<ul><li>A/B testing, also known as split testing, is a method used to compare two versions of a feature, change, or marketing campaign to determine which performs better.</li><li>A/B testing eliminates guesswork and allows user behavior to guide decisions, making smarter, data-backed improvements.</li><li>Lenskart, an online eyewear retailer, used A/B testing to improve their 'Buy Now' page and significantly boosted conversions.</li><li>A/B testing ensures that every change is validated with real user data, leading to optimized decisions based on evidence.</li></ul>

Basics of A/B Testing

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