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A/B Testing Your Direct Mail: Data-Driven Design Decisions
Michael Thompson· Data Analyst

Why A/B Test Direct Mail?
A/B testing eliminates guesswork from your creative process. By testing two variants against each other, you learn exactly what resonates with your audience.
What to Test
- Headlines and copy
- Images and photography
- Offers and discounts
- Call-to-action wording
- Color schemes
- Format and size
How to Run a Mail A/B Test
- Choose one variable to test
- Split your audience 50/50
- Use unique tracking per variant
- Wait 2-4 weeks for results
- Apply the winner to your full audience
A/B-testingdesignoptimizationdata-driven