Measurement-based care, that is, incorporating data-informed decision support for therapists into psychological therapy, has undergone significant advancements over the past 2 decades. Technological innovations such as computerized data assessment and feedback tools have facilitated its widespread adoption across various settings. For instance, clinicians can utilize psychometric data to personalize therapeutic approaches, strategies, or modules and track a patient's response to therapy in real time (e.g., Lutz, Schwartz, & Delgadillo, 2022). Furthermore, new algorithm-based clinical support tools used within measurement-based care can optimize treatment for such patients at risk for treatment failure. Consequently, measurement-based care is evolving into a data-informed and precision psychological therapy concept that can be viewed as a low-intensity transtheoretical adjunct to evidence-based treatments. It can be integrated at multiple care points into clinical practice regardless of the clinical modality, manual, or program used in a given health care system. Therefore, it emerges as an important component of clinical competence, practice, and training, akin to continuous monitoring of physical health indicators (e.g., insulin, fever, or blood pressure). In this viewpoint article, we summarize the core concepts of data-informed psychological therapy that customizes individual psychological interventions to meet specific patient needs. We also explore implications and future steps to integrate this approach into clinical practice and further advance precision mental health care. (PsycInfo Database Record (c) 2024 APA, all rights reserved).