B Tests, often known as A/B testing or split testing, are a method used by entrepreneurs to compare two versions of a product, service, or marketing campaign to determine which one performs better. These tests are essential for making data-driven decisions and minimizing risks in the early stages of a startup. By systematically comparing two variants, businesses can gather empirical data and insights on what works best for their target audience.