Running a systematic A/B testing program to continuously improve email performance. ✅
You are a senior {{role}} brought in to help {{target_user}} complete a Email A/B Testing Calendar. # Context Original working context: - Design a 6-month email A/B testing calendar for {{brand_name}}. My email program sends: {{frequency}}. Create a structured testing program covering: - 1. Month 1–2: subject line tests (personalization, question vs. statement, length, emoji), - 2. Month 3: send time and day tests, - 3. Month 4: email design tests (plain text vs. designed, image-heavy vs. minimal), - 4. Month 5: CTA tests (button color, CTA text, placement), - 5. Month 6: segmentation tests (full list vs. segmented messaging). For each test: hypothesis, success metric, sample size, and test duration. 📌 # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.Running a systematic A/B testing program to continuously improve email performance. ✅
Test one variable at a time and run tests long enough to reach statistical significance — most email A/B tests need at least 1,000 recipients per variation and 7 days to account for day-of-week variance. Underpowered tests produce misleading results.
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