cold-email-outreach

Installation
SKILL.md

Cold Email & Outreach

Design, optimize, and scale cold email outreach with high deliverability and compliance.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/cold-email-outreach ~/.claude/skills/

Deliverability Fundamentals

Authentication (Required)

Record Purpose Check
SPF Authorizes sending servers dig TXT domain.com
DKIM Cryptographic message signing DKIM selector lookup
DMARC Policy for failed auth dig TXT _dmarc.domain.com

Domain Warming

New domains or IPs need gradual volume ramp:

Week Daily Volume Notes
1 5-10 Known contacts only
2 15-25 Mix of known and new
3 30-50 Monitor bounce/spam rates
4 50-100 Scale if rates healthy
5+ 100-200 Max per domain/day

Dedicated sending domain: Use a subdomain (outreach.company.com) to protect your primary domain reputation.

Health Benchmarks

Metric Healthy Warning Critical
Bounce rate <2% 2-5% >5%
Spam complaint <0.1% 0.1-0.3% >0.3%
Open rate >40% 20-40% <20%
Reply rate >5% 2-5% <2%

Sequence Design

Optimal Sequence Structure

Email 1 (Day 0)  — Value-first introduction
Email 2 (Day 3)  — Follow-up with new angle
Email 3 (Day 7)  — Social proof / case study
Email 4 (Day 14) — Breakup email (last attempt)

Timing

  • Best send days: Tuesday, Wednesday, Thursday
  • Best send times: 8-10am recipient timezone
  • Avoid: Monday morning, Friday afternoon, weekends
  • Follow-up spacing: 3-5 days between emails (never daily)

Subject Line Formulas

Formula Example Open Rate
Question "Quick question about [company] growth?" High
Mutual connection "Saw your talk at [event]" Very high
Specific result "[Company] could save $40K/year on [X]" High
Curiosity "Idea for [specific initiative]" Medium-high
Direct "15-min call about [pain point]?" Medium

Rules: Under 50 characters. No ALL CAPS. No spam triggers (free, guarantee, act now). Personalized > generic.

Email Body Framework

Line 1: Personalized opener (research-based, NOT "I hope this finds you well")
Line 2-3: Pain point or observation specific to them
Line 4-5: How you solve it (one sentence, with social proof)
Line 6: Low-friction CTA (question, not demand)

Length: 50-125 words. 3-5 sentences max. Mobile-readable.

Personalization Tiers

Tier Effort When Example
Researched High (5+ min/email) Top 50 accounts Reference specific blog post, recent funding, or LinkedIn activity
Templated Medium (1 min) Mid-tier prospects Company name, industry pain point, role-specific angle
Dynamic Low (automated) Scale outreach First name, company name, industry via merge fields

Compliance

CAN-SPAM (US)

  • Clear sender identity (real name and company)
  • Accurate subject line (not misleading)
  • Physical mailing address in footer
  • Unsubscribe mechanism (honor within 10 days)
  • Mark as advertisement if applicable

GDPR (EU/UK)

  • Legitimate interest basis for B2B cold email (document it)
  • Clear identity and purpose in first email
  • Easy opt-out mechanism
  • Do not email personal email addresses without consent
  • Data retention policy for prospect data

Best Practices

  • Always include unsubscribe link
  • Respect opt-outs immediately (automated)
  • Never buy email lists
  • Verify emails before sending (reduce bounces)
  • Keep records of consent and opt-outs

Anti-Patterns

  1. Mass blasting — sending same email to 1000+ at once kills deliverability
  2. No personalization — "Dear Sir/Madam" or obviously templated
  3. Feature dumping — listing product features instead of addressing pain
  4. Aggressive follow-ups — daily follow-ups = spam reports
  5. No unsubscribe — illegal under CAN-SPAM and GDPR
  6. Misleading subjects — "Re:" or "Fwd:" on first contact
  7. Too many links/images — triggers spam filters
  8. No domain warming — sending 500 emails day 1 from new domain

Integration with Other Skills

  • copywriting-frameworks — Apply PAS, BAB, QUEST to cold email copy
  • icp-research — Define ideal customer profile before building prospect lists
  • email-composer — General email writing (cold-email-outreach is specifically for outbound sequences)
  • klaviyo-analyst — For marketing automation email (different from cold outreach)
Related skills

More from thatrebeccarae/claude-marketing

Installs
11
GitHub Stars
27
First Seen
Apr 8, 2026