Wil Stanton

Background

About Wil Stanton

I am a passionate marketing, analytics, and decision science professional with 45 years of experience in research, consulting, and higher education. I am a cross-functional collaborative team player, My research and consulting have been focused in the areas of ad testing, consumer behavior/insights, A/B testing, competitive analysis, business intelligence, market segmentation, product/brand development; and instructional pedagogy. I have applied advanced predictive analytics and data mining techniques using R, Python, SAS, and SPSS. The statistical tools I regularly use with Big Data include unsupervised machine learning; cluster analysis; decision trees; neural networks; ANOVA, MANOVA, multiple regression; logistic regression; discriminant analysis; uplift and churn models; simulations; data visualization; data mapping; and ensemble models. I have been a member of the graduate faculty at one master's and four doctoral (R1) granting universities. Courses I've taught during my career include doctoral research methods; predictive modeling; data mining; advanced marketing strategy; competitive intelligence; principles of marketing; consumer behavior; advertising management, retailing; new product development; and marketing research. I have also taught courses and seminars globally in marketing research and data analytics to more than 3,500 professionals of major multinational corporations. I hold a doctorate in Decision Science with an emphasis in Applied Statistics and Strategic Decision Making with a minor in marketing research and related fields in economics and quantitative methods. I have published 2 books and 51 refereed scholarly research journal articles and conference proceedings. Journals publishing my research include Applied Marketing Analytics Journal, Decision Sciences Journal of Innovative Education, Journal of Business Research, Journal of the Academy of Marketing Science, International Journal of Management, and World Review of Business Research.