MediaScience is the leading provider of lab-based media and advertising research, incorporating a range of neuro-measures including biometrics, facial expression analysis, eye tracking, EEG, and more. With state-of-the-art labs in New York, Chicago, and Austin, MediaScience is discovering actionable insights in advertising, technology, media, and consumer trends.
Dr. Duane Varan, the global authority of neuromarketing research, founded Audience Labs (formerly the Interactive Television Research Institute) during his tenure at Murdoch University in Perth, Australia, in 2001. In 2005, he launched the Beyond : 30 Project, a consortium exploring the changing media and advertising landscape, and in 2008, he was approached by Disney Media Networks to set up a dedicated custom research lab on a broader scale – and so MediaScience was born. Though he officially left Murdoch in 2015, he continues to maintain some research links with the University of South Australia and has been widely recognised for his innovative contributions to teaching and the neuromarketing industry as evidenced by a long list of awards and over 90 published academic papers in his field.
Below is an abstract from a paper Dr. Varan oversaw about the On the Depth and Dynamics of Online Search Behavior from the Management Science.
This paper examines search across competing e-commerce sites. By analyzing panel data from over 10,000 Internet households and three commodity-like products (books, compact discs (CDs), and air travel services), we show that the amount of online search is actually quite limited. On average, households visit only 1.2 book sites, 1.3 CD sites, and 1.8 travel sites during a typical active month in each category. Using probabilistic models, we characterize search behavior at the individual level in terms of (1) depth of search, (2) dynamics of search, and (3) activity of search. We model an individual’s tendency to search as a logarithmic process, finding that shoppers search across very few sites in a given shopping month. We extend the logarithmic model of search to allow for time-varying dynamics that may cause the consumer to evolve and, perhaps, learn to search over time. We find that for two of the three product categories studied, search propensity does not change from month to month. However, in the third product category we find mild evidence of time-varying dynamics, where search decreases over time from already low levels. Finally, we model the level of a household’s shopping activity and integrate it into our model of search. The results suggest that more-active online shoppers tend also to search across more sites. This consumer characteristic largely drives the dynamics of search that can easily be mistaken as increases from experience at the individual level.
Johnson, E.J., Moe, W.W., Fader, P.S., Bellman, S., & Lohse, G.L. (2004). On the Depth and Dynamics of Online Search Behavior. Management Science, 50 (3), 299-308. DOI: 10.1287/mnsc.1040.01941