Email Marketing

👤 yinanping-cpu 📦 v1.0.1 ⭐ 3.7 ⬇️ 1.1K 下載
✍️ 內容創作 免費

📖 技能介紹

Email Marketing

Overview

Complete email marketing automation skill. Create campaigns, manage subscriber lists, design email templates, schedule sends, and track performance.

Features

  • Campaign creation and management
  • Email templates (promotional, welcome)
  • Subscriber list management
  • Basic analytics
  • E-commerce integration support

Quick Start

Create and Send Campaign

python scripts/email_campaign.py --action create --name "Spring Sale" --template promotional --list customers

Send Campaign

python scripts/email_campaign.py --action send --name "Spring Sale"

Add Subscriber

python scripts/email_campaign.py --action add-subscriber --list customers --email user@example.com

Scripts

email_campaign.py

Create and send email campaigns.

Actions:

  • create - Create new campaign
  • send - Send campaign to list
  • add-subscriber - Add subscriber to list

Arguments:

  • --action - Action to perform
  • --name - Campaign name
  • --template - Email template
  • --list - Subscriber list
  • --email - Subscriber email (for add-subscriber)
  • --dry-run - Simulate without sending

Email Templates

Promotional Template

Subject: 🎉 {{offer}} - Limited Time Only!

Hi {{first_name}},

Great news! We're offering {{discount}} on {{product_category}}.

✨ What you get:
• Benefit 1
• Benefit 2
• Benefit 3

⏰ Offer expires: {{expiry_date}}

[Shop Now] {{shop_link}}

Questions? Reply to this email!

Best,
{{store_name}} Team

---
Taobao: {{taobao_link}}
Douyin: {{douyin_link}}

Newsletter Template

Subject: {{month}} {{year}} - {{highlight}}

Hello {{first_name}},

Here's what's new this {{month}}:

## Highlights
- Update 1
- Update 2
- Update 3

## Featured Products
{{product_showcase}}

## Tips & Tricks
{{content_tip}}

Stay tuned for more!

{{store_name}}

Welcome Series (5 emails)

Day 1: Welcome + Brand Story Day 3: Best Sellers Showcase Day 7: Customer Reviews Day 14: Special Offer Day 30: Feedback Request

Subscriber Lists

List Segments

  • all_subscribers - Everyone
  • customers_active - Purchased in last 90 days
  • customers_vip - High-value customers
  • prospects - Never purchased
  • inactive - No engagement in 6 months

Import Subscribers

email,first_name,last_name,source,signup_date
customer@example.com,John,Doe,taobao,2026-01-15

E-commerce Integration

Taobao/Douyin Customer Sync

# Sync recent buyers to email list
python scripts/sync_customers.py \
  --store taobao \
  --days 30 \
  --list recent_buyers

Abandoned Cart Recovery

# Send reminder to customers with pending orders
python scripts/abandoned_cart.py \
  --hours 24 \
  --discount 5

Post-Purchase Followup

# Thank you + review request
python scripts/post_purchase.py \
  --delay 7 \
  --request-review true

Analytics

Campaign Metrics

python scripts/campaign_stats.py --campaign spring_sale

Output:

  • Sent count
  • Open rate
  • Click rate
  • Unsubscribe rate
  • Conversion rate

A/B Testing

python scripts/ab_test.py \
  --campaign spring_sale \
  --variant-a subject_a.txt \
  --variant-b subject_b.txt \
  --split 50

Best Practices

  1. Personalization - Use recipient name, purchase history
  2. Timing - Send during business hours (9-11 AM, 2-4 PM)
  3. Frequency - Don't spam (1-2 emails/week max)
  4. Mobile optimization - Keep subject < 40 chars
  5. Clear CTA - One primary action per email
  6. Unsubscribe - Always include unsubscribe link
  7. Compliance - Follow anti-spam laws (CAN-SPAM, GDPR)

Compliance

  • Include physical mailing address
  • Provide clear unsubscribe option
  • Honor unsubscribe within 10 days

    發現更多技能外掛,請訪問7w4.net。

  • Don't use deceptive subject lines
  • Keep records of consent

Troubleshooting

  • Low open rates: Test different subject lines, send times
  • High bounce rate: Clean email list, verify addresses
  • Spam complaints: Review content, reduce frequency
  • Low click rate: Improve CTA, make links prominent

🤖 AI 評測

這個技能文件寫得比較詳細,看起來功能挺豐富,但實際可用性不太理想。主要問題是郵件傳送功能無法真正使用,而且很多文件裡提到的功能在程式碼里根本沒實現。沒有提供示例資料,新手很難快速上手體驗。對於想直接使用的使用者來說,這個技能還不夠完善,需要等開發者把缺失的功能補上才行。

📊 多維度評分

適應性3.8
規範性3.7
有效性3.5
可靠性3.5
可信度4.4

📁 包含檔案 (6 個)

📄 README.md 944 B
📄 SKILL.md 4.3 KB
📄 _meta.json 140 B
📄 scripts/email_campaign.py 8.6 KB
📄 templates/promotional.txt 496 B
📄 templates/welcome.txt 616 B