Psychologists have long been intrigued by how humans and nonhuman primates process magnitudes such as “how far, how fast, how much, how long, and how many.” This fascination perhaps stems from the fact that magnitude estimations of space, time, and number form the bedrock of most of the decisions that we make in daily life. Decisions about how many cookies to eat, how many payments to make, how many days to wait for a product, all have one thing in common: they require a fundamental ability to be able to discern discriminable elements of the type of stimulus in question. Although distinguishing one from many is an ability that is shared by humans and nonhuman primates, what makes research in this area particularly intriguing is the layer of complexity that arises when we take our ability to mathematically represent different quantities in different units (e.g., 1 month, 4 weeks, 30 days) and map it on to this more fundamental ability. The mapping of this numerical system onto a more generalized magnitude representational system allows us to raise the basic question: do magnitude estimates change when they are represented in a different unit or metric? The current collection of articles on numerosity and consumer behavior (appearing over the last two years) complements and adds to a growing body of work that has already appeared in JCR. The articles start with the assumption that a multitude of physical stimuli, regardless of the domain, can be represented in memory using a magnitude representational system. However, the overlay of a verbal, representational system that draws on our knowledge of mathematical symbols and provides a common basis for interpreting these quantities can sometimes produce effects that skew our ability to estimate things correctly. Thus, although there is no rational reason to suppose that a week might differ from 7 days, it does. The reasons for the occurrence of this numerosity effect are still unclear. Nevertheless, the effect leads to errors in estimation that affect not only how we make progress in goals that are set but also affect, at a more fundamental level, how we perceive things. The first two papers in this collection document this. The first article, by Pandelaere, Briers, and Lembregts, shows that expressing an attribute in a different unit leads to greater perceived difference if the unit is on an expanded or finer-grained scale. Thus, for example, consumers see a greater difference between products that express warranty information in months (84 months) as opposed to years (7 years). The effects are attributed to a tendency for people to focus on the numbers rather than the units in which the quantity is represented. One consequence of this tendency is that as the perceived difference increases, consumers are more likely to switch to the better quality option. The authors show the implications of this for decision making by tracking how consumers switch in a variety of domains that range from product decisions to picking a healthy snack. Interestingly, drawing attention to the possibility that this estimate can be represented in different units eliminates the effect. The second article in this series, by Bagchi and Li, examines the implications of scales that use a greater number of units in the context of loyalty programs (e.g., “earn 10 points per dollar spent and claim your reward when you reach 1,000 points” vs. “earn 1 point per dollar spent to claim a reward when you reach 100 points”). In their studies, not only does the scale representing the distance to be traveled to get the reward vary but also the step sizes to get there. At issue, then, is what consumers use in order to infer their goal progress relative to that of another person. Their findings suggest that when the step size information is ambiguous, goal progress is inferred largely from the magnitude of the scale. Consumers perceive themselves to be further away relative to someone else when the scale consists of a