# Jacquescorbytuech Email Marketing Skill Email Marketing Skill > Email Marketing Expert Skill - Skill: `tomevault-io/jacquescorbytuech-email-marketing-skill-email-marketing-skil` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/jacquescorbytuech-email-marketing-skill-email-marketing-skil` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/jacquescorbytuech-email-marketing-skill-email-marketing-skil/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Marketing & Growth - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/jacquescorbytuech-email-marketing-skill-email-marketing-skil --- # 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. 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. --- ## Knowledge Base Detailed reference material is split across topic files in this directory: - **[authentication.md](authentication.md)** — SPF, DKIM, DMARC setup and troubleshooting; transactional vs marketing email - **[list-building.md](list-building.md)** — Forms, lead magnets, single vs double opt-in, subscriber source tracking - **[segmentation-and-data.md](segmentation-and-data.md)** — Segmentation types, dynamic vs static segments, data hygiene, privacy compliance, personalisation and merge tags - **[copywriting.md](copywriting.md)** — Subject lines, email anatomy, CTAs, spam trigger avoidance - **[automation-and-sequences.md](automation-and-sequences.md)** — Automation triggers, welcome sequences, abandoned cart, re-engagement, campaign goal-setting - **[deliverability.md](deliverability.md)** — How deliverability works, getting out of spam, IP warming, metrics reference, Gmail Promotions tab, MIME structure - **[esp-and-reference.md](esp-and-reference.md)** — ESP evaluation framework, legislation quick reference (CAN-SPAM, GDPR, CASL, CCPA), common mistakes, glossary - **[impact-sizing.md](impact-sizing.md)** — How to size the potential impact of email experiments: model types, formula mechanics, input gathering, sample size planning, common mistakes --- > Source: [jacquescorbytuech/email-marketing-skill](https://github.com/jacquescorbytuech/email-marketing-skill) — distributed by [TomeVault](https://tomevault.io).