The aim of the current study is twofold. First, it investigates the influencing factors of runners’ sports apparel value at a running event. Second, the potential value of observational data in the socioeconomic field is investigated, as this study combines data retrieved by a survey and by visually scanning pictures of event runners. The results demonstrate that visual data gathering methods contribute to explaining sports apparel usage and consumption. For example, it is found that runners who wear a shirt of the running event spent less money on their running shoes and overall sports apparel. From a methodological point of view, it is shown that observation leads to no nonresponse and thus corrects for selection bias. Other advantages (e.g., less selection bias, less recall bias, time-efficiency for research subject, potential automatic computer analysis in future) and disadvantages (e.g., technical, labor intensiveness for researcher, privacy) of visual data are discussed.