To deal with the chronic disease issues of the 21st century, healthcare must increasingly focus on enhancing wellness and minimizing transition to disease. Lee Hood and I describe such a data-driven approach to quantifying health throughout life in our new book The Age of Scientific Wellness (Belknap/Harvard Press), which has resulted in generating longitudinal, multi-omic data sets around which we can better understand the health implications of the microbiome. Making microbiome insights actionable to improve people’s health via products and services is central to health transformation. I will discuss how longitudinal ‘deep phenotyping’ data has been used to: (1) inform how our gut microbiome and blood metabolites are intricately related; (2) how the gut microbiome becomes more unique to each individual in healthy aging (3) how the microbiome predicts both efficacy and side effects of statins; (4) how microbiome differences were associated with weight loss success or failure in a personalized wellness program; and (5) how new technological advances such as Thorne’s ‘microbiome wipe’ and OneDraw at-home blood collection device are making user experiences much easier, accelerating broader adoption. Taken together, such approaches hold tremendous promise for the future of health optimization and preventive healthcare contextualized to each person’s unique microbiome, genome, biomarkers, lifestyle, and health history.