Mi flujo de trabajo 2

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  "name": "My workflow 2",
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      "name": "Revenue Optimization",
      "createdAt": "2025-07-25T16:24:30.370Z",
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      "name": "Simple RAG",
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        "jsCode": "// Brand Mention Detector - Identifies brand mentions and sponsored content\nconst inputData = $input.all()[0].json;\nconst posts = inputData.analyzed_posts || [];\nconst profile = inputData.profile || {};\n\n// Define brand keywords to monitor\nconst brandKeywords = [\n  'nike', 'adidas', 'coca-cola', 'pepsi', 'apple', 'samsung',\n  'sponsored', '#ad', '#sponsored', '#partnership', '#collab'\n];\n\nfunction detectBrandMentions(posts) {\n  return posts.map(post => {\n    const caption = (post.caption || '').toLowerCase();\n    const hashtags = (post.hashtags || []).map(tag => tag.toLowerCase());\n    const mentions = post.mentions || [];\n    \n    // Detect brand mentions in caption\n    const brandMentionsInCaption = brandKeywords.filter(brand => \n      caption.includes(brand.toLowerCase())\n    );\n    \n    // Detect sponsored content indicators\n    const sponsoredIndicators = ['#ad', '#sponsored', '#partnership', '#collab'];\n    const isSponsored = sponsoredIndicators.some(indicator => \n      caption.includes(indicator) || hashtags.includes(indicator)\n    );\n    \n    // Extract mentioned brands from @ mentions\n    const mentionedBrands = mentions.filter(mention => \n      brandKeywords.some(brand => mention.toLowerCase().includes(brand))\n    );\n    \n    return {\n      ...post,\n      brand_mentions: brandMentionsInCaption,\n      mentioned_brands: mentionedBrands,\n      is_sponsored_content: isSponsored,\n      brand_mention_count: brandMentionsInCaption.length + mentionedBrands.length\n    };\n  });\n}\n\nconst postsWithBrands = detectBrandMentions(posts);\nconst sponsoredPosts = postsWithBrands.filter(post => post.is_sponsored_content);\nconst totalBrandMentions = postsWithBrands.reduce((sum, post) => sum + post.brand_mention_count, 0);\n\nreturn [{\n  json: {\n    profile,\n    analyzed_posts: postsWithBrands,\n    brand_analytics: {\n      total_brand_mentions: totalBrandMentions,\n      sponsored_posts_count: sponsoredPosts.length,\n      sponsored_content_ratio: posts.length > 0 ? (sponsoredPosts.length / posts.length * 100).toFixed(1) + '%' : '0%',\n      top_mentioned_brands: [...new Set(postsWithBrands.flatMap(post => post.brand_mentions))],\n      detection_date: new Date().toISOString()\n    }\n  }\n}];"
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        "jsCode": "// Campaign Performance Tracker - Tracks campaign metrics and KPIs\nconst inputData = $input.all()[0].json;\nconst posts = inputData.analyzed_posts || [];\nconst profile = inputData.profile || {};\nconst brandAnalytics = inputData.brand_analytics || {};\n\nfunction trackCampaignPerformance(posts, profile) {\n  const sponsoredPosts = posts.filter(post => post.is_sponsored_content);\n  \n  // Calculate campaign metrics\n  const totalReach = parseInt(profile.followers?.replace(/[^0-9]/g, '') || '0');\n  const totalEngagement = posts.reduce((sum, post) => {\n    const likes = parseInt(post.likes?.replace(/[^0-9]/g, '') || '0');\n    const comments = parseInt(post.comments?.replace(/[^0-9]/g, '') || '0');\n    return sum + likes + comments;\n  }, 0);\n  \n  const sponsoredEngagement = sponsoredPosts.reduce((sum, post) => {\n    const likes = parseInt(post.likes?.replace(/[^0-9]/g, '') || '0');\n    const comments = parseInt(post.comments?.replace(/[^0-9]/g, '') || '0');\n    return sum + likes + comments;\n  }, 0);\n  \n  // Performance metrics\n  const avgEngagementPerPost = posts.length > 0 ? (totalEngagement / posts.length).toFixed(0) : 0;\n  const sponsoredAvgEngagement = sponsoredPosts.length > 0 ? (sponsoredEngagement / sponsoredPosts.length).toFixed(0) : 0;\n  const engagementRate = totalReach > 0 ? (totalEngagement / totalReach * 100).toFixed(2) : 0;\n  \n  // Campaign performance score (0-100)\n  const performanceScore = Math.min(\n    (parseFloat(engagementRate) * 10) + \n    (sponsoredPosts.length * 5) + \n    (brandAnalytics.total_brand_mentions * 2), \n    100\n  ).toFixed(1);\n  \n  return {\n    campaign_metrics: {\n      total_posts: posts.length,\n      sponsored_posts: sponsoredPosts.length,\n      total_reach: totalReach.toLocaleString(),\n      total_engagement: totalEngagement.toLocaleString(),\n      avg_engagement_per_post: avgEngagementPerPost,\n      sponsored_avg_engagement: sponsoredAvgEngagement,\n      overall_engagement_rate: `${engagementRate}%`,\n      campaign_performance_score: performanceScore\n    },\n    top_performing_campaigns: sponsoredPosts\n      .sort((a, b) => parseInt(b.likes) - parseInt(a.likes))\n      .slice(0, 3)\n      .map(post => ({\n        post_url: post.post_url,\n        brand_mentions: post.brand_mentions,\n        engagement: `${post.likes} likes, ${post.comments} comments`,\n        performance_tier: post.performance_tier\n      }))\n  };\n}\n\nconst campaignData = trackCampaignPerformance(posts, profile);\n\nreturn [{\n  json: {\n    profile,\n    analyzed_posts: posts,\n    brand_analytics: brandAnalytics,\n    ...campaignData,\n    tracking_date: new Date().toISOString()\n  }\n}];"
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        "jsCode": "// Marketing ROI Calculator - Calculates return on investment for campaigns\nconst inputData = $input.all()[0].json;\nconst campaignMetrics = inputData.campaign_metrics || {};\nconst profile = inputData.profile || {};\nconst sponsoredPosts = inputData.analyzed_posts?.filter(post => post.is_sponsored_content) || [];\n\n// Estimated costs and values (these would typically come from your campaign data)\nconst estimatedCosts = {\n  cost_per_sponsored_post: 500, // Average cost per sponsored post\n  campaign_management_cost: 200, // Monthly management cost\n  content_creation_cost: 100 // Per post content creation\n};\n\nfunction calculateROI(metrics, posts, costs) {\n  // Calculate total investment\n  const totalSponsoredPosts = parseInt(metrics.sponsored_posts || 0);\n  const contentCosts = totalSponsoredPosts * costs.cost_per_sponsored_post;\n  const managementCosts = costs.campaign_management_cost;\n  const creationCosts = totalSponsoredPosts * costs.content_creation_cost;\n  const totalInvestment = contentCosts + managementCosts + creationCosts;\n  \n  // Calculate estimated value/return\n  const totalEngagement = parseInt(metrics.total_engagement?.replace(/[^0-9]/g, '') || '0');\n  const reach = parseInt(metrics.total_reach?.replace(/[^0-9]/g, '') || '0');\n  \n  // Estimated value calculations\n  const valuePerEngagement = 0.05; // $0.05 per engagement\n  const valuePerReach = 0.001; // $0.001 per reach\n  const engagementValue = totalEngagement * valuePerEngagement;\n  const reachValue = reach * valuePerReach;\n  const totalEstimatedValue = engagementValue + reachValue;\n  \n  // ROI calculation\n  const roi = totalInvestment > 0 ? ((totalEstimatedValue - totalInvestment) / totalInvestment * 100).toFixed(1) : 0;\n  const costPerEngagement = totalEngagement > 0 ? (totalInvestment / totalEngagement).toFixed(2) : 0;\n  const costPerReach = reach > 0 ? (totalInvestment / reach * 1000).toFixed(2) : 0; // CPM\n  \n  return {\n    roi_analysis: {\n      total_investment: `$${totalInvestment.toLocaleString()}`,\n      estimated_value: `$${totalEstimatedValue.toLocaleString()}`,\n      roi_percentage: `${roi}%`,\n      cost_per_engagement: `$${costPerEngagement}`,\n      cost_per_thousand_reach: `$${costPerReach}`,\n      investment_efficiency: roi > 0 ? 'Positive' : 'Needs Optimization',\n      payback_period: roi > 0 ? 'Immediate' : 'Extended'\n    },\n    cost_breakdown: {\n      sponsored_content_costs: `$${contentCosts.toLocaleString()}`,\n      campaign_management_costs: `$${managementCosts.toLocaleString()}`,\n      content_creation_costs: `$${creationCosts.toLocaleString()}`,\n      total_costs: `$${totalInvestment.toLocaleString()}`\n    },\n    recommendations: [\n      roi > 50 ? \"Excellent ROI - Scale up campaigns\" : \n      roi > 0 ? \"Positive ROI - Continue with optimizations\" : \n      \"Negative ROI - Review targeting and content strategy\",\n      totalSponsoredPosts > 0 ? `Focus on top-performing content types` : \"Increase sponsored content volume\",\n      parseFloat(costPerEngagement) > 1 ? \"Optimize for lower cost per engagement\" : \"Good cost efficiency\"\n    ]\n  };\n}\n\nconst roiData = calculateROI(campaignMetrics, sponsoredPosts, estimatedCosts);\n\n// Create final report\nconst finalReport = {\n  influencer_profile: {\n    username: profile.username,\n    followers: profile.followers,\n    verification_status: profile.verified ? 'Verified' : 'Not Verified'\n  },\n  campaign_summary: campaignMetrics,\n  ...roiData,\n  report_generated: new Date().toISOString(),\n  next_review_date: new Date(Date.now() + 7 * 24 * 60 * 60 * 1000).toISOString() // 7 days from now\n};\n\nreturn [{\n  json: finalReport\n}];"
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        "content": "# Step 1: Daily Schedule Trigger ⏰\n\nAutomatically runs the workflow every day at 9:00 AM to monitor influencer campaigns.\n\n## Configuration Options\n- **Frequency**: Daily at 9:00 AM\n- **Timezone**: UTC (adjust as needed)\n- **Weekends**: Included (can be modified)\n\n## Use Cases\n- Daily campaign monitoring\n- Regular performance tracking\n- Automated reporting schedule"
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      "typeVersion": 1
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      "name": "Información del Scraper",
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      "position": [
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        "content": "# Step 2: ScrapeGraphAI - Influencer Profiles 🤖\n\nScrapes influencer social media profiles to extract key data and recent posts.\n\n## What it extracts\n- Profile statistics (followers, posts)\n- Recent post content and engagement\n- Bio information and verification status\n- Post captions, hashtags, and mentions\n\n## Supported Platforms\n- Instagram profiles\n- TikTok accounts\n- YouTube channels"
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        "content": "# Step 3: Content Analyzer 📊\n\nAnalyzes scraped content for engagement metrics and quality scoring.\n\n## Analysis Features\n- **Engagement Rate**: Likes + comments ratio\n- **Content Quality Score**: Based on caption, hashtags\n- **Performance Tiers**: High/Medium/Low classification\n- **Average Metrics**: Across all posts\n\n## Output\n- Detailed post analytics\n- Performance benchmarks\n- Content recommendations"
      },
      "typeVersion": 1
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      "name": "Información del Detector de Marca",
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        "content": "# Step 4: Brand Mention Detector 🏷️\n\nIdentifies brand mentions and sponsored content across influencer posts.\n\n## Detection Capabilities\n- **Brand Keywords**: Nike, Adidas, Apple, etc.\n- **Sponsored Indicators**: #ad, #sponsored, #partnership\n- **@ Mentions**: Brand account mentions\n- **Hashtag Analysis**: Brand-related tags\n\n## Metrics Tracked\n- Total brand mentions\n- Sponsored content ratio\n- Top mentioned brands"
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      "typeVersion": 1
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      "name": "Información del Rastreador de Rendimiento",
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        "content": "# Step 5: Campaign Performance Tracker 📈\n\nTracks and analyzes overall campaign performance metrics.\n\n## Key Metrics\n- **Reach**: Total follower count\n- **Engagement**: Total likes + comments\n- **Campaign Score**: 0-100 performance rating\n- **Top Campaigns**: Best performing sponsored posts\n\n## Performance Analysis\n- Sponsored vs organic content comparison\n- Engagement rate calculations\n- Campaign effectiveness scoring"
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      "name": "Información de la Calculadora de ROI",
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      "parameters": {
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        "content": "# Step 6: Marketing ROI Calculator 💰\n\nCalculates return on investment for influencer marketing campaigns.\n\n## ROI Calculations\n- **Total Investment**: Content + management + creation costs\n- **Estimated Value**: Based on engagement and reach\n- **ROI Percentage**: (Value - Investment) / Investment\n- **Cost Efficiency**: Cost per engagement/reach\n\n## Business Intelligence\n- Investment recommendations\n- Performance optimization suggestions\n- Campaign scaling insights"
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