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KPI tracking, auto-optimization rules, and learning capture for marketing campaigns
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Basé sur la classification professionnelle SOC
UI/UX design intelligence. 67 styles, 96 palettes, 57 font pairings, 25 charts, 13 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
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| name | performance-tracking |
| description | KPI tracking, auto-optimization rules, and learning capture for marketing campaigns |
| Metric | Target | Alert Threshold |
|---|---|---|
| Cold Drink Attach Rate | +25% vs baseline | <10% at 24h |
| Pump Screen Engagement | 12% | <6% |
| App Push Open Rate | 8% | <4% |
| SMS Click Rate | 15% | <8% |
| Metric | Projection Method |
|---|---|
| Incremental Revenue | (Attach Rate Lift) × (Average Basket) × (Impressions) |
| Average Basket Lift | Typically $3.20 per converted customer |
| Cost Per Acquisition | Campaign Cost ÷ Conversions |
Example Calculation:
FOR each variant IN campaign:
IF variant.engagement < segment.baseline × 0.5 THEN
→ Pause variant
→ Reallocate budget to top performer
→ Log learning
IF variant.engagement > segment.baseline × 1.5 THEN
→ Mark as champion
→ Increase budget allocation +20%
| Time | Action |
|---|---|
| 24h | First performance review, pause clear losers |
| 72h | Comprehensive review, budget reallocation |
| Week 1 | A/B test winners against new challengers |
| Week 2 | Final optimization, learning capture |
After each campaign, record:
## Campaign: [Name]
### Date: [Date]
### Context: [Weather/Trigger]
### What Worked
- [Observation 1]
- [Observation 2]
### What Didn't Work
- [Observation 1]
### Key Metrics
- Attach Rate: [X]% (vs [Y]% target)
- Revenue: $[Amount]
- CPA: $[Amount]
### Recommendations for Future
- [Recommendation 1]
- [Recommendation 2]
| Trigger Type | Avg Attach Rate | Avg Revenue |
|---|---|---|
| Heat Wave (>95°F) | 32% | $180K/week |
| Hot Day (90-95°F) | 22% | $120K/week |
| Normal Operations | 15% | $80K/week |
| Temperature | Top Product | Secondary |
|---|---|---|
| >100°F | Electrolyte Water | Fountain Soda |
| 95-100°F | Iced Coffee | Electrolyte Water |
| 90-95°F | Fountain Soda | Iced Coffee |