conversion-waterfall
# Conversion Waterfall
## Metadata
- **Name**: conversion-waterfall
- **Description**: Customer funnel analysis and conversion tracking
- **Triggers**: conversion, funnel, drop-off, customer journey
## Instructions
Analyze conversion rates at each stage of the customer journey for $ARGUMENTS.
## Framework
### The Funnel Structure
```
┌─────────────────────────────────┐
│ AWARENESS │ 100,000 visitors
│ 100% │
├─────────────────────────────────┤
│ INTEREST │ 50,000 engaged
│ 50% │ ← 50% drop-off
├─────────────────────────────────┤
│ CONSIDERATION │ 20,000 qualified
│ 20% │ ← 60% drop-off
├─────────────────────────────────┤
│ INTENT │ 8,000 trials
│ 8% │ ← 60% drop-off
├─────────────────────────────────┤
│ PURCHASE │ 2,000 customers
│ 2% │ ← 75% drop-off
└─────────────────────────────────┘
```
## Output
```
## Conversion Waterfall: [Product/Service]
### Funnel Metrics
| Stage | Volume | Conversion Rate | Drop-off | Value |
|-------|--------|-----------------|----------|-------|
| Awareness | 100,000 | 100% | - | - |
| Interest | 50,000 | 50% | 50,000 | $0 |
| Consideration | 20,000 | 40% | 30,000 | $0 |
| Intent | 8,000 | 40% | 12,000 | $0 |
| Purchase | 2,000 | 25% | 6,000 | $200K |
### Key Findings
**Largest Drop-off**: Consideration → Intent (60% loss)
- Root cause: [Analysis]
- Opportunity: [Potential improvement]
**Best Conversion**: Awareness → Interest (50%)
- Driver: [What's working]
### Recommendations
1. **[Priority 1]**: Address [stage] drop-off
2. **[Priority 2]**: Improve [stage] conversion
```
## Tips
- Focus on largest drop-offs first
- Quantify revenue impact of improvements
- Compare to industry benchmarks
- Test changes incrementally
标签
skill
ai