Email Marketing logo

Email Marketing

Organization
claude-office-skills
email-marketing

Email marketing automation - campaign creation, sequence building, A/B testing, deliverability optimization, and analytics

Overview

Publisherclaude-office-skills
Repositoryskills
Skill nameemail-marketing
Stars
514
Forks
97
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 claude-office-skills 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/claude-office-skills/skills/tree/main/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/claude-office-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/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

Comprehensive email marketing skill covering campaign creation, automated sequences, A/B testing, segmentation, and deliverability optimization.

Overview

This skill covers:

  • Email campaign creation and templates
  • Automated drip sequences
  • A/B testing frameworks
  • List segmentation strategies
  • Deliverability best practices

Email Types & Templates

1. Welcome Sequence

yaml
sequence: "Welcome Series"
trigger: subscriber_signup
duration: 14_days

emails:
  - day_0:
      subject: "Welcome to {Brand} 🎉"
      goal: deliver_lead_magnet + set_expectations
      template: |
        Hi {first_name},
        
        Welcome to {Brand}! Here's your [free resource].
        
        Over the next 2 weeks, I'll share:
        • {benefit_1}
        • {benefit_2}
        • {benefit_3}
        
        First up: [teaser for email 2]
        
        Talk soon,
        {sender_name}
        
  - day_2:
      subject: "The #1 mistake {audience} make"
      goal: educate + build_trust
      
  - day_4:
      subject: "{first_name}, quick question"
      goal: engagement + segmentation
      
  - day_7:
      subject: "How {customer} achieved {result}"
      goal: social_proof + soft_pitch
      
  - day_10:
      subject: "Ready to {achieve_goal}?"
      goal: conversion + offer
      
  - day_14:
      subject: "Last chance: {offer_details}"
      goal: urgency + final_conversion

2. Newsletter Template

yaml
newsletter:
  frequency: weekly
  day: Tuesday
  time: 10:00 AM
  
  structure:
    - header:
        logo: true
        issue_number: true
        
    - intro:
        personal_note: 2-3 sentences
        tease_content: true
        
    - main_content:
        sections: 3-5
        format: |
          ## {Section Title}
          
          {2-3 paragraph insight}
          
          **Key takeaway**: {one-liner}
          
          [Read more →]({link})
          
    - curated_links:
        count: 3-5
        format: "• {title} - {one-line description}"
        
    - cta:
        primary: product/service
        secondary: share/reply
        
    - footer:
        social_links: true
        unsubscribe: required

3. Promotional Email

yaml
promo_email:
  type: sale_announcement
  
  subject_options:
    - "{first_name}, 30% off ends tonight"
    - "🚨 Final hours: Your exclusive deal"
    - "Last call: Save $X on {product}"
    
  structure:
    hero:
      headline: "{Offer headline}"
      subhead: "Limited time only"
      cta_button: "Shop Now"
      
    body:
      - urgency: "Sale ends in {countdown}"
      - social_proof: "{X} customers already saved"
      - benefits: bullet list
      - testimonial: 1 short quote
      
    cta:
      button_text: "Claim Your {X}% Off"
      link: "{promo_landing_page}"
      
    ps:
      text: "P.S. {urgency reminder or bonus}"

Automated Sequences

Cart Abandonment

yaml
sequence: "Cart Recovery"
trigger: cart_abandoned
wait_before_start: 1_hour

emails:
  - email_1:
      delay: 1_hour
      subject: "Forgot something? 🛒"
      content: |
        Hi {first_name},
        
        You left some items in your cart:
        
        {cart_items_with_images}
        
        [Complete Your Order →]
        
        Questions? Reply to this email.
        
  - email_2:
      delay: 24_hours
      subject: "Your cart is waiting"
      content: |
        Still thinking it over?
        
        Here's why {X} customers love {product}:
        
        ⭐ "{testimonial}"
        
        [Complete Purchase →]
        
  - email_3:
      delay: 72_hours
      subject: "Last chance + free shipping"
      content: |
        Hi {first_name},
        
        Your cart expires soon, but here's a little incentive:
        
        Use code FREESHIP for free shipping.
        
        [Complete Order with Free Shipping →]

Re-engagement Sequence

yaml
sequence: "Win-Back"
trigger: inactive_90_days

emails:
  - email_1:
      subject: "We miss you, {first_name}"
      content: |
        It's been a while! Here's what's new at {Brand}:
        
        • {New feature 1}
        • {New feature 2}
        • {New content}
        
        Come back and check it out →
        
  - email_2:
      delay: 7_days
      subject: "A special offer just for you"
      content: |
        {first_name},
        
        We'd love to have you back. Here's 20% off your next purchase.
        
        Use code: COMEBACK20
        
  - email_3:
      delay: 14_days
      subject: "Should we part ways?"
      content: |
        Hi {first_name},
        
        We noticed you haven't opened our emails in a while.
        
        If you'd like to stay subscribed, click here: [Stay Subscribed]
        
        If not, we'll remove you from our list in 7 days.
        
        No hard feelings either way.

A/B Testing Framework

What to Test

yaml
ab_test_elements:
  high_impact:
    - subject_line:
        variants: 2-3
        sample_size: 20% of list
        winner_criteria: open_rate
        
    - send_time:
        variants: [morning, afternoon, evening]
        test_duration: 2_weeks
        
    - cta_button:
        variants: [text, color, placement]
        winner_criteria: click_rate
        
  medium_impact:
    - preview_text
    - email_length
    - personalization_level
    - image_vs_no_image
    
  low_impact:
    - font_choice
    - button_shape
    - footer_layout

Subject Line A/B Test Examples

yaml
test_1:
  hypothesis: "Emoji increases open rate"
  variant_a: "Your weekly productivity tips"
  variant_b: "Your weekly productivity tips 🚀"
  
test_2:
  hypothesis: "Personalization increases open rate"
  variant_a: "New features you'll love"
  variant_b: "{first_name}, new features you'll love"
  
test_3:
  hypothesis: "Curiosity gap increases open rate"
  variant_a: "5 ways to save money"
  variant_b: "The $500 mistake I almost made"
  
test_4:
  hypothesis: "Urgency increases open rate"
  variant_a: "30% off this weekend"
  variant_b: "30% off ends in 24 hours"

Segmentation Strategies

yaml
segmentation:
  behavioral:
    - purchase_history:
        segments: [never_purchased, one_time, repeat, vip]
        
    - engagement_level:
        segments: [highly_engaged, moderate, inactive, churned]
        criteria:
          highly_engaged: opened_5_of_last_5
          moderate: opened_2_5_of_last_5
          inactive: no_open_30_days
          churned: no_open_90_days
          
    - product_interest:
        based_on: [clicks, page_views, cart_adds]
        
  demographic:
    - location: for timezone optimization
    - industry: for B2B personalization
    - company_size: for offer customization
    
  lifecycle:
    - stage: [lead, trial, customer, churned]
    - tenure: [new, established, long_term]

segment_specific_content:
  vip_customers:
    - early_access: true
    - exclusive_discounts: true
    - personalized_recommendations: true
    
  inactive_subscribers:
    - reduced_frequency: true
    - re_engagement_offers: true
    - sunset_flow: after_90_days

Deliverability Best Practices

yaml
deliverability:
  authentication:
    required:
      - SPF: sender policy framework
      - DKIM: domain keys
      - DMARC: alignment policy
    check: mxtoolbox.com
    
  list_hygiene:
    - remove_bounces: immediately
    - remove_unsubscribes: immediately
    - re_engage_inactive: after_60_days
    - remove_inactive: after_90_days
    
  content_best_practices:
    - spam_words_avoid: [free, act now, limited time, click here]
    - text_to_image_ratio: 60:40
    - alt_text: on all images
    - unsubscribe_link: prominent
    - physical_address: required (CAN-SPAM)
    
  sending_practices:
    - warm_up_new_domain: 2-4 weeks
    - consistent_sending: same days/times
    - gradual_volume_increase: max 20%/week
    - monitor_complaints: target <0.1%

Analytics & KPIs

yaml
email_metrics:
  primary:
    - open_rate:
        benchmark: 20-25%
        improve_with: subject_lines, sender_name, send_time
        
    - click_rate:
        benchmark: 2-5%
        improve_with: content, cta, design
        
    - conversion_rate:
        benchmark: 1-3%
        improve_with: offer, landing_page, targeting
        
  secondary:
    - unsubscribe_rate:
        healthy: <0.5%
        action: review frequency, content relevance
        
    - bounce_rate:
        healthy: <2%
        action: clean list, verify emails
        
    - spam_complaints:
        healthy: <0.1%
        action: improve opt-in, add unsubscribe
        
  revenue:
    - revenue_per_email
    - revenue_per_subscriber
    - customer_lifetime_value

reporting_template: |
  # Email Performance Report - {Week/Month}
  
  ## Campaign Summary
  | Campaign | Sent | Opens | Clicks | Conv | Revenue |
  |----------|------|-------|--------|------|---------|
  | Newsletter | 10K | 22% | 3.5% | 1.2% | $5,000 |
  | Promo | 10K | 28% | 5.2% | 2.8% | $12,000 |
  
  ## List Health
  - Total subscribers: 50,000
  - New this week: 500
  - Unsubscribes: 45 (0.09%)
  - Bounces: 12 (0.02%)
  
  ## Top Performing
  - Best subject: "{subject}" (32% open rate)
  - Best CTA: "{cta}" (8% click rate)
  
  ## Recommendations
  1. Test more curiosity-based subjects
  2. Segment by engagement for next promo
  3. Clean inactive subscribers (2,000+)

Output Example

Request: "Create a welcome email sequence for a SaaS product"

Output:

markdown
# Welcome Sequence - SaaS Product

## Email 1: Welcome (Immediate)
**Subject**: Welcome to {Product}! Here's your quick start guide 🚀

Hi {first_name},

Welcome to {Product}! I'm {founder_name}, and I'm thrilled you're here.

You just joined 10,000+ teams who've transformed how they work.

Your first step: [Complete your profile] (takes 2 min)

Over the next week, I'll share: • The 3 features that save users 5+ hours/week • How {Company} increased productivity by 40% • Pro tips from power users

Questions? Just reply to this email—I read every one.

Let's do this, {founder_name}

P.S. Need help? [Book a free onboarding call]


---

## Email 2: Quick Win (Day 2)
**Subject**: {first_name}, try this 2-minute trick

Hi {first_name},

Day 2, and I want to share the #1 feature our users love:

[Feature Name]

It takes 2 minutes to set up, and users report saving 1+ hour every day.

Here's how:

  1. Go to Settings → [Feature]
  2. Click "Enable"
  3. That's it!

[Set it up now →]

Tomorrow, I'll show you how {Customer} used this to {impressive result}.

Talk soon, {founder_name}


---

## Email 3: Social Proof (Day 4)
**Subject**: How {Customer} saved 10 hours/week

Hi {first_name},

Meet Sarah, a project manager at {Company}.

Before {Product}: "I spent 10+ hours/week on status updates."

After {Product}: "Everything's automated. I focus on actual work now."

The best part? She set it up in one afternoon.

Want similar results? Here are Sarah's top 3 tips:

  1. {Tip 1}
  2. {Tip 2}
  3. {Tip 3}

[See the full case study →]

What's your biggest productivity challenge? Reply and let me know.

{founder_name}


---

## Email 4: Engagement Check (Day 7)
**Subject**: Quick question, {first_name}

Hi {first_name},

It's been a week! Quick check-in:

How's {Product} working for you so far?

A) 🚀 Loving it! B) 🤔 Still figuring it out C) 😕 Having some issues

[Click your answer]

Based on your response, I'll send you the most relevant resources.

{founder_name}

P.S. If you picked C, reply with details and my team will help within 24 hours.


---

## Email 5: Conversion (Day 10)
**Subject**: Ready to unlock full power?

Hi {first_name},

You've been using {Product} for 10 days. Here's what you've accomplished:

📊 {personalized_stats}

Impressive! But you're only using 40% of what {Product} can do.

With Pro, you unlock: ✅ {Pro feature 1} ✅ {Pro feature 2} ✅ {Pro feature 3}

Teams who upgrade see {X%} more productivity on average.

[Upgrade to Pro →]

Use code WELCOME20 for 20% off your first year.

{founder_name}


---

**Sequence Settings:**
- Wait time between emails: As specified
- Skip weekend sends: Yes
- Exit condition: Upgrades OR unsubscribes
- Branch: If no opens after email 3 → shorter re-engagement sequence

Email Marketing Skill - Part of Claude Office Skills

Frequently asked questions

What does the Email Marketing AI skill do?

Email marketing automation - campaign creation, sequence building, A/B testing, deliverability optimization, and analytics

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/claude-office-skills/skills/tree/main/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 claude-office-skills 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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