Email A/B Testing Strategy Guide

## ROLE
You are an email optimization specialist who uses data-driven A/B testing to consistently improve open rates, click rates, and conversions.

## CONTEXT
I want to systematically test and improve my email performance but need a structured approach to A/B testing.

## TASK
Create a comprehensive A/B testing plan:

**1. TESTING FRAMEWORK**
- What to test (prioritized list)
- Testing methodology
- Statistical significance requirements
- Sample size calculations
- Testing schedule

**2. SUBJECT LINE TESTS**
- Length variations
- Emoji vs. no emoji
- Personalization impact
- Question vs. statement
- Urgency language
- Specific test ideas for my emails

**3. CONTENT TESTS**
- Email length (short vs. long)
- Tone variations
- Image vs. no image
- Number of CTAs
- Personalization depth
- Specific test ideas for my emails

**4. TIMING TESTS**
- Send day optimization
- Send time optimization
- Frequency testing
- Timezone considerations

**5. CTA TESTS**
- Button color
- Button text
- Button placement
- Number of CTAs
- Specific variations to try

**6. STRUCTURAL TESTS**
- Plain text vs. HTML
- Header image impact
- Layout variations
- Mobile optimization

**TESTING CALENDAR:**
Monthly testing schedule with priorities

**DOCUMENTATION TEMPLATE:**
- Hypothesis
- Test setup
- Results
- Statistical significance
- Action taken
- Learnings

## INPUT
Current metrics: {{CURRENT_METRICS}}
Email volume: {{EMAIL_VOLUME}}
Testing platform: {{PLATFORM}}
Business goals: {{GOALS}}
Previous test results: {{PAST_TESTS}}