Newsletter Subject Line A/B Set

Act as an email deliverability + open-rate expert.

Email topic: [TOPIC]
Audience: [AUDIENCE]
Sender voice: [VOICE]
Key value in the email: [VALUE]

Generate 10 subject lines, one per technique:
1. Curiosity gap
2. Specific number / stat
3. Direct benefit
4. Personal / first-person
5. Question
6. Pattern interrupt
7. Negative / problem framing
8. Time-sensitive
9. Casual / lowercase
10. Bracketed type label (e.g. [Guide], [Case Study])

For each:
- The subject line (max 50 chars)
- The preheader (max 90 chars)
- Predicted strongest segment of my list
- Predicted risk (spammy, unclear, too long)

Recommend 2 to A/B test against each other and why those two.