home / skills / madappgang / claude-code / campaign-metrics
This skill helps you optimize cold email campaigns by analyzing KPIs, benchmarks, and diagnostic patterns to improve engagement and deliverability.
npx playbooks add skill madappgang/claude-code --skill campaign-metricsReview the files below or copy the command above to add this skill to your agents.
---
name: campaign-metrics
version: 1.0.0
description: Cold email campaign KPIs, benchmarks, and diagnostic patterns
---
plugin: instantly
updated: 2026-01-20
# Campaign Metrics
## Core KPIs
### Primary Metrics
| Metric | Formula | Benchmark (Cold Email) |
|--------|---------|------------------------|
| Open Rate | (Opened / Sent) * 100 | 40-50% (good), 25-40% (average) |
| Reply Rate | (Replied / Sent) * 100 | 5-10% (good), 2-5% (average) |
| Positive Reply Rate | (Positive / Replied) * 100 | 25-40% (good) |
| Bounce Rate | (Bounced / Sent) * 100 | <2% (healthy) |
| Unsubscribe Rate | (Unsubscribed / Sent) * 100 | <0.5% (healthy) |
### Secondary Metrics
| Metric | Formula | Use Case |
|--------|---------|----------|
| Emails per Lead | Total Sent / Unique Leads | Sequence effectiveness |
| Reply by Step | Replies per step / Sent per step | Identify best-performing emails |
| Time to Reply | Avg time between send and reply | Timing optimization |
## Benchmark Reference
### Industry Benchmarks by Vertical
| Vertical | Open Rate | Reply Rate | Notes |
|----------|-----------|------------|-------|
| SaaS | 45-55% | 5-12% | Higher engagement |
| Agency | 35-45% | 3-7% | Competitive space |
| E-commerce | 30-40% | 2-5% | Volume-focused |
| Financial Services | 25-35% | 2-4% | Compliance-heavy |
### Performance Tiers
```
EXCELLENT (Top 10%)
Open Rate: >50%
Reply Rate: >10%
Bounce Rate: <1%
GOOD (Top 25%)
Open Rate: 40-50%
Reply Rate: 5-10%
Bounce Rate: 1-2%
AVERAGE (Middle 50%)
Open Rate: 25-40%
Reply Rate: 2-5%
Bounce Rate: 2-5%
POOR (Bottom 25%)
Open Rate: 15-25%
Reply Rate: 1-2%
Bounce Rate: 5-10%
CRITICAL (Bottom 10%)
Open Rate: <15%
Reply Rate: <1%
Bounce Rate: >10%
```
## Diagnostic Patterns
### Pattern Matrix
| Open Rate | Reply Rate | Diagnosis | Action |
|-----------|------------|-----------|--------|
| Low (<25%) | Any | Subject line issue | A/B test subjects |
| High (>40%) | Low (<2%) | Body copy issue | Rewrite email body |
| High | High | Winning combo | Scale and replicate |
| Declining | Stable | Fatigue setting in | Refresh creative |
| Any | Any + High Bounce | List quality issue | Verify emails |
### Time-Based Analysis
| Pattern | Meaning | Action |
|---------|---------|--------|
| Monday spike | Inbox cleared over weekend | Send Sun night or Mon early |
| Friday drop | Weekend mindset | Avoid Fri afternoon sends |
| Steady decline | Audience exhaustion | Rotate lists or refresh copy |
| Random spikes | External event correlation | Analyze and replicate |
## Score Calculation
### Campaign Health Score (0-100)
```
health_score = (
open_score * 0.25 +
reply_score * 0.35 +
deliverability_score * 0.25 +
trend_score * 0.15
)
```
**Component Calculations:**
```
open_score = normalize(open_rate, min=0, max=60)
60%+ open = 100 points
40% open = 67 points
20% open = 33 points
0% open = 0 points
reply_score = normalize(reply_rate, min=0, max=15)
15%+ reply = 100 points
10% reply = 67 points
5% reply = 33 points
0% reply = 0 points
deliverability_score = 100 - (bounce_rate * 10)
0% bounce = 100 points
5% bounce = 50 points
10% bounce = 0 points
trend_score = based on week-over-week change
+10% improvement = 100 points
Stable = 50 points
-10% decline = 0 points
```
### Score Interpretation
| Score | Rating | Action Required |
|-------|--------|-----------------|
| 90-100 | Excellent | Maintain, scale if possible |
| 75-89 | Good | Minor optimizations |
| 60-74 | Average | Address weak areas |
| 40-59 | Poor | Major revision needed |
| 0-39 | Critical | Pause and fix immediately |
This skill provides cold email campaign KPIs, benchmarks, and diagnostic patterns to evaluate and optimize deliverability and engagement. It translates raw sends into actionable insights, a campaign health score, and clear remediation steps. Use it to prioritize fixes and scale winning sequences.
The skill calculates primary metrics (open, reply, positive reply, bounce, unsubscribe) and secondary metrics (emails per lead, reply by step, time to reply). It compares results to industry and performance-tier benchmarks, runs diagnostic pattern checks, and produces a campaign health score based on weighted components (open, reply, deliverability, trend). It outputs targeted actions when performance deviates from expected ranges.
What benchmarks should I use for reply rate?
Use 5-10% as a good benchmark for cold email; 2-5% is average. Adjust expectations by vertical: SaaS tends to be higher, financial services lower.
When should I pause a campaign?
Pause immediately if bounce rate exceeds ~10% or if the campaign health score falls into the Critical tier (0-39) while deliverability issues persist.