把实验追踪到长期使用

英文原文

One caution about A/B testing tools is that for all their ease of implementation, the data they provide is somewhat limited, because these tools rely on surface-level metrics, such as which button gets more clicks, rather than whether the people clicking the button ultimately become lasting users. Anyone who has clicked on an irresistible news headline only to be disappointed by the article can understand how a “click” is a poor indicator of long-term customer loyalty. In order to solve this problem, it’s essential that your data analytics can track the participants in any given A/B test from click-through to long-term use.

中文译文

使用 A/B 测试工具时有一点需要注意：尽管它们很容易实施，提供的数据却有些局限，因为这些工具依赖表层指标，例如哪个按钮获得更多点击，而不是点击按钮的人最终是否成为长期用户。任何被诱人的新闻标题吸引、读完文章却感到失望的人，都能理解为什么一次“点击”并不能很好地反映客户的长期忠诚度。要解决这个问题，数据分析必须能够追踪任一 A/B 测试中的参与者，从点击一直追踪到长期使用。