Strategic Management of Advertising Using National Broadband IoT and Machine Learning

The development of Integrated Marketing Communications (IMC) in reaction to the fierce competition in modern marketplaces is a prime illustration of how distance marketing has evolved. IMC emerged as a marketing powerhouse around the turn of the century to provide a unified brand message across all promotional channels. This study suggests a new strategic architecture called IMC-NB-IoTML that combines IMC with NB-IoT and AI to improve ad management. This study evaluates existing corporate applications that combine IoT and machine learning and identifies obstacles to IMC's progress. Companies may use this architecture to their advantage by evaluating data collected from IoT devices and incorporating it into their sales and marketing campaigns to better understand customer behaviour. Machine learning takes this strategy to the next level by facilitating more accurate categorization of consumer data and enhancing the relevance and targeting of advertising campaigns. The simulation findings show that NB-IoT is the best strategy for making precise data-driven marketing decisions because it surpasses other recall, precision, and F-measure approaches. In today's linked data-rich environment, this article examines several NB-IoT and machine learning technologies inside an IMC framework, demonstrating how they can improve and enhance strategic advertising management.