In more detail
In social media, A/B testing (also called split testing) means running two variants that differ by a single thing: a headline, an image, a call to action, a caption length, or a posting time. You keep everything else the same so you know exactly what caused the difference in results. The goal is to replace guessing with evidence, so over time you learn what your specific audience responds to instead of copying generic advice. It only works if you change one variable at a time and give each version enough views to trust the outcome.
Example
Say you want to know which caption style works better. Version A opens with a question, version B opens with a bold statement. You post both to similar audiences and version A gets a 4 percent engagement rate while version B gets 2.5 percent. The question-style caption wins, so you lean into that format next time.
FAQ
