Cold email and outreach sequence design with personalization, deliverability optimization, follow-up cadence, and compliance (CAN-SPAM/GDPR). Use when the user asks about cold email, outreach sequences, email prospecting, cold outreach, or email deliverability for outbound.
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실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Design, optimize, and scale cold email outreach with high deliverability and compliance.
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/cold-email-outreach ~/.claude/skills/
| 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 |
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.
| 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% |
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)
| 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.
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.
| 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 |
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A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
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Google and Meta paid media account structure evaluation. Audits campaign/ad set architecture against conversion volume minimums, budget thresholds, and targeting overlap. Identifies over-segmentation, under-segmentation, budget fragmentation, and structural anti-patterns blocking algorithmic learning. Provides consolidation roadmaps with migration plans. Use when inheriting accounts, quarterly health checks, or before scaling budgets.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) specialist. Optimize content and websites to appear in AI-generated answers from ChatGPT, Perplexity, Claude, Google AI Overviews, and other LLM-powered search experiences. Use when the user asks about AI search optimization, AEO, GEO, AI Overviews, appearing in AI answers, LLM citations, or optimizing for generative search.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Extract brand identity from a website URL — voice, colors, typography, imagery, values, and target audience — into a structured brand-profile.json. The profile feeds downstream skills (seo-content-writer, email-composer, frontend-design, pro-deck-builder, cross-platform-audit) for brand-consistent output. Use when the user says brand DNA, brand profile, extract brand, analyze brand, brand voice, brand identity, brand colors, or brand style guide.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Develop brand voice, tone matrices, messaging frameworks, and brand book documentation. Use when the user asks about brand voice, tone of voice, brand guidelines, messaging framework, or brand consistency.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Braze customer engagement platform expertise. Audit campaigns, Canvases, segments, messaging channels, and data architecture. Use when the user asks about Braze, customer engagement, push notifications, in-app messaging, cross-channel orchestration, or lifecycle marketing at scale.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.