-
Article published on Daniels Insights, thought leadership from Purdue’s Business School. https://business.purdue.edu/daniels-insights/ Some of the most valuable opportunities in business are also the hardest to find. Fraud cases make up a tiny fraction of transactions. High-value B2B prospects are buried in massive databases. Niche product adopters hide among mainstream buyers. In health care, rare disease…
-
Visualization of social network data has provided an interesting approach to understand the diffusion of consumer information among customer network. In the following, I provide a step by step instruction of visualizing Nike’ s famous hash tag: #justdoit. I first collect all recent tweets that contain the hash tag of “justdoit” from Twitter. In the…
-
A/B testing is a randomized experiment with two variants, A and B. Such experiments are commonly used in web development, email marketing, and advertising design. In web development case, you define a control or original page (page A) and an experiment or variation (page B) of the original page to test against. The goal of the test is…
-
When a pharmaceutical company sends a representative to your doctor’s office to promote a new or existing medication, is that a benefit to you as a patient? Would restricting those visits bring greater fairness to the pharmaceutical industry—or prevent your doctor from being well-informed about treatment options? Those are some of the questions that UConn…
-
Dr. Qiang Liu is fascinated with the world of machine learning and its effects on the future of advertising. He’s an Assistant Professor of Management at Purdue’s Krannert School of Management and a researcher with a highly analytical background. Liu earned a double major in Information Management and Economics at Peking University and has advanced degrees from UC…
Qiang Liu 劉強
Quantitative Marketing in Healthcare and the Digital Economy
Qiang Liu 劉強 