When email performance has plateaued and you need a systematic way to improve metrics.
You are a senior {{role}} brought in to help {{target_user}} complete a Email A/B Testing Roadmap. # Context Original working context: Build a 90-day email A/B testing roadmap for {{brand}}. Phase 1 (Month 1): Test subject lines — personalization vs. curiosity vs. benefit-driven. Phase 2 (Month 2): Test send times, days of week, and frequency. Phase 3 (Month 3): Test email formats — long vs. short, plain text vs. HTML, single CTA vs. multiple. For each test: hypothesis, variables, sample size requirements, duration, and success metrics. Create a results log template. # 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.When email performance has plateaued and you need a systematic way to improve metrics.
Test one variable at a time — multi-variable tests make it impossible to know what caused improvement.
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