cold-email-outreach
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ChineseCold Email & Outreach
冷邮件与陌生开发
Design, optimize, and scale cold email outreach with high deliverability and compliance.
设计、优化并规模化高送达率、合规的冷邮件陌生开发流程。
Install
安装
bash
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/cold-email-outreach ~/.claude/skills/bash
git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/cold-email-outreach ~/.claude/skills/Deliverability Fundamentals
送达率基础
Authentication (Required)
认证（必填）
| Record | Purpose | Check |
|---|---|---|
| SPF | Authorizes sending servers | |
| DKIM | Cryptographic message signing | DKIM selector lookup |
| DMARC | Policy for failed auth | |
| 记录 | 用途 | 检查方式 |
|---|---|---|
| SPF | 授权发送服务器 | |
| DKIM | 加密消息签名 | DKIM 选择器查询 |
| DMARC | 认证失败处理策略 | |
Domain Warming
域名预热
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.
新域名或IP需要逐步提升发送量：
| 周 | 每日发送量 | 说明 |
|---|---|---|
| 1 | 5-10 | 仅发送给已知联系人 |
| 2 | 15-25 | 混合已知联系人和新联系人 |
| 3 | 30-50 | 监控退信/垃圾邮件率 |
| 4 | 50-100 | 若指标健康则扩大规模 |
| 5+ | 100-200 | 单域名每日最大发送量 |
专用发送域名： 使用子域名（如outreach.company.com）以保护主域名声誉。
Health Benchmarks
健康指标基准
| 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% |
| 指标 | 健康范围 | 警告范围 | 危险范围 |
|---|---|---|---|
| 退信率 | <2% | 2-5% | >5% |
| 垃圾邮件投诉率 | <0.1% | 0.1-0.3% | >0.3% |
| 打开率 | >40% | 20-40% | <20% |
| 回复率 | >5% | 2-5% | <2% |
Sequence Design
序列设计
Optimal Sequence Structure
最优序列结构
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)邮件1（第0天）—— 以价值为导向的初次介绍
邮件2（第3天）—— 从新角度跟进
邮件3（第7天）—— 提供社交证明/案例研究
邮件4（第14天）—— 收尾邮件（最后尝试）Timing
发送时机
- 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)
- 最佳发送日： 周二、周三、周四
- 最佳发送时间： 收件人时区的8-10点
- 需避免： 周一上午、周五下午、周末
- 跟进间隔： 邮件间隔3-5天（切勿每日发送）
Subject Line Formulas
主题行公式
| 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.
| 公式 | 示例 | 打开率 |
|---|---|---|
| 提问式 | "关于[公司]增长的小问题？" | 高 |
| 共同联系人式 | "我观看了你在[活动]中的演讲" | 极高 |
| 具体结果式 | "[公司]每年可在[X]上节省4万美元" | 高 |
| 好奇心式 | "给[特定项目]的一个想法" | 中高 |
| 直接式 | "能否抽15分钟聊聊[痛点]？" | 中 |
规则： 长度不超过50字符。避免全大写。避免垃圾邮件触发词（如free、guarantee、act now）。个性化内容优于通用内容。
Email Body Framework
邮件正文框架
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.
第1行：基于调研的个性化开场（切勿使用"祝您安好"这类通用语句）
第2-3行：针对收件人的特定痛点或观察
第4-5行：你的解决方案（一句话，附带社交证明）
第6行：低门槛行动号召（用提问而非要求）长度： 50-125词。最多3-5句话。适配移动端阅读。
Personalization Tiers
个性化层级
| 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 |
| 层级 | 耗时 | 适用场景 | 示例 |
|---|---|---|---|
| 调研级 | 高（每封邮件5分钟以上） | 前50个重点客户 | 提及对方特定博客文章、近期融资或LinkedIn动态 |
| 模板级 | 中（每封邮件1分钟） | 中等优先级潜在客户 | 融入公司名称、行业痛点、角色特定角度 |
| 动态级 | 低（自动化） | 规模化开发 | 通过合并字段自动插入姓名、公司名称、行业信息 |
Compliance
合规性
CAN-SPAM (US)
CAN-SPAM（美国）
- 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
- 明确的发件人身份（真实姓名及公司）
- 准确的主题行（不得误导）
- 页脚包含实体邮寄地址
- 退订机制（需在10日内处理退订请求）
- 若适用需标记为广告
GDPR (EU/UK)
GDPR（欧盟/英国）
- 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
- B2B冷邮件需基于合法利益（需留存相关记录）
- 第一封邮件需明确身份及目的
- 简易的退订机制
- 未经同意不得发送至个人邮箱
- 潜在客户数据的留存政策
Best Practices
最佳实践
- 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
- 始终包含退订链接
- 立即尊重退订请求（自动化处理）
- 切勿购买邮件列表
- 发送前验证邮箱（降低退信率）
- 留存同意及退订记录
Anti-Patterns
常见误区
- Mass blasting — sending same email to 1000+ at once kills deliverability
- No personalization — "Dear Sir/Madam" or obviously templated
- Feature dumping — listing product features instead of addressing pain
- Aggressive follow-ups — daily follow-ups = spam reports
- No unsubscribe — illegal under CAN-SPAM and GDPR
- Misleading subjects — "Re:" or "Fwd:" on first contact
- Too many links/images — triggers spam filters
- No domain warming — sending 500 emails day 1 from new domain
- 大规模群发 —— 一次性向1000+收件人发送相同邮件会严重影响送达率
- 无个性化内容 —— 使用"尊敬的先生/女士"或明显模板化内容
- 堆砌功能 —— 罗列产品功能而非解决痛点
- 过度频繁跟进 —— 每日跟进会引发垃圾邮件投诉
- 无退订选项 —— 违反CAN-SPAM及GDPR规定
- 误导性主题 —— 初次联系时使用"Re:"或"Fwd:"前缀
- 过多链接/图片 —— 触发垃圾邮件过滤器
- 未进行域名预热 —— 新域名首日发送500封邮件
Integration with Other Skills
与其他技能的集成
- 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)
- copywriting-frameworks —— 将PAS、BAB、QUEST框架应用于冷邮件文案
- icp-research —— 构建潜在客户列表前先定义理想客户画像
- email-composer —— 通用邮件写作（cold-email-outreach专门针对 outbound 开发序列）
- klaviyo-analyst —— 用于营销自动化邮件（与冷邮件开发不同）