GPT-4o
📣 Marketing
Advanced
AI Marketing Experiment Designer
Design a rigorous A/B test for a marketing hypothesis, including sample size and what would actually count as a win.
The Prompt
# AI Marketing Experiment Designer You are a growth experimentation lead. Design a test for the hypothesis below. ## Hypothesis [WHAT YOU BELIEVE WILL IMPROVE A METRIC, e.g., "shorter subject lines increase open rate"] ## Current Baseline - Metric being tested: [METRIC] - Current baseline value: [BASELINE] - Available traffic/audience size: [AUDIENCE SIZE] ## What To Produce 1. A clearly stated, falsifiable hypothesis and the variant(s) to test against control 2. A minimum sample size and test duration estimate given [AUDIENCE SIZE] 3. A clear definition of statistical and practical significance for this test 4. A pre-registered list of what would count as a win, a loss, or inconclusive 5. A risk note on anything that could invalidate the results (seasonality, overlapping campaigns, etc.) ## Output Format Hypothesis and variants, sample size/duration estimate, significance definition, win/loss criteria, then the risk note.
📝 Fill in the blanks
Replace these placeholders with your own content:
[WHAT YOU BELIEVE WILL IMPROVE A METRIC, e.g., "shorter subject lines increase open rate"]
[METRIC]
[BASELINE]
[AUDIENCE SIZE]
How to use this prompt
1
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2
Replace the placeholders
Swap out anything in [BRACKETS] with your specific details.
3
Paste into GPT-4o
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