67 research outputs found

    "The Best Price You'll Ever Get" The 2005 Employee Discount Pricing Promotions in the U.S. Automobile Industry

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    During the summer of 2005, the Big Three U.S. automobile manufacturers offered a customer promotion that allowed customers to buy new cars at the discounted price formerly offered only to employees. The initial months of the promotion were record sales months for each of the Big Three firms, suggesting that customers thought that the prices offered during the promotions were particularly attractive. In fact, such large rebates had been available before the employee discount promotion that many customers paid higher prices following the introduction of the promotions than they would have in the weeks just before. We hypothesize that the complex nature of auto prices, the fact that prices are negotiated rather than posted, and the fact that buyers do not participate frequently in the market leads customers to rely on "price cues" in evaluating how good current prices are. We argue that the employee discount pricing promotions were price cues, and that customers responded to the promotions as a signal that prices were discounted.

    $1000 Cash Back: Asymmetric Information in Auto Manufaturer Promotions

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    Automobile manufacturers make frequent use of promotions that give cash-back payments. Two common types of cash-back promotions are rebates to customers, which are widely publicized to potential customers, and discounts to dealers, which are not publicized. While the payments nominally go entirely to one party or the other, the real division of the manufacturer-supplied surplus between dealer and customer depends on what price the two parties negotiate. These two types of promotions thus form a natural experiment of the effect of information asymmetry on bargaining outcomes: in the customer rebate case, the parties are symmetrically informed about the availability of the manufacturer-supplied surplus, while in the dealer discount case, the dealer will generally have an informational advantage. The aim of this paper is to compare, in appropriate settings and with appropriate controls, the price outcomes of transactions conducted under these two types of promotions in order to empirically quantify the effect of this information asymmetry. We show that customers obtain approximately 80% of the surplus in cases when they are likely to be well-informed about the promotion (customer rebate), and approximately 35% when they are likely to be uninformed (dealer discount). For a promotion of average size, this difference translates to customers being worse off by $500 when they do not know that the promotion is being offered.

    How the Internet Lowers Prices: Evidence from Matched Survey and Auto Transaction Data

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    There is convincing evidence that the Internet has lowered the prices paid by some consumers in established industries, for example, term life insurance and car retailing. However, current research does not reveal much about how using the Internet lowers prices. This paper answers this question for the auto retailing industry. We use direct measures of search behavior and consumer characteristics to investigate how the Internet affects negotiated prices. We show that the Internet lowers prices for two distinct reasons. First, the Internet helps consumers learn the invoice price of dealers. Second, the referral process of online buying services, a novel institution made possible by the Internet, also helps consumers obtain lower prices. The combined information and referral price effects are -1.5%, corresponding to 22% of dealers' average gross profit margin per vehicle. We also find that buyers with a high disutility of bargaining benefit from information on the specific car they eventually purchased while buyers who like the bargaining process do not. The results suggest that the decisions consumers make to use the Internet to gather information and to use the negotiating clout of an online buying service have a real effect on the prices paid by these consumers.

    Consumer Information and Price Discrimination: Does the Internet Affect the Pricing of New Cars to Women and Minorities?

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    Mediating transactions through the Internet removes important cues that salespeople can use to assess a consumer's willingness to pay. We analyze whether dealers' difficulty in identifying consumer characteristics on the Internet and consumers' ease in finding information affects equilibrium prices in car retailing. Using a large dataset of transaction prices for new automobiles, the first part of the paper an- alyzes the relationship between car prices and demographics. We find that offline African-American and Hispanic consumers pay approximately 2% more than other consumers, however, we can explain 65% of this price premium with differences in income, education,a nd search costs; we find no evidence of statistical race discrimination. The second part of the paper turns to the role of the Internet. Online minority buyers who use the Internet Referral Service we study, Autobytel.com, pay nearly the same prices as do whites, irrespective of their income, education, and search costs. Since members of minority groups who use the Internet may not be representative, we control for selection. We conclude that the Internet is disproportionately beneficial to those who have personal characteristics that put them at a disadvantage in negotiating. African-American and Hispanic individuals, who are least likely to use the Internet, are the ones who benefit the most from it.

    Scarcity Rents in Car Retailing: Evidence from Inventory Fluctuations at Dealerships

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    Price variation for identical cars at the same dealership is commonly assumed to arise because dealers with market power are able to price discriminate among their customers. In this paper we show that while price discrimination may be one element of price variation, price variation also arises from inventory fluctuations. Inventory fluctuations create scarcity rents for cars that are in short supply. The price variation due to inventory fluctuations thus functions to efficiently allocate particular cars that are in restricted supply to those customers who value them most highly. Our empirical results show that a dealership moving from a situation of inventory shortage to an average inventory level lowers transaction prices by about 1% ceteris paribus, corresponding to 15% of dealers' average per vehicle profit margin or $250 on the average car. Shorter resupply times also decrease transaction prices for cars in high demand. For traditional dealerships, inventory explains 49% of the combined inventory and demographic components of the predicted price. For so-called 'no-haggle' dealerships, the percentage explained by inventory increases to 74%.

    Internet Car Retailing

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    This paper investigates the effect of Internet car referral services on dealer pricing of automobiles in California. Combining data from J.D. Power and Associates and Autobytel.com, a major online auto referral service, we compare online transaction prices to regular street' prices. We find that the average customer of this online service pays approximately 2% less for her car, which corresponds to about 450fortheaveragecar.Fifteenpercentofthesavingscomesfrommakingthepurchaseatalow−pricedealershipaffiliatedwiththewebservice.Theremaining85450 for the average car. Fifteen percent of the savings comes from making the purchase at a low-price dealership affiliated with the web service. The remaining 85% of the savings seem to be due to the bargaining power of the referral service and the lower cost of serving an online consumer. Dealer price dispersion declines with online sales, indicating we are picking up more than a selection effect. Online consumers who indicate they are ready to buy in the next two days pay even lower prices. Dealers pay less for an online customer's trade-in vehicle, although on-line customers are still better off overall than offline customers. Dealer average gross margin on an online vehicle sale is lower by about 300 than an equivalent offline sale. However, because online consumers are cheaper to serve and online sales may be new business for the dealerships, web-affiliated dealers are likely to be better off. Consumers who use the web do better than at least 61% of offline consumers.

    Three essays on strategic and organizational uses of information in marketing

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.Includes bibliographical references (p. 115-116).by Florian Zettelmeyer.Ph.D

    Comparative Advertising and In-Store Displays

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    Manufacturers often have a choice of whether to advertise something positive about their own products without mentioning their rivals' products (a noncomparative ad) or whether to portray their rivals negatively in addition to promoting their own products (a comparative ad). In this paper we ask: First, if a manufacturer in a distribution channel can choose between a comparative ad and a noncomparative ad, all else being equal, which should it choose? Second, under what conditions would a manufacturer want to reinforce its advertising message at the point of sale with in-store displays, and when should the retailer allow the displays? Third, how does the possibility of in-store displays influence the manufacturer's choice of ad content? We find that a manufacturer will prefer to run comparative ads over noncomparative ads for advertising that is untargeted or that appeals primarily to the manufacturer's core consumers, and run noncomparative ads over comparative ads for advertising that appeals primarily to the rival's core consumers. We also find that in-store displays will be optimal for the manufacturer and its retailers if and only if they increase the overall joint profit of the retailer, the manufacturer, and its rival. Finally, we find that the possibility of offering in-store displays increases a manufacturer's incentive to run noncomparative ads. However, some comparative ads may be so attractive to the manufacturer that it will run them with or without retailer help. Our paper is the first to introduce a channel-based explanation for why manufacturers may or may not want to engage in comparative advertising.game theory, channel coordination, comparative advertising, distribution channel
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