email-metrics-benchmarks
Skill8 starsChanged 4 months agoMITView on GitHub
Email metrics to track, 2X levers, and structure checklist for cold outreach. Use when analyzing campaign performance, setting benchmarks, or optimizing email metrics.
2 other projects use a version of this, 2 of them edited.
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Most recently taken up by
- Cold-IQ/ColdIQ-s-GTM-Skillsedited, first seen Nov 8, 2026
- sachacoldiq/ColdIQ-s-GTM-Skillsedited, first seen Oct 9, 2026
Other versions2 projects use a version of this.
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- Cold-IQ/ColdIQ-s-GTM-Skills★ 31672% same
- sachacoldiq/ColdIQ-s-GTM-Skills★ 31672% same
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How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository32 other files it gives its agents.
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- cold-email-templates-34Skill
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- personalization-hooksSkill
- personalization-playbooksSkill
- sdr-master-promptsSkill
- sdr-outbound-rulesSkill
The file
Files
Email Metrics & Benchmarks
Email Metrics to Track
2X Levers (Metrics you can realistically double)
| Metric | Current Baseline | Good | Great |
| Cold email reply rate | 0.5-1.0% | 2-3% | 5%+ |
| Email open rate | 20-40% | 50% | 60%+ |
| Email click rate | 2-5% | 5-8% | 10%+ |
Performance by Outreach Type
| Outreach Type | Reply Rate |
| Cold outreach (no signal) | 6-8% |
| Signal-based outreach | 18-22% |
| Multi-signal stacked | 35-40% |
| Website visitor follow-up | 25-30% |
| Champion job change | 20-25% |
Email Structure Checklist
Opening (trigger) + Assumption + Social proof with numbers + Open-ended questionBy Seniority
| Target | Max Sentences | Max Words |
| BTL (Managers, ICs) | 3-4 sentences | 90 words |
| ATL (VPs, C-Level) | 2-3 sentences | 60 words |
Deliverability Benchmarks
| Metric | Target | Warning | Critical |
| Bounce rate | <2% | 2-5% | >5% |
| Spam rate | <0.1% | 0.1-0.3% | >0.3% |
| Unsubscribe rate | <0.5% | 0.5-1% | >1% |
Sequence Performance
Email 1
- Highest open rate
- Sets the tone
- Most important to optimize
Email 2 (Day 3)
- 40-60% of Email 1 opens
- Different angle
- Shorter than Email 1
Email 3 (Day 14)
- New subject line
- Fresh approach
- Delegation ask effective
Email 4 (Break-up)
- Often highest reply rate
- Creates urgency
- Clean exit
Optimization Priorities
If Open Rate Low (<30%)
- Test subject lines
- Check sender reputation
- Verify deliverability
- Test send times
If Reply Rate Low (<2%)
- Improve relevance/personalization
- Shorten message
- Strengthen CTA
- Add social proof
- Test different frameworks
If Meeting Rate Low (<20% of replies)
- Qualify better in message
- Improve CTA clarity
- Reduce friction to book
- Follow up faster
Quick Diagnostics
| Symptom | Likely Cause | Fix |
| Low opens | Subject line or deliverability | A/B test subjects, check spam score |
| Opens but no replies | Message relevance | More personalization, shorter copy |
| Replies but no meetings | Weak CTA or poor qualification | Clearer ask, better targeting |
| High unsubscribe | Too aggressive or wrong ICP | Reduce frequency, refine targeting |
Combines with
| Skill | Why |
cold-email-4-sequence | Understand sequence metrics |
sdr-outbound-rules | Rules that improve metrics |
list-building-tips | Fix deliverability issues |
buying-signals-6 | Improve reply rates with signals |
Example prompts
My reply rate is 0.8% - diagnose and suggest fixes.What benchmarks should I target for a signal-based campaign?My Email 2 has lower opens than Email 1 - is that normal?Part of Frontal — free, open GTM skills for your AI agent. Browse the library →
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