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Python#!/usr/bin/env python3
"""
Subject Line Generator
Generate compelling email subject lines
"""
import random
TEMPLATES = {
'urgency': [
"Last chance: {topic}",
"Don't miss out on {topic}",
"{topic} - Only 24 hours left",
"Urgent: {topic} ends soon"
],
'curiosity': [
"The secret to {topic}",
"What nobody tells you about {topic}",
"You won't believe this {topic}",
"Here's what happened with {topic}"
],
'benefit': [
"How to {topic} in 5 minutes",
"Get {topic} without the hassle",
"The easy way to {topic}",
"Finally: {topic} made simple"
],
'question': [
"Ready for {topic}?",
"Want to know about {topic}?",
"Struggling with {topic}?",
"Need help with {topic}?"
],
'personal': [
"{name}, check out {topic}",
"Special for you: {topic}",
"{name}, this is for you",
"Your exclusive {topic}"
]
}
def generate_subjects(topic, name=None, style='all'):
"""Generate subject line suggestions"""
results = []
styles = [style] if style != 'all' else TEMPLATES.keys()
for s in styles:
for template in TEMPLATES.get(s, []):
subject = template.format(topic=topic, name=name or 'there')
results.append({'style': s, 'subject': subject})
return results
if __name__ == '__main__':
topic = input('Enter topic: ')
subjects = generate_subjects(topic)
for s in subjects[:10]:
print(f"[{s['style']}] {s['subject']}")
info About This Tool
The Subject Line Generator creates compelling email subject lines using proven templates and psychological triggers. Boost your open rates with data-driven suggestions.
Subject Line Styles
- Urgency - Create FOMO with time-sensitive language
- Curiosity - Tease content to encourage opens
- Benefit - Lead with value and outcomes
- Question - Engage readers with direct questions
- Personal - Use personalization for connection
Best Practices
- Keep subject lines under 50 characters
- Avoid spam trigger words (FREE, URGENT, etc.)
- A/B test different styles
- Use preheader text to complement subject
- Match subject line to email content
Requirements
- Python 3.7+
- No external dependencies
Tip: The "curiosity" style typically performs best for cold outreach, while "benefit" works better for existing customers.
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