Glossary
Comparing two versions of a message or flow to see which performs better.
A/B testing (split testing) is a method of comparing two variants — of a message, subject line, offer, or flow — by showing each to a portion of the audience and measuring which drives better results. The winner is then rolled out widely.
It replaces guesswork with evidence. Even small changes in wording, timing, or call-to-action can meaningfully shift conversion, and A/B testing reveals what actually works for your audience.
Consistent testing compounds into steadily improving campaigns over time.
A/B testing replaces opinion with data, steadily improving conversion through proven changes.
Defuser AI's analytics let you compare flow and broadcast variants to find winners — see WhatsApp marketing.
Comparing two versions of a message or flow to see which performs better.
A/B testing replaces opinion with data, steadily improving conversion through proven changes.
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