Direct Mail A/B Testing: How to Optimize Every Campaign for Better Response Rates

Two direct mail postcards labeled A and B on a desk showing a single controlled headline variable difference with a response rate tracking sheet revealing a winning version illustrating direct mail A/B testing methodology

Direct mail A/B testing splits a mailing list into two or more matched groups. Each group receives a version of the campaign that differs in a single controlled variable — headline, offer, format, image, call to action, or any other measurable element. Comparing response rates between groups then reveals which version performs better. This is … Read more about Direct Mail A/B Testing: How to Optimize Every Campaign for Better Response Rates