data-analysis.ts 2.9 KB

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  1. // Data Analysis Report
  2. export const DATA_ANALYSIS_MD = String.raw`
  3. # Q4 2024 Business Analytics Report
  4. *Executive Summary • Generated on January 15, 2025*
  5. ## 📊 Key Performance Indicators
  6. ${'```'}
  7. Daily Active Users (DAU): 1.2M (+65% YoY)
  8. Monthly Active Users (MAU): 4.5M (+48% YoY)
  9. User Retention (Day 30): 68% (+12pp YoY)
  10. Average Session Duration: 24min (+35% YoY)
  11. ${'```'}
  12. ## 🎯 Product Performance
  13. ### Feature Adoption Rates
  14. 1. **AI Assistant**: 78% of users (↑ from 45%)
  15. 2. **Collaboration Tools**: 62% of users (↑ from 38%)
  16. 3. **Analytics Dashboard**: 54% of users (↑ from 31%)
  17. 4. **Mobile App**: 41% of users (↑ from 22%)
  18. ### Customer Satisfaction
  19. | Metric | Q4 2024 | Q3 2024 | Change |
  20. |--------|---------|---------|--------|
  21. | **NPS Score** | 72 | 68 | +4 |
  22. | **CSAT** | 4.6/5 | 4.4/5 | +0.2 |
  23. | **Support Tickets** | 2,340 | 2,890 | -19% |
  24. | **Resolution Time** | 4.2h | 5.1h | -18% |
  25. ## 💰 Revenue Metrics
  26. ### Monthly Recurring Revenue (MRR)
  27. - **Current MRR**: $2.8M (+42% YoY)
  28. - **New MRR**: $340K
  29. - **Expansion MRR**: $180K
  30. - **Churned MRR**: $95K
  31. - **Net New MRR**: $425K
  32. ### Customer Acquisition
  33. ${'```'}
  34. Cost per Acquisition (CAC): $127 (-23% YoY)
  35. Customer Lifetime Value: $1,840 (+31% YoY)
  36. LTV:CAC Ratio: 14.5:1
  37. Payback Period: 3.2 months
  38. ${'```'}
  39. ## 🌍 Geographic Performance
  40. ### Revenue by Region
  41. 1. **North America**: 45% ($1.26M)
  42. 2. **Europe**: 32% ($896K)
  43. 3. **Asia-Pacific**: 18% ($504K)
  44. 4. **Other**: 5% ($140K)
  45. ### Growth Opportunities
  46. - **APAC**: 89% YoY growth potential
  47. - **Latin America**: Emerging market entry
  48. - **Middle East**: Enterprise expansion
  49. ## 📱 Channel Performance
  50. ### Traffic Sources
  51. | Channel | Sessions | Conversion | Revenue |
  52. |---------|----------|------------|---------|
  53. | **Organic Search** | 45% | 3.2% | $1.1M |
  54. | **Direct** | 28% | 4.1% | $850K |
  55. | **Social Media** | 15% | 2.8% | $420K |
  56. | **Paid Ads** | 12% | 5.5% | $430K |
  57. ### Marketing ROI
  58. - **Content Marketing**: 340% ROI
  59. - **Email Campaigns**: 280% ROI
  60. - **Social Media**: 190% ROI
  61. - **Paid Search**: 220% ROI
  62. ## 🔍 User Behavior Analysis
  63. ### Session Patterns
  64. - **Peak Hours**: 9-11 AM, 2-4 PM EST
  65. - **Mobile Usage**: 67% of sessions
  66. - **Average Pages/Session**: 4.8
  67. - **Bounce Rate**: 23% (↓ from 31%)
  68. ### Feature Usage Heatmap
  69. Most used features in order:
  70. 1. Dashboard (89% of users)
  71. 2. Search (76% of users)
  72. 3. Reports (64% of users)
  73. 4. Settings (45% of users)
  74. 5. Integrations (32% of users)
  75. ## 💡 Recommendations
  76. 1. **Invest** in AI capabilities (+$2M budget)
  77. 2. **Expand** sales team in APAC region
  78. 3. **Improve** onboarding to reduce churn
  79. 4. **Launch** enterprise security features
  80. ## Appendix
  81. ### Methodology
  82. Data collected from:
  83. - Internal analytics (Amplitude)
  84. - Customer surveys (n=2,450)
  85. - Financial systems (NetSuite)
  86. - Market research (Gartner)
  87. ---
  88. *Report prepared by Data Analytics Team • [View Interactive Dashboard](https://analytics.example.com)*
  89. `;