Which of the following is an example of a discrete metric?

• A. Conversion rate
• B. Average order value
• C. Time on page
• D. Revenue per user

Answer: (A)

Understanding how discrete metrics differ from continuous ones in e-commerce analytics helps you see why this option fits as discrete. Discrete metrics come from counting events and tend to be whole-number quantities. Conversion rate is built from two integer counts—conversions and visits—so its numerical backbone is based on discrete counts. The rate itself is usually shown as a percentage, but that percentage derives from those counts, making it anchored in discrete data rather than a true continuous measurement.

In contrast, time on page measures duration, which can take any value along a continuum (seconds, milliseconds, etc.), and average order value as well as revenue per user are monetary amounts that can vary smoothly across a wide range. These are typically treated as continuous metrics.

So conversion rate, being derived from counts of discrete events, is the example of a discrete metric, whereas the others represent continuous measurements.