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cold-email-outreach

cold-email-outreach

github.com/thatrebeccaraeMarketing & growth188109 installsUpdated 24w ago
Repository

About cold-email-outreach

A cold-email outreach skill for marketers, covering deliverability, sequence design, and compliance. It provides practical guidance on domain warming, health benchmarks, and personalization tiers.

Key features

  1. 01Email authentication and domain warming
  2. 02Deliverability health benchmarks
  3. 03Sequence and send-time planning
  4. 04Subject line and body frameworks
  5. 05CAN-SPAM and GDPR guidance
  6. 06Prospect personalization tiers

Use cases

  1. 01Plan gradual sending from a new domain
  2. 02Build a multi-step outreach sequence
  3. 03Review email compliance and opt-out practices

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/thatrebeccarae/claude-marketing --skill cold-email-outreach

After installing, type/cold-email-outreachin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

EXAMPLES.md
LICENSE
REFERENCE.md

Details

From the project README

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)
RecordPurposeCheck
SPFAuthorizes sending serversdig TXT domain.com
DKIMCryptographic message signingDKIM selector lookup
DMARCPolicy for failed authdig TXT _dmarc.domain.com
Domain Warming

New domains or IPs need gradual volume ramp:

WeekDaily VolumeNotes
15-10Known contacts only
215-25Mix of known and new
330-50Monitor bounce/spam rates
450-100Scale if rates healthy
5+100-200Max per domain/day

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

Health Benchmarks
MetricHealthyWarningCritical
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
FormulaExampleOpen 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
TierEffortWhenExample
ResearchedHigh (5+ min/email)Top 50 accountsReference specific blog post, recent funding, or LinkedIn activity
TemplatedMedium (1 min)Mid-tier prospectsCompany name, industry pain point, role-specific angle
DynamicLow (automated)Scale outreachFirst 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)

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