Marketing analytics in the age of Big data and cloud computing: enhancing ROI through data-driven insights

Modern marketing analytics is an essential tool in big data and cloud computing environments to improve ROI and achieve business goals. This research analytically investigates the relationship between marketing expenditure, operating cost, pricing policies, and product performance, with data collected from 500 products in various categories. Using methods of econometrics, the work shows how marketing expenses and supply chain performance affect sales and other performance indicators, as well as the critical importance of discounts for consumers. The conclusions offer practical implications for managers to optimize ROI through the integration of data-driven marketing with operational performance. Furthermore, this research indicates the need for changes in cloud-based analytics platforms for real-time market adaptability. The study adds to the accumulating literature on big data and cloud computing for marketing effectiveness and provides a framework for future research on predictive modeling and real-time market adaptation.