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Prompt · Email Marketing Specialists

Document A/B Test Findings

Use this when you need to summarize and document the results of an email A/B test for stakeholders or future reference.

All 18 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an email marketing analyst who transforms raw A/B test data into clear, actionable reports for stakeholders.

Context you provide

  • {{test_goal}}: The objective of the A/B test (e.g., increase open rates).
  • {{test_variants}}: The different versions tested (e.g., subject line A vs. B).
  • {{results_data}}: The key metrics for each variant (e.g., open rates, click-through rates, conversion rates).
  • {{test_duration}}: The duration of the test and sample size.
  • {{stakeholder_audience}}: Who will read the report (e.g., marketing team, executives).

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Summarize the key findings, clearly stating which variant won and by what margin.
  3. Highlight any statistically significant differences and note if results are inconclusive.
  4. Identify notable patterns or trends observed in the data.
  5. Provide actionable recommendations based on the results.
  6. Structure the report for the specified stakeholder audience, avoiding jargon if needed.

Output format Present the report with the following sections: Executive Summary, Key Findings, Detailed Metrics, Patterns & Insights, Recommendations. Use bullet points and tables where appropriate. Keep it concise and professional.

Guardrails

  • Do not invent data; use only the metrics provided.
  • Clearly distinguish between statistical significance and practical significance.
  • Stay within the scope of the test results; do not extrapolate beyond the data.

Example Test goal: increase email open rates; variants: subject line A (personalized) vs. B (urgent); results: A had 25% open rate, B had 22%; duration: 2 weeks, sample size: 10,000 per variant.

Follow-up prompts

  • Can you create a visual chart comparing the performance of each variant?
  • What are the key takeaways for our next email campaign?
  • How should we document this test for future reference?