A/B Testing
A/B testing is an experiment where two versions of a page, element, or experience are shown to different segments of visitors simultaneously to determine which version performs better against a defined metric.
Without A/B testing, every design and copy decision is based on intuition or best practices borrowed from other stores. What works for one audience may fail for another. A/B testing replaces guesswork with evidence specific to your customers, your products, and your brand. For e-commerce stores, even a small uplift in conversion rate compounds into significant revenue over time. A 0.3% improvement on a store doing $500K in annual revenue translates to $1,500 in additional sales, and that is from a single test.