International Journal of Science, Engineering and TechnologyAuthors: Dr. Sreenivas Dadigla, Associate Professor
Abstract: Business statistics are essential to contemporary digital marketing because they allow companies to gather, examine, and evaluate vast amounts of campaign and customer data. Marketers may optimize campaigns, enhance targeting, and increase return on investment (ROI) by using statistical techniques like descriptive analysis, regression, forecasting, hypothesis testing, and A/B testing. This study looks at how evidence-based decision making and digital marketing strategy are supported by business data. In order to facilitate data-driven decision-making, the study emphasizes the integration of statistical techniques with big data technologies, machine learning, and advanced analytics. Additionally, it examines real-world uses, difficulties, and upcoming developments in statistical marketing analysis. Results show that companies that employ statistical techniques successfully increase consumer engagement, enhance targeting, cut expenses, and get a greater competitive edge. Business statistics continue to be essential for converting unprocessed data into useful insights and strategic value as digital marketing grows more complex. Measurable interactions like clicks, impressions, conversions, and customer engagement are crucial to digital marketing. The quantitative basis required to transform these measurements into useful insights is provided by business statistics. Businesses employ statistical methods to better allocate resources, assess performance, and comprehend consumer behavior. The use of business statistics in digital marketing has advantages, but there are drawbacks as well, such as problems with data quality, privacy difficulties, and the requirement for specific analytical abilities. To prevent false conclusions and unproductive tactics, organizations must make sure that data is reliable, ethically gathered, and appropriately evaluated.
