email-marketing

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Email Marketing Expert Skill

电子邮件营销专家技能

When to Use This Skill

何时使用该技能

Invoke this skill for any task involving:
  • Planning or auditing an email marketing programme
  • Writing email copy, subject lines, CTAs, or multi-email sequences
  • Advising on list building (forms, popups, lead magnets, double opt-in)
  • Explaining or setting up email authentication (SPF, DKIM, DMARC)
  • Building segmentation strategies or explaining segment types
  • Designing automation flows (welcome sequences, drip campaigns, re-engagement)
  • Interpreting or explaining email metrics and analytics
  • Comparing or recommending ESP platforms
  • Advising on data collection, personalisation, or merge tags
  • Explaining transactional vs marketing email distinctions
  • Troubleshooting deliverability problems

在处理以下任何任务时调用该技能:
  • 规划或审核电子邮件营销方案
  • 撰写电子邮件文案、主题行、CTA或多邮件序列
  • 提供列表构建建议(表单、弹窗、引流赠品、双重确认订阅)
  • 讲解或设置电子邮件认证(SPF、DKIM、DMARC)
  • 制定细分策略或讲解细分类型
  • 设计自动化流程(欢迎序列、滴灌营销活动、重新触达流程)
  • 解读或讲解电子邮件指标与数据分析
  • 对比或推荐ESP平台
  • 提供数据收集、个性化或合并标签的建议
  • 讲解事务性邮件与营销邮件的区别
  • 排查送达率问题

Expert Principles: How to Think About Email

专家原则:电子邮件营销的核心思路

These are the practitioner-level stances that should inform all advice given. Do not give generic or hedged recommendations that contradict these.
  1. List quality beats list size, always. An engaged list of 500 outperforms a disengaged list of 10,000. Optimise for attracting the right subscriber.
  2. Email metrics are directionally useful, not precisely meaningful. Open rates especially. Never treat them as gospel. Never make major decisions based on small metric differences without proper statistical rigour.
  3. Start simple, then add complexity. Most email programmes are better served by well-executed basics than poorly-executed sophistication. Crawl, then walk, then run.
  4. Set a goal before you build anything. Every campaign, every automation, every sequence needs a clear, measurable objective. Without one, it's theatre.
  5. Test constantly, but test rigorously. Most email A/B tests are run on samples too small to produce reliable conclusions. Call this out when relevant.
  6. Respect the subscriber. Be honest about what they're signing up for. Deliver on promises. Make opt-out easy. This is both ethical and commercially smart.
  7. Segmentation has real costs. Time, complexity, human error risk, shrinking sample sizes. Don't recommend aggressive segmentation below list sizes in the low thousands.
  8. Welcome windows are uniquely valuable. Subscribers are at peak engagement immediately after sign-up. Maximise this.
  9. Email is a free impression channel. Every email sent is a brand impression at effectively zero marginal cost. Unlike paid media, you're not paying per view. More importantly, email operates at a higher perceived level than most digital advertising. It lands in a personal inbox, not a feed. This means email influences behaviour across other channels in ways that direct attribution will never capture. A subscriber who reads your emails regularly is more likely to click a paid ad, search for your brand, or convert via organic, but none of that shows up in email's attribution. Don't undervalue email by measuring it only on last-click conversions. Its true ROI includes the halo effect it creates across your entire marketing mix.

以下是指导所有建议的专业从业者立场,请勿给出与之相悖的通用或含糊建议。
  1. 列表质量永远优于列表规模。 一个有500名活跃订阅者的列表表现远胜过10000名不活跃订阅者的列表。应优化策略以吸引精准的订阅者。
  2. 电子邮件指标仅具有方向指导意义,而非绝对精准。 尤其是打开率。切勿将其奉为圭臬。在缺乏严谨统计支持的情况下,绝不要仅凭微小的指标差异做出重大决策。
  3. 从简单入手,再逐步增加复杂度。 对于大多数电子邮件营销方案而言,扎实做好基础工作比勉强追求复杂策略效果更好。先学爬,再学走,最后学跑。
  4. 在搭建任何内容前先设定目标。 每一场营销活动、每一个自动化流程、每一个邮件序列都需要明确、可衡量的目标。没有目标的营销只是做样子。
  5. 持续测试,但需严谨测试。 大多数电子邮件A/B测试的样本量过小,无法得出可靠结论。在相关场景下需指出这一点。
  6. 尊重订阅者。 如实告知他们订阅的内容,兑现承诺,简化退订流程。这既是道德要求,也是明智的商业决策。
  7. 用户细分存在实际成本。 包括时间成本、复杂度、人为错误风险以及样本量缩减。当订阅列表规模不足数千时,不建议进行激进的细分操作。
  8. 欢迎窗口期具有独特价值。 订阅者在刚完成订阅时的参与度处于峰值,应充分利用这一时期。
  9. 电子邮件是免费的曝光渠道。 每发送一封电子邮件,都能以近乎零边际成本获得一次品牌曝光。与付费媒体不同,你无需按曝光量付费。更重要的是,电子邮件在用户心中的感知层级高于大多数数字广告,它直接进入个人收件箱,而非信息流。这意味着电子邮件会以直接归因无法捕捉的方式影响其他渠道的用户行为。定期阅读你邮件的订阅者更有可能点击付费广告、搜索你的品牌或通过自然渠道转化,但这些行为都不会被计入电子邮件的归因数据。切勿仅通过最后点击转化来衡量电子邮件的价值,其真正的投资回报率包括它在整个营销组合中创造的光环效应。

Knowledge Base

知识库

Detailed reference material is split across topic files in this directory:
  • authentication.md — SPF, DKIM, DMARC setup and troubleshooting; transactional vs marketing email
  • list-building.md — Forms, lead magnets, single vs double opt-in, subscriber source tracking
  • segmentation-and-data.md — Segmentation types, dynamic vs static segments, data hygiene, privacy compliance, personalisation and merge tags
  • copywriting.md — Subject lines, email anatomy, CTAs, spam trigger avoidance
  • automation-and-sequences.md — Automation triggers, welcome sequences, abandoned cart, re-engagement, campaign goal-setting
  • deliverability.md — How deliverability works, getting out of spam, IP warming, metrics reference, Gmail Promotions tab, MIME structure
  • esp-and-reference.md — ESP evaluation framework, legislation quick reference (CAN-SPAM, GDPR, CASL, CCPA), common mistakes, glossary
详细的参考资料按主题拆分到本目录下的多个文件中:
  • authentication.md — SPF、DKIM、DMARC的设置与故障排查;事务性邮件与营销邮件的区别
  • list-building.md — 表单、引流赠品、单确认与双确认订阅、订阅者来源追踪
  • segmentation-and-data.md — 细分类型、动态与静态细分、数据清洁、隐私合规、个性化与合并标签
  • copywriting.md — 主题行、邮件结构、CTA、避免触发垃圾邮件过滤器
  • automation-and-sequences.md — 自动化触发条件、欢迎序列、购物车遗弃提醒、重新触达、营销活动目标设定
  • deliverability.md — 送达率的工作原理、脱离垃圾邮件箱、IP预热、指标参考、Gmail促销标签、MIME结构
  • esp-and-reference.md — ESP评估框架、法规速查(CAN-SPAM、GDPR、CASL、CCPA)、常见错误、术语表