When Shopbots Meet Emails: Implications for Price Competition on the Internet

36 Pages Posted: 20 Nov 2001

See all articles by Yuxin Chen

Yuxin Chen

New York University (NYU) - Department of Marketing

K. Sudhir

Yale School of Management; Yale University-Department of Economics; Yale University - Cowles Foundation

Date Written: February 2002

Abstract

The Internet has dramatically reduced search costs for customers through tools such as shopbots. The conventional wisdom is that this reduction in search costs will increase price competition leading to a decline in prices and profits for online firms. In this paper, we provide an argument for why in contrast to conventional wisdom, competition may be reduced and prices may rise as consumer search costs for prices fall. Our argument has particular appeal in the context of the Internet, where email targeting and the ability to track and record customer behavior are institutional features that facilitate cost effective targeted pricing by firms. We show that such targeted pricing can serve as an effective counterweight to keep average prices high despite the downward pressure on prices due to low search costs. Surprisingly, we find that the effectiveness of targeting itself improves as search costs fall; therefore prices and profits can increase as search costs fall.

The intuition for our argument is as follows: Consider a market where consumers are heterogeneous in their loyalty as well as their cost per unit time to search. In the brick and mortar world, it takes consumers a very large amount of time to search across multiple firms. Therefore few customers will search in equilibrium because the gains from search will be relatively small compared to the cost of search. In such a market, a firm will not be able to distinguish whether its customers bought from it due to their high loyalty or due to their unwillingness to search for low prices because of the high search cost.

On the Internet, the amount of time to search across multiple stores is minimal (say zero). Now irrespective of their opportunity cost of time, all consumers can search because the time to search is negligible. If in spite of this, a consumer does not search in this environment, she is revealing that her loyalty to the firm that she buys from is very high. The key insight is that as search becomes easy for everyone, then lack of search indicates strong customer loyalty and thus can be used as a proxy to segment the market into loyal and price sensitive segments.

Thanks to email technology, firms can selectively set differential prices to different customers, i.e. a high price to the loyal segment and a low price to the price sensitive segment, at relatively low cost. The increased competition due to price transparency caused by low search costs can thus be offset by the ability of firms to price discriminate between their loyal (price insensitive) customers and their price sensitive customers. In fact, we find that it can reduce the extent of competition among the firms and raise their profits. Most surprisingly, the positive effect of targeting on prices improves when search costs fall, because firms can learn more about the differences in customer loyalty, thus improving the effectiveness of targeted pricing. The effectiveness of targeted pricing however is moderated by the extent of opt-in by customers who give their permission for firms to contact them directly by email.

Our analysis offers interesting strategic insights for managers about how to address the competitive problems associated with low search costs on the Internet:

(1) It suggests that firms should invest in better technologies for personalization and targeted pricing so as to prevent the Internet from becoming a competitive minefield that destroys firm profitability. In fact we show that low search costs can facilitate better price personalization and can thus aid in improving the effectiveness of targeted pricing efforts.

(2) The analysis also offers guidelines for online customer acquisition efforts. The critical issue for competitive advantage is not in increasing market share per se, but in increasing the loyalty of customers. While a larger share of very loyal customers reduces competitive intensity, surprisingly a larger share of customers who are not very loyal can be a competitive disadvantage. In order for customer acquisition to be profitable, it should be accompanied by a superior product or service that can ensure high loyalty.

(3) Investing in online privacy initiatives that assures consumers that their private information will not be abused other than to offer them "deals" is worthwhile. Such assurances will encourage consumers to opt into firm mailing lists. This facilitates successful targeting which in turn ameliorates the competitive threats due to low search costs on the Internet.

(4) When the overwhelming majority of customers are satisfied with online privacy, the remaining privacy conscious customers who are not willing to pay a higher price to maintain their privacy will be left out of the market. While this may be of some concern to privacy advocates, it is interesting that total consumer welfare can be higher even if some consumers are left out of the market.

Our analysis captures the competitive implications of the interaction between two institutions facilitated by the Internet: Shopbots and Emails. But the research question addressed is more fundamental: What is the nature of competition in an environment with low costs for both consumer search and firm-to-consumer personalized communications? The strategic insights obtained in the paper may be beneficially applied even to offline businesses that can replicate such an environment. For example, offline firms could have websites on which they post prices allowing for easy price comparisons. They could also use tools such as frequency programs to create addressable databases that enable them to communicate with customers by direct mail and email (as many airlines and stores do).

Keywords: Internet Marketing, Search Costs, Shopbots, Targeted Marketing, Permission Marketing, Email Marketing

JEL Classification: M3, D4, L0

Suggested Citation

Chen, Yuxin and Sudhir, K., When Shopbots Meet Emails: Implications for Price Competition on the Internet (February 2002). Yale SOM Working Paper No. MK-10; Review of Marketing Science Working Paper No. 20021139, Available at SSRN: https://ssrn.com/abstract=291199 or http://dx.doi.org/10.2139/ssrn.291199

Yuxin Chen

New York University (NYU) - Department of Marketing ( email )

Henry Kaufman Ctr
44 W 4 St.
New York, NY
United States
212-995-0511 (Phone)
212-995-4006 (Fax)

K. Sudhir (Contact Author)

Yale School of Management ( email )

135 Prospect Street
P.O. Box 208200
New Haven, CT 06520-8200
United States
203-432-3289 (Phone)
203-432-3003 (Fax)

Yale University-Department of Economics ( email )

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New Haven, CT 06520-8268
United States

Yale University - Cowles Foundation ( email )

Box 208281
New Haven, CT 06520-8281
United States

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