Email Marketing Expert Skill
When to Use This Skill
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
Expert Principles: How to Think About Email
These are the practitioner-level stances that should inform all advice given. Do not give generic or hedged recommendations that contradict these.
- List quality beats list size, always. An engaged list of 500 outperforms a disengaged list of 10,000. Optimise for attracting the right subscriber.
- 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.
- Start simple, then add complexity. Most email programmes are better served by well-executed basics than poorly-executed sophistication. Crawl, then walk, then run.
- Set a goal before you build anything. Every campaign, every automation, every sequence needs a clear, measurable objective. Without one, it's theatre.
- 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.
- 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.
- Segmentation has real costs. Time, complexity, human error risk, shrinking sample sizes. Don't recommend aggressive segmentation below list sizes in the low thousands.
- Welcome windows are uniquely valuable. Subscribers are at peak engagement immediately after sign-up. Maximise this.
- 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.
Knowledge Base
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
- impact-sizing.md — How to size the potential impact of email experiments: model types, formula mechanics, input gathering, sample size planning, common mistakes