A/B Testing is an experiment comparing two versions of a message, page, ad, or element to see which performs better.
A/B Testing is an experiment comparing two versions of a message, page, ad, or element to see which performs better. In email marketing, this term gives marketers, designers, developers, and business owners a precise way to talk about work that affects visibility, user experience, measurement, and revenue. A strong understanding of A/B Testing prevents teams from optimizing isolated tasks without knowing what business result they are supposed to support. The concept should always be applied with context: who the audience is, what problem they have, what action matters, how success will be measured, and how the work connects to the broader customer journey.
Example of A/B Testing
A business might use a/b testing to move a new subscriber from first interest to booked consultation. For example, someone who downloads a local SEO checklist could receive a welcome email, educational follow-ups, a case study, and a final call-to-action to schedule a strategy session.
Why A/B Testing matters
It matters because email is one of the few channels a business can own directly. Strong email fundamentals improve trust, deliverability, segmentation, and long-term lead nurturing.
Related terms
send time optimization, BIMI, DMARC, DKIM, SPF
Frequently Asked Question
What does A/B Testing mean?
A/B Testing means an experiment comparing two versions of a message, page, ad, or element to see which performs better. It matters in email marketing because it helps teams make clearer decisions, measure the right outcomes, and connect marketing work to business goals.