The scientific method typically involves articulating research questions, identifying a method to answer the questions, and communicating findings through articles to the research community and the wider world (Kuhn 1970). At the Journal of Marketing (JM), this "knowledge-first" process ensures that research focuses on addressing real and contemporary marketing phenomena (Van Heerde et al. 2021), is conducted properly, and fosters interactions within the research ecosystem (Sridhar et al. 2023).Recognizing the limitations of a narrow knowledge-first approach, scholars also pursue alternate paths to contribution. These paths include empirics-first approaches (Golder et al. 2023), a shift to observable-to-construct links (Lynch, Van Osselaer, and Torres 2023), and a focus on conceptual contributions (Kindermann et al. 2023). In Kuhnian terms, these approaches are compatible with "normal science" (Kuhn 1970). Each can produce valuable insight, correct past theoretical or empirical deficiencies, add nuance to existing frameworks, and clarify relationships in fertile, proven paradigms.However, there may be cases where the magnitude of marketplace disruptions warrants a scholarly response that is similarly disruptive in magnitude. Specifically, technological, economic, or societal disruptions to the marketplace can generate anomalies, that is, patterns that cannot be explained by past theory. Typical research approaches may fall short with respect to disruption-driven anomalies: past theories may not offer us a language appropriate to articulate meaningful anomaly-related research questions, existing methods may be ill-fitted to the new phenomenon, or assumptions that were essential for past theories may no longer hold.In the face of such disruption, we propose the opportunity to take an "anomaly-first" approach to marketing research. In this approach, research is inspired by disruption-driven gaps between theory and practice or between theory and evidence, the recognition that disruptions have created challenges to foundational assumptions, or the emergence of new disruption-related phenomena for which extant theories cannot make valid predictions. If we take disruption-driven anomalies as our starting place, we can drive toward the development of new marketing paradigms, 1 which we