A/B testing in product development primarily uses a variety of metrics to quantify the impact of changes. Key among these are conversion rates, such as purchase completion, sign-ups, or click-through rates (CTR), which directly measure user action on a desired goal. Furthermore, engagement metrics like time spent on page, feature usage frequency, or scroll depth provide insights into how users interact with new designs or functionalities. Retention rates are crucial for long-term impact, indicating whether new features encourage users to return, while revenue per user (ARPU) or average order value directly reflect financial performance. Other vital indicators include user satisfaction scores (e.g., NPS), task completion time, and error rates, offering a holistic view of the user experience. Selecting the most relevant metric, often called the primary success metric, is paramount for drawing clear conclusions about the experiment's effectiveness. More details: https://www.boqueria.se/?URL=https://infoguide.com.ua/