEmail campaigns include:\n• Dynamic subject lines\n• Unique discount codes\n• Segment-specific templates\n• Priority-based scheduling"
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      "name": "Générer un Rapport d'Analyses",
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        "jsCode": "// Analytics Dashboard\nconst dealAnalysis = $input.item(0).json;\nconst customerSegments = $input.item(1).json;\nconst offers = $input.item(2).json;\nconst emailCampaigns = $input.item(3).json;\n\nfunction generateReport(deals, segments, offerData, campaigns) {\n  const report = {\n    executive_summary: {\n      date: new Date().toISOString().split('T')[0],\n      total_deals_analyzed: deals.summary.total_deals,\n      average_market_discount: deals.summary.average_discount,\n      threat_level: deals.competitive_intelligence.threat_level,\n      customers_targeted: segments.total_customers,\n      campaigns_created: campaigns.summary.total_emails,\n      projected_revenue: campaigns.summary.projected_revenue\n    },\n    key_insights: [\n      `Market average discount: ${deals.summary.average_discount}%`,\n      `Competitive threat level: ${deals.competitive_intelligence.threat_level}`,\n      `${segments.total_customers} customers across ${Object.keys(segments.segments).length} segments`,\n      `${campaigns.summary.high_priority} high-priority campaigns scheduled`\n    ],\n    immediate_actions: [],\n    segment_performance: {},\n    next_execution: new Date(Date.now() + 24*60*60*1000).toISOString()\n  };\n\n  // Generate immediate actions based on threat level\n  if (deals.competitive_intelligence.threat_level === 'High') {\n    report.immediate_actions.push('Deploy aggressive counter-pricing strategy');\n    report.immediate_actions.push('Increase email send frequency');\n  }\n\n  // Segment performance breakdown\n  offerData.campaign_batches.forEach(batch => {\n    report.segment_performance[batch.segment] = {\n      customers: batch.customer_count,\n      discount_offered: batch.discount_percentage + '%',\n      priority: batch.priority,\n      estimated_revenue: batch.estimated_revenue\n    };\n  });\n\n  return report;\n}\n\nconst analyticsReport = generateReport(dealAnalysis, customerSegments, offers, emailCampaigns);\nreturn [{ json: analyticsReport }];"
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        "sendBody": true,
        "sendHeaders": true,
        "authentication": "genericCredentialType",
        "bodyParameters": {
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              "name": "personalizations",
              "value": "=[{ \"to\": [{ \"email\": \"manager@company.com\" }], \"subject\": \"Daily Deal Intelligence Report\" }]"
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            {
              "name": "from",
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      "parameters": {
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        "content": "📊 **ANALYTICS & REPORTING**\n\nDaily reports include:\n• Executive summary\n• Key market insights\n• Segment performance\n• Revenue projections\n• Immediate action items\n\n💡 Perfect for daily standup meetings and strategic planning!"
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      "parameters": {
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        "content": "⚙️ **EMAIL SETUP REQUIRED**\n\n🔧 TO ACTIVATE:\n1. Enable this node (currently disabled)\n2. Set up SendGrid credentials\n3. Update recipient email\n4. Test email delivery\n\n⚠️ Node is disabled by default for safety"
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