This paper examines search across competing electronic commerce sites. By analyzing panel data from over 10,000 Internet households and three commodity-like products (books, 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 any time-varying dynamics that may exist causing 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, Eric, Wendy Moe, Peter Fader, and Steven Bellman. "On the Depth and Dynamics of Online Search Behavior." Management Science 50, no. 3 (March 2004): 299-308.
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