Data science is a multidisciplinary discipline that extracts information and conclusions from a range of structured and unstructured data using machine learning methods, big data, text mining tools, and scientific approaches. The use of data sciences, which aid in the extraction of knowledge and decision-making and useful insights from enormous datasets in the context of digital marketing, has increased significantly over the past ten years. However, despite these advancements, there remains a lack of relevant information about how data sciences should be managed in digital marketing. In this study, we examine the connection between data science applications and digital marketing through its framework, methods, and performance metrics. This study aims to examine the degree of correspondence between the content of Real-me Mobile’s Twitter advertising campaigns and the opinions that users express about the product in their tweets. To do this, we analyzed Real-me Mobile’s Twitter campaigns using STM and contrasted tweets from the official corporate accounts with those from all other accounts used by users. The results indicate that there appears to be a correlation between the messaging conveyed by Real-me Mobile’s advertising efforts regarding the product and the opinions that people have about it.