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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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.
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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.
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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.
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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.
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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.
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