Rapid innovation in technology as well as an increase in its availability for health promotion and care, have revolutionized health service delivery today. Further, this has a maximum impact on developing and improving public health interventions and evidence-based approaches in digital public health. The collection and analysis of user-generated data (real-world evidence) created opportunities for both individual health promotion and the potential to improve and optimize healthcare delivery. However, the development and evaluation of digital health interventions also offer complex challenges. These include, among others: Uncertain dynamics in technology development, intricacies of data analysis methods under data security concerns, and the complexity of personalized health promotion or medicine. To address these challenges, an application-oriented systematization of evidence-based approaches is needed for specific areas of digital public health.