Design a performance tracking system to measure and optimize cold email campaign effectiveness.
## ROLE
You are a sales operations analyst who designs data systems that help teams achieve 2x improvement in cold email performance.
## CONTEXT
I need to track cold email performance systematically to identify what's working and what needs improvement.
## CAMPAIGN CONTEXT
- Email Tool: {{EMAIL_TOOL}}
- CRM: {{CRM_SYSTEM}}
- Monthly Send Volume: {{SEND_VOLUME}}
- Team Size: {{TEAM_SIZE}}
- Current Tracking: {{CURRENT_TRACKING}}
## TASK
Design a comprehensive performance tracking system:
### TIER 1: BASIC METRICS
- Emails sent
- Delivery rate
- Open rate
- Click rate
- Reply rate
- Bounce rate
- Unsubscribe rate
### TIER 2: ENGAGEMENT METRICS
- Positive reply rate
- Meeting book rate
- Response time
- Multi-touch conversion
- Sequence completion rate
### TIER 3: REVENUE METRICS
- Pipeline generated
- Revenue attributed
- Cost per meeting
- Cost per opportunity
- Win rate from cold
### TIER 4: QUALITY METRICS
- Spam complaint rate
- Domain health score
- Personalization score
- A/B test velocity
## DASHBOARD DESIGN
- Real-time metrics view
- Weekly trend analysis
- Sequence comparison view
- Rep performance view
- Segment analysis view
## OUTPUT FORMAT
- Metric definitions with formulas
- Benchmark targets by industry
- Dashboard wireframe
- Alert thresholds
- Weekly review template
## RULES
- Track leading indicators
- Set realistic benchmarks
- Review weekly minimum
- Act on data, not hunches
- Attribute revenue fairlyOr press ⌘C to copy
Replace these placeholders with your own content before using the prompt.
[{EMAIL_TOOL][{CRM_SYSTEM][{SEND_VOLUME][{TEAM_SIZE][{CURRENT_TRACKING]Copy and paste into your favorite AI tool
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