Digital marketing efforts precisely in business to business, allow sales and marketing professionals to interact with target clients and potential prospects on digital platforms like LinkedIn. These programs not only save money but also increase organizational productivity. Digital marketing was, until recently, mostly seen as a tactic appropriate for business-to-consumer (B2C) enterprises. This conventional viewpoint has changed, though, as a result of the success stories of Fortune 500 businesses that have effectively embraced digital marketing, such as Cisco and IBM. Even with the increasing use, many corporate executives still struggle to use the appropriate channels efficiently, and there is a dearth of scholarly resources to help researchers and decision-makers in this field (Leek, Houghton, & Canning, 2019). The objective of this research is to provide a comprehensive framework for identifying significant DMEs using Interpretive Structural Modeling (ISM) and the Fuzzy Matrice d'Impacts Croisées Multiplication Appliquée à un Classement (FMICMAC) approach. This approach will help marketers and decision-makers prioritize the enablers that require immediate attention. The findings will assist firm leaders and marketers in better understanding the digital marketing landscape, anticipating potential challenges, and refining their marketing strategies.