معرفی
Dr. Ipshita Ray serves as Associate Professor of Marketing and Graduate Program Chair at Pace University's Lubin School of Business in New York City. With faculty tenure since 2005, she maintains an active presence in academic organizations including the American Marketing Association, Association of Consumer Research, Academy of Marketing Science, and Academy of Business Research.
Her educational credentials include:
- PhD in Marketing Communications from the University of Connecticut, Storrs, CT
- MA in Marketing Communications from the University of Connecticut, Storrs, CT
Dr. Ray's research investigates customer decision-making processes, relationship management dynamics, and digital-physical shopping behavior intersections. Her work integrates self-identity algorithms with social community analysis, published in journals like Journal of Business Research and Journal of Strategic Marketing. She pioneered analytics integration into Pace's curriculum since 2015, teaching Python, Tableau, and Google Analytics across graduate and undergraduate courses.
Publication trends reveal an evolution from health marketing (2004) toward digital consumer behavior analytics (2010-2015), with consistent focus on customer retention metrics and brand valuation frameworks. Her methodology shifted toward Rule Developing Experimentation (RDE) applications while maintaining behavioral psychology foundations.
Her accolades include:
- Kenan Excellence in Teaching Award (2018) - Pace University's highest teaching honor
- Advertising Education Foundation National Award (2008)
- Outstanding Professor of the Year at Fairfield University (2002)
Dr. Ray advises Lubin Graduate Marketing Association and Advertising Club while directing industry partnerships with Publicis, GroupM, and IBM. Her annual analytics competitions have secured 24+ job placements with visa sponsorships for international students. She currently develops an analytics advisory council to enhance curriculum and professional training.
Her teaching laboratory integrates Nielsen @Plan, SPSS, and MRI data tools with real-time industry projects, creating a pipeline for students into global marketing analytics careers through structured corporate collaborations.
