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Email Marketing

Community
w95
email-marketing

Create and optimize email marketing campaigns including sequences, newsletters, drip campaigns. Design subject line strategies, develop segmentation approaches, implement A/B testing, and establish analytics tracking for email performance.

Overview

Publisherw95
Repositoryawesome-claude-corporate-skills
Skill nameemail-marketing
Stars
270
Forks
55
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by w95 on GitHub. Read the source before you install it.

Installation

Install the Email Marketing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/w95/awesome-claude-corporate-skills/tree/main/04-marketing/email-marketing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/w95/awesome-claude-corporate-skills.git /tmp/awesome-claude-corporate-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-corporate-skills/04-marketing/email-marketing .claude/skills/email-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Email Marketing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Email Marketing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Email Marketing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Email Marketing

Overview

The Email Marketing skill enables marketers to design, execute, and optimize email campaigns that drive engagement and conversions. It covers strategy, segmentation, creative development, and performance analysis for various email types.

When to Use This Skill

  • Building new email campaigns or sequences
  • Optimizing email performance and engagement rates
  • Creating segmentation strategies for personalization
  • Developing email nurture sequences
  • Planning email calendar and sending cadence
  • Analyzing campaign results and identifying improvements

Email Campaign Framework

Email Types and Use Cases

Transactional Emails (System-triggered)

  • Confirmations: Order, signup, password reset
  • Notifications: Shipment, delivery, alerts
  • Receipts: Purchase, invoice, download
  • Goal: Ensure delivery and clarity
  • Engagement opportunity: Cross-sell, upsell hints

Promotional Emails (Direct sales focus)

  • Product launches: New features, products
  • Sales promotions: Limited-time offers, discounts
  • Flash sales: Urgency-driven campaigns
  • Goal: Drive immediate conversions
  • Best frequency: 1-2x per week max

Newsletter Emails (Content + offers)

  • Weekly/monthly roundups: Curated content
  • Educational series: Thought leadership
  • Company updates: News, milestones, insights
  • Goal: Build relationships, establish authority
  • Best frequency: Weekly or bi-weekly

Nurture Sequences (Multi-email progression)

  • Welcome series: 5-7 emails over 2 weeks
  • Product education: Feature deep-dives
  • Objection handling: Address customer concerns
  • Goal: Move prospects through funnel
  • Typical duration: 2-8 weeks

Re-engagement Campaigns (Inactive user focus)

  • Win-back emails: Special offer to re-engage
  • Survey/feedback: Understand disengagement
  • One-final-email: Last chance to retain
  • Goal: Reactivate or remove inactive users
  • Frequency: Quarterly or as-needed

Email Segmentation Strategy

Behavioral Segmentation (Action-based)

Segment: "High Engagement Users"
- Criteria: Opened 3+ emails in last 30 days
- Send frequency: 2x per week
- Content: Advanced features, premium content
- Goal: Maximize engagement and upgrades

Segment: "Product Explorers"
- Criteria: Visited pricing/demo page
- Send frequency: 1x per week
- Content: Product education, case studies
- Goal: Drive conversion to paid plan

Segment: "At-Risk Users"
- Criteria: No opens in 60+ days
- Send frequency: 1x per week (re-engagement series)
- Content: Value prop reminder, special offer
- Goal: Reactivate or collect feedback

Demographic Segmentation (Profile-based)

  • By role: Sales, Marketing, Product, Finance
  • By company size: Enterprise, SMB, startup
  • By industry: Tech, Finance, Healthcare
  • By geography: Region, timezone, language

Lifecycle Segmentation (Customer journey)

  • Prospects: Early awareness stage
  • Early adopters: Trial/freemium users
  • Active customers: Regular product use
  • Loyal customers: High LTV, long tenure
  • Churned customers: Previously engaged

Subject Line Optimization Strategy

Subject Line Formulas (Proven patterns)

Pattern 1: Curiosity Gap

  • Template: "[Intriguing statement] [number of reasons]"
  • Example: "This one metric improved our retention by 40%"
  • Best for: Articles, insights, reports
  • Open rates: 35-45%

Pattern 2: Benefit-driven

  • Template: "How to [achieve benefit] without [pain point]"
  • Example: "How to cut email send time in half without hiring"
  • Best for: Guides, tutorials, product features
  • Open rates: 32-42%

Pattern 3: Social proof

  • Template: "[Number] companies are already [achieving result]"
  • Example: "4,200 marketers switched to us last quarter"
  • Best for: Product launches, social proof
  • Open rates: 30-40%

Pattern 4: Question-based

  • Template: "Is your [area] [negative outcome]?"
  • Example: "Is your email list growing slower than competitors?"
  • Best for: Problem-aware segments
  • Open rates: 28-38%

Pattern 5: FOMO/Urgency

  • Template: "[Number] days left: [benefit/offer]"
  • Example: "48 hours: Save 30% on annual plans"
  • Best for: Promotions, limited-time offers
  • Open rates: 30-40%

Subject Line Testing Matrix

TestExample 1Example 2WinnerOpen Rate
Personalization"Sarah's exclusive offer""Your VIP exclusive offer"Test
Length"Boost productivity""Boost your team's productivity with smart automation"Shorter often wins
Numbers"5 ways to improve sales""Proven techniques to improve sales"Numbers
Power words"Discover your hidden potential""Learn your potential"Emotional triggers
Question"Is your CRM slowing you down?""CRM platform comparison"Questions higher

Testing Best Practices:

  • Test one variable per campaign
  • Minimum sample: 1,000 email addresses
  • Test duration: 24-48 hours
  • Statistical significance: 95% confidence
  • Winner: Usually 5-10% lift is significant

Drip Campaign Architecture

Welcome Sequence (7-email series over 14 days)

Email 1: Welcome (Immediate)

  • Goal: Build excitement, set expectations
  • Copy focus: Welcome tone, quick value statement
  • CTA: Tour product or watch 2-minute video
  • Timing: Send at signup, or next business morning

Email 2: Customer Success Story (Day 2)

  • Goal: Establish credibility, show ROI
  • Copy focus: Relatable case study, specific results
  • CTA: Read full case study
  • Timing: Morning send, when engagement high

Email 3: Feature Education (Day 4)

  • Goal: Product familiarization
  • Copy focus: Top feature deep-dive with benefit
  • CTA: Start using [feature]
  • Timing: Mid-week send

Email 4: Objection Handling (Day 7)

  • Goal: Address common concerns
  • Copy focus: FAQ format, benefit reframing
  • CTA: Schedule demo or read comparison
  • Timing: Week 2 start

Email 5: Social Proof (Day 10)

  • Goal: Build confidence
  • Copy focus: Customer testimonials, user count
  • CTA: Join community or try feature
  • Timing: Mid-week engagement boost

Email 6: Advanced Feature (Day 12)

  • Goal: Drive deeper engagement
  • Copy focus: Advanced capability, premium benefit
  • CTA: Upgrade or contact sales
  • Timing: Close to conversion point

Email 7: Final CTA (Day 14)

  • Goal: Drive decision
  • Copy focus: Time-limited offer or strong benefit
  • CTA: Start trial/upgrade/schedule call
  • Timing: EOW to weekend consideration

Email Performance Metrics

Key Performance Indicators (KPIs)

Deliverability Metrics:

  • Delivery rate: % emails delivered (target: >95%)
  • Bounce rate: % undeliverable (target: <2%)
  • Spam complaints: % marked as spam (target: <0.1%)

Engagement Metrics:

  • Open rate: % recipients opening (target: 20-40%)
  • Click rate: % recipients clicking (target: 2-5%)
  • Click-to-open rate (CTOR): Engagement depth (target: 10-20%)

Conversion Metrics:

  • Conversion rate: % leading to goal (target: 1-5%)
  • Revenue per email: Total revenue / total sends
  • Customer acquisition cost: Campaign spend / new customers

List Health Metrics:

  • List growth rate: New subscribers - unsubscribes
  • Unsubscribe rate: % opting out (target: <0.5%)
  • Re-engagement rate: % returning after dormancy

Benchmark by Email Type

Email TypeTypical Open RateTypical Click RateTypical Conversion
Newsletter20-25%2-4%0.5-1.5%
Promotional15-20%3-8%1-3%
Transactional50-70%5-15%5-10%
Abandoned cart25-35%4-8%2-4%
Welcome40-60%8-15%2-5%

Email Design Template

Mobile-First Structure

Header (600px width)

  • Logo: Left-aligned, 120-180px wide
  • Headline: Larger font, mobile readable
  • Preview: Concise, benefit-focused

Body (Single column optimal)

  • Subheading: Create scanning hierarchy
  • Copy blocks: 40-60 characters per line
  • Whitespace: Generous margins and spacing
  • CTA button: 44px+ height for mobile tapping

Footer

  • Contact info: Business address, phone
  • Social links: Platforms you actively use
  • Unsubscribe: Required by CAN-SPAM

Content Blocks

Social proof block:

[Customer logo] "Quote about results" - Customer Name
[Star rating] [Review count] reviews on G2

Feature highlight block:

[Icon] Feature Name
Brief description with benefit
[Learn more link]

Email Marketing Checklist

  • Segmentation strategy defined
  • Audience list quality verified
  • Subject line tested and approved
  • Email template mobile-responsive
  • Copy edited and proofread (3x review)
  • All links verified and tracked with UTM
  • Preview images load correctly
  • CTA button prominent and actionable
  • Unsubscribe link compliant
  • Spam testing performed
  • Sending time optimized for audience
  • Follow-up email sequence planned
  • Analytics dashboard configured
  • Team trained on process

Output Deliverables

  1. Email Campaign Brief - Goals, audience, messaging
  2. Email Template - Design and copy finalized
  3. Segmentation Plan - Audience breakdown and cadence
  4. Subject Line Test Report - Winning variations and results
  5. Send Schedule - Timing and frequency plan
  6. Performance Dashboard - Real-time metrics monitoring
  7. Post-Campaign Analysis - Results, learnings, optimizations

Frequently asked questions

What does the Email Marketing AI skill do?

Create and optimize email marketing campaigns including sequences, newsletters, drip campaigns. Design subject line strategies, develop segmentation approaches, implement A/B testing, and establish analytics tracking for email performance.

Why use Email Marketing on TypingMind?

Because you install it once and use it with any model. Email Marketing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Email Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/w95/awesome-claude-corporate-skills/tree/main/04-marketing/email-marketing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Email Marketing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Email Marketing?

As many as you like. As long as a model supports skills, you can use Email Marketing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Email Marketing AI skill free?

Yes. It is published on GitHub by w95 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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