It is important for marketers to extract information about competition from data about choices. However, competition cannot be measured directly. Instead, one must infer competitive influences from data patterns. Often this can be quite difficult. This dissertation studies two cases of competitive inference. In the first, we estimate the effect of competition on rural healthcare outreach in Iowa. In the second, we use consideration set data to understand brand competition in the automobile market.