diff options
| author | Mitja Felicijan <mitja.felicijan@gmail.com> | 2026-02-12 20:57:17 +0100 |
|---|---|---|
| committer | Mitja Felicijan <mitja.felicijan@gmail.com> | 2026-02-12 20:57:17 +0100 |
| commit | b333b06772c89d96aacb5490d6a219fba7c09cc6 (patch) | |
| tree | 211df60083a5946baa2ed61d33d8121b7e251b06 /llama.cpp/tools/server/webui/tests/stories/fixtures/data-analysis.ts | |
| download | llmnpc-b333b06772c89d96aacb5490d6a219fba7c09cc6.tar.gz | |
Engage!
Diffstat (limited to 'llama.cpp/tools/server/webui/tests/stories/fixtures/data-analysis.ts')
| -rw-r--r-- | llama.cpp/tools/server/webui/tests/stories/fixtures/data-analysis.ts | 124 |
1 files changed, 124 insertions, 0 deletions
diff --git a/llama.cpp/tools/server/webui/tests/stories/fixtures/data-analysis.ts b/llama.cpp/tools/server/webui/tests/stories/fixtures/data-analysis.ts new file mode 100644 index 0000000..6fec32d --- /dev/null +++ b/llama.cpp/tools/server/webui/tests/stories/fixtures/data-analysis.ts @@ -0,0 +1,124 @@ +// Data Analysis Report +export const DATA_ANALYSIS_MD = String.raw` +# Q4 2024 Business Analytics Report + +*Executive Summary • Generated on January 15, 2025* + +## 📊 Key Performance Indicators + +${'```'} +Daily Active Users (DAU): 1.2M (+65% YoY) +Monthly Active Users (MAU): 4.5M (+48% YoY) +User Retention (Day 30): 68% (+12pp YoY) +Average Session Duration: 24min (+35% YoY) +${'```'} + +## 🎯 Product Performance + +### Feature Adoption Rates + +1. **AI Assistant**: 78% of users (↑ from 45%) +2. **Collaboration Tools**: 62% of users (↑ from 38%) +3. **Analytics Dashboard**: 54% of users (↑ from 31%) +4. **Mobile App**: 41% of users (↑ from 22%) + +### Customer Satisfaction + +| Metric | Q4 2024 | Q3 2024 | Change | +|--------|---------|---------|--------| +| **NPS Score** | 72 | 68 | +4 | +| **CSAT** | 4.6/5 | 4.4/5 | +0.2 | +| **Support Tickets** | 2,340 | 2,890 | -19% | +| **Resolution Time** | 4.2h | 5.1h | -18% | + +## 💰 Revenue Metrics + +### Monthly Recurring Revenue (MRR) + +- **Current MRR**: $2.8M (+42% YoY) +- **New MRR**: $340K +- **Expansion MRR**: $180K +- **Churned MRR**: $95K +- **Net New MRR**: $425K + +### Customer Acquisition + +${'```'} +Cost per Acquisition (CAC): $127 (-23% YoY) +Customer Lifetime Value: $1,840 (+31% YoY) +LTV:CAC Ratio: 14.5:1 +Payback Period: 3.2 months +${'```'} + +## 🌍 Geographic Performance + +### Revenue by Region + +1. **North America**: 45% ($1.26M) +2. **Europe**: 32% ($896K) +3. **Asia-Pacific**: 18% ($504K) +4. **Other**: 5% ($140K) + +### Growth Opportunities + +- **APAC**: 89% YoY growth potential +- **Latin America**: Emerging market entry +- **Middle East**: Enterprise expansion + +## 📱 Channel Performance + +### Traffic Sources + +| Channel | Sessions | Conversion | Revenue | +|---------|----------|------------|---------| +| **Organic Search** | 45% | 3.2% | $1.1M | +| **Direct** | 28% | 4.1% | $850K | +| **Social Media** | 15% | 2.8% | $420K | +| **Paid Ads** | 12% | 5.5% | $430K | + +### Marketing ROI + +- **Content Marketing**: 340% ROI +- **Email Campaigns**: 280% ROI +- **Social Media**: 190% ROI +- **Paid Search**: 220% ROI + +## 🔍 User Behavior Analysis + +### Session Patterns + +- **Peak Hours**: 9-11 AM, 2-4 PM EST +- **Mobile Usage**: 67% of sessions +- **Average Pages/Session**: 4.8 +- **Bounce Rate**: 23% (↓ from 31%) + +### Feature Usage Heatmap + +Most used features in order: +1. Dashboard (89% of users) +2. Search (76% of users) +3. Reports (64% of users) +4. Settings (45% of users) +5. Integrations (32% of users) + +## 💡 Recommendations + +1. **Invest** in AI capabilities (+$2M budget) +2. **Expand** sales team in APAC region +3. **Improve** onboarding to reduce churn +4. **Launch** enterprise security features + +## Appendix + +### Methodology + +Data collected from: +- Internal analytics (Amplitude) +- Customer surveys (n=2,450) +- Financial systems (NetSuite) +- Market research (Gartner) + +--- + +*Report prepared by Data Analytics Team • [View Interactive Dashboard](https://analytics.example.com)* +`; |
