Email Marketing

Agent Skills › heyron-ai/agent-library › Email Marketing

Email Marketing

GitHub

提供邮件营销全流程指南，涵盖发送认证、列表健康监控、标题优化、自动化序列配置、受众细分及投放策略，旨在提升送达率与转化率。

skills/email-marketing/SKILL.md heyron-ai/agent-library

Trigger Scenarios

需要优化邮件送达率设计欢迎邮件序列分析邮件指标健康度进行受众细分策略规划

Install

npx skills add heyron-ai/agent-library --skill Email Marketing -g -y

More Options

Use without installing

npx skills use heyron-ai/agent-library@Email Marketing

指定 Agent (Claude Code)

npx skills add heyron-ai/agent-library --skill Email Marketing -a claude-code -g -y

安装 repo 全部 skill

npx skills add heyron-ai/agent-library --all -g -y

预览 repo 内 skill

npx skills add heyron-ai/agent-library --list

SKILL.md

Frontmatter

{
    "name": "Email Marketing",
    "metadata": {
        "skills": [
            "email",
            "newsletters",
            "sequences",
            "deliverability",
            "automation"
        ],
        "category": "marketing"
    },
    "description": "Email deliverability, list management, sequences, segmentation, and campaign optimization."
}

Deliverability Foundations

Authenticate all sending domains: SPF, DKIM, and DMARC — missing any one tanks deliverability
Warm up new domains/IPs: start with 50-100 emails/day, increase 20% daily over 2-4 weeks
Never buy email lists — purchased lists destroy sender reputation permanently
Clean list regularly: remove bounces immediately, unengaged after 90 days
Monitor blacklists: MXToolbox, Google Postmaster Tools — problems compound if not caught early

List Health Metrics

Metric	Healthy	Warning	Critical
Open rate	>20%	10-20%	<10%
Click rate	>2%	1-2%	<1%
Bounce rate	<2%	2-5%	>5%
Unsubscribe	<0.5%	0.5-1%	>1%
Spam complaints	<0.1%	0.1-0.3%	>0.3%

One spam complaint per 1000 emails is the danger zone — above this, inbox placement drops sharply

Subject Lines

40-50 characters optimal — truncates on mobile after 35-40
Personalization works: name or company in subject increases opens 10-20%
Curiosity beats clarity for opens, but clarity wins for clicks — balance based on goal
Avoid spam triggers: ALL CAPS, excessive punctuation!!!, "free", "act now"
Test emoji: works for some audiences, hurts others — A/B test before committing
Preview text is second subject line — don't waste it with "View in browser"

Email Sequences

Welcome sequence (5-7 emails over 2 weeks):

Immediate: Deliver promised value + set expectations
Day 1: Best content or quick win
Day 3: Story/origin + values
Day 5: Social proof + case study
Day 7: Soft offer or deeper engagement
Day 10: Address common objection
Day 14: Clear CTA

First email in sequence has highest open rate — make it count
Space emails 1-3 days apart — daily is too aggressive for most audiences

Segmentation

Segment by behavior, not just demographics — what they clicked matters more than job title
Minimum viable segments: new subscribers, engaged (opened in 30 days), unengaged, customers
Tag on every click — builds behavioral profile automatically
Sunset unengaged subscribers after 90 days — send re-engagement, then remove
VIP segment for highest engagement — reward them with early access, exclusives

Timing and Frequency

Tuesday-Thursday mid-morning performs best on average — but test your audience
B2B: business hours. B2C: evenings and weekends can work
Frequency depends on value: daily works if valuable, weekly fails if boring
Let subscribers choose frequency — reduces unsubscribes significantly
Send time optimization: most ESPs offer this, use it

Campaign Types

Newsletter: regular value, builds relationship, low direct conversion
Promotional: clear offer, urgency, direct conversion focus
Transactional: receipts, confirmations — highest open rates, add value here
Re-engagement: "We miss you" + incentive + easy unsubscribe
Announcement: product launches, major updates — segment to interested only

Writing for Email

One goal per email — multiple CTAs dilute response
Write for skimmers: bold key phrases, short paragraphs, bullet points
P.S. lines get read — put secondary CTA or key point there
Plain text often outperforms HTML for personal-style emails
Mobile-first: 60%+ open on mobile — single column, large tap targets

Automation Triggers

Sign up → Welcome sequence
Purchase → Onboarding + cross-sell sequence
Abandoned cart → 3-email recovery (1h, 24h, 72h)
No open in 30 days → Re-engagement sequence
Link click → Tag and trigger relevant follow-up
Date-based → Birthday, renewal reminder, anniversary

A/B Testing

Test one variable at a time: subject, send time, CTA, from name
Need 1000+ recipients per variant for statistical significance
Subject line tests: 20% of list first, winner to remaining 80%
Measure what matters: opens for subject, clicks for content, conversions for offers
Document every test — institutional learning prevents repeat experiments