Abstract:Offline retailers face trading area and shelf space constraints, so they offer products tailored to the needs of the majority. Consumers whose preferences are dissimilar to the majority—”preference minorities”—are underserved offline and should be more likely to shop online. The authors use sales data from Diapers.com , the leading U.S. online retailer for baby diapers, to show why geographic variation in preference minority status of target customers explains geographic variation in online sales. They find th… Show more
“…After nearly two decades of research on the economic consequences of the Internet, two findings have consistently appeared in the literature: the Internet can overcome geographic isolation (Balasubramanian 1998, Forman et al 2009, Choi and Bell 2011 and search costs are lower online (Bakos 1997, Baye et al 2009. The geographic isolation results emphasize both physical travel costs and spatial dimensions of preferences.…”
W e explore how Internet browsing behavior varies between mobile phones and personal computers. Smaller screen sizes on mobile phones increase the cost to the user of browsing for information. In addition, a wider range of offline locations for mobile Internet usage suggests that local activities are particularly important. Using data on user behavior at a (Twitter-like) microblogging service, we exploit exogenous variation in the ranking mechanism of posts to identify the ranking effects. We show that (1) ranking effects are higher on mobile phones suggesting higher search costs: links that appear at the top of the screen are especially likely to be clicked on mobile phones and (2) the benefit of browsing for geographically close matches is higher on mobile phones: stores located in close proximity to a user's home are much more likely to be clicked on mobile phones. Thus, the mobile Internet is somewhat less "Internet-like": search costs are higher and distance matters more. We speculate on how these changes may affect the future direction of Internet commerce.
“…After nearly two decades of research on the economic consequences of the Internet, two findings have consistently appeared in the literature: the Internet can overcome geographic isolation (Balasubramanian 1998, Forman et al 2009, Choi and Bell 2011 and search costs are lower online (Bakos 1997, Baye et al 2009. The geographic isolation results emphasize both physical travel costs and spatial dimensions of preferences.…”
W e explore how Internet browsing behavior varies between mobile phones and personal computers. Smaller screen sizes on mobile phones increase the cost to the user of browsing for information. In addition, a wider range of offline locations for mobile Internet usage suggests that local activities are particularly important. Using data on user behavior at a (Twitter-like) microblogging service, we exploit exogenous variation in the ranking mechanism of posts to identify the ranking effects. We show that (1) ranking effects are higher on mobile phones suggesting higher search costs: links that appear at the top of the screen are especially likely to be clicked on mobile phones and (2) the benefit of browsing for geographically close matches is higher on mobile phones: stores located in close proximity to a user's home are much more likely to be clicked on mobile phones. Thus, the mobile Internet is somewhat less "Internet-like": search costs are higher and distance matters more. We speculate on how these changes may affect the future direction of Internet commerce.
“…Sun (2011) shows that product ratings are more informative for niche consumers when presented together with the variance of ratings, as is frequently the case in online retail. Choi and Bell (2011) argue that e-commerce attracts preference minorities who are not well served by brick and mortar stores due to the constraints of physical distribution.…”
I examine the role of word of mouth in consumer's product discovery process and its implications for the firm. A monopolist supplies an assortment of horizontally differentiated products and consumers search for a product that matches their taste by sampling products from the assortment or by seeking product recommendations from other consumers. I analyze the underlying consumer interactions that lead to the emergence of word of mouth, examine the optimal pricing and assortment strategy of the firm, and explain the impact of word of mouth on the concentration of sales within the assortment. The model provides a rationale for the long tail phenomenon, explains recent empirical findings in online retail, and is well suited for product categories such as music, film, books, and video game entertainment.
“…Offline retailers tend to allocate their scarce shelf space to the dominant preferences in that market, so customers whose preferences are not representative may not find products that suit their needs (Anderson 1979;Waldfogel 2003). Choi and Bell (2011) show that, as a result, preference minorities are more likely to purchase from the Internet, and are less price sensitive when doing so (see also Brynjolfsson, Hu and Rahman 2009). Preference minorities also help to explain why we see a longer tail of niche items purchased in Internet channels, compared to other retail channels (Brynjolfsson, Hu and Smith 2003;Brynjolfsson, Hu and Simester 2011).…”
We show that some customers, whom we call 'Harbingers' of failure, systematically purchase new products that flop. Their early adoption of a new product is a strong signal that a product will fail -the more they buy, the less likely the product will succeed. Firms can identify these customers either through past purchases of new products that failed, or through past purchases of existing products that few other customers purchase. We discuss how these insights can be readily incorporated into the new product development process. Our findings challenge the conventional wisdom that positive customer feedback is always a signal of future success.
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