Cold Email A/B Test Designer

M

Marcus Lee

@marcus-lee

·

Design systematic A/B tests to optimize cold email performance.

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Design A/B tests for cold email optimization.

Current email: {{current_email}}
Response rate: {{response_rate}}
Target persona: {{persona}}

Create A/B testing plan:

1. Subject Line Tests
   - Variant A approach
   - Variant B approach
   - Hypothesis for each
   - Success metric

2. Opening Line Tests
   - Personalization variants
   - Hook style variants
   - Expected impact

3. Value Proposition Tests
   - Pain-focused version
   - Outcome-focused version
   - Social proof version

4. Call to Action Tests
   - Soft ask version
   - Direct ask version
   - Choice-based version

5. Test Structure
   - Sample size requirements
   - Duration of each test
   - Control vs variant splits

6. Analysis Framework
   - Metrics to measure
   - Statistical significance threshold
   - Implementation of winners

Details

Category

Communication

Use Cases

email optimizationA/B testingoutreach improvement

Works Best With

gpt-4oclaude-sonnet-4
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Cold Email A/B Test Designer | Promptsy