'A/B testing' in digital marketing refers to a method of comparing two versions of a webpage, email, or another marketing asset to determine which performs better. By randomly dividing traffic between the two versions, marketers can analyze user interactions, conversion rates, and other metrics to identify the most effective elements. This data-driven approach allows for optimization of marketing strategies and greater understanding of audience preferences, leading to improved engagement and sales.