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A study of the price discounts granted by Morton Salt Company and other producers of table salt in the U.S. on their sales of table salt to grocery wholesalers and retailers. The discounts were found to be illegal under the Robinson-Patman Act by the Federal Trade Commission and the Supreme Court. The Commission and the Court believed that the discounts were unjustified price concessions granted to “large” buyers, consistent with the concerns of the Robinson-Patman Act. However, the evidence indicates that the most common discount – the “carload discount” – was received by virtually all buyers, regardless of the buyer’s size; the other discounts – “annual volume” discounts – though received primarily by “large” buyers, were likely cost based. The history of the discounts and likely reasons why they were granted are explored in detail.

This paper aims to examine how the temporal distance can influence the effect of the scarcity message. To demonstrate this effect, the authors use the limited-quantity flash sales and compare two types of mixed promotion method comprising discount rate and limited quantity.

The results of the experiment reveal that consumers in the temporally distant condition have a relatively high-level construal of the limited-quantity flash sales and are more likely to value desirability (discount rate) over feasibility (limited quantity).

When the expected value is identical, consumers prefer limited-quantity flash sales with smaller limited quantity but higher discount rates. However, consumers in the temporally near condition have a relatively low-level construal of the limited-quantity flash sales and are more likely to value feasibility (limited quantity) over desirability (discount rate).

When the expected value is identical, consumers prefer limited-quantity flash sales with lower discount rates but larger limited quantity.

Decision theory holds that the ambiguity of decision information affects the choices of decision makers, who have the emotion of “ambiguity aversion” when making fuzzy decisions. The purpose of this paper is to explore the neural mechanism how the information ambiguity of different sales promotion strategies influences consumers’ purchasing decision.

The paper uses the event-related potential (ERP) technique and experiment.

Results indicate that the information ambiguity of sales promotion strategies did influence the purchasing decision of consumers, and there were significant differences in the amplitudes of brain wave P2, N2 and P3 when consumers encountered the sales promotions of different types (discounts and gift-giving). This reflects the difference in perceived risk, decision-making conflict and decision-making attitude. It means that compared with discounts, the perceived risk and difficulty increased while the decision-making confidence plunged when consumers were faced with gift-giving promotions. This finding gives an explanation on the neural level why consumers prefer discounts, rather gift-giving sales promotions.

For the merchants to promote commodities online, it is suggested that the actual benefit from the sales promotion should be specified to reduce the ambiguity of sales promotion information. As the neuromarketing develops, merchants have obtained more effective approaches to study marketing strategies.

One of the theoretical contributions this paper made is that the authors innovatively explored the consumer’s preference to online sales promotion strategies from the perspective of fuzzy decision. Second, the authors adopted the ERP technique to study the influence of the ambiguity of sales promotion information on the consumer’s purchasing behaviors. Third, this study provides an explanation for why consumers prefer the sales promotion type of discounts according to the neural mechanism of decision making.

Multi-unit discounts (MUDs, e.g. “3 for $4”) typically increase sales relative to other discounting frames. This study demonstrates the value of MUDs by showing that positive multi-unit price/quantity signals are potent enough to match and even exceed the sales produced by larger discounts on single items. However, there is reason to believe that MUDs can produce neutral effects in some cases (e.g. among consumers interested in only single-unit purchases) and even negative effects in others. In addition, the study considers whether MUDs can, in some cases, reduce purchase quantities by signaling smaller-than-otherwise-planned purchase amounts and/or lower-quality products.

The effectiveness of MUDs is tested in both the field and lab. Study 1 models purchase quantities stemming from 2,374 purchases of discounted items at a mass retailer. Purchased products ranged in type from pantry items to apparel and electronics, and ranged in price from 44¢ to $99.99. There were 1,530 single-unit discounts, 596 two-unit discounts and 248 discounts, involving three or more units. Study 2 consists of a laboratory experiment that overcomes the shortcomings of Study 1 by accounting for non-purchasers, controlling for product classes and testing whether smaller MUDs can lead to lower purchase quantities for larger-purchase-quantity products.

The results of both the field study and the laboratory experiment indicate that MUDs’ monetary cue (savings) and purchase-quantity cue (volume) increase purchase quantities. Generally, purchase quantities increased monotonically with the number of units offered in the discount. In fact, the quantity cue is so effective that it can increase sales enough as to substitute for larger discounts. However, in some instances, MUDs can decrease intended purchase quantities. The negative effect of MUDs is the most pronounced for larger unit deals, offering deeper discounts on perishable goods.

This research is the first to demonstrate that the power of the signals provided by MUDs may be so positive as to lead them to be more effective than discounts of substantially larger value but also so negative as to render them less effective than single-units discounts. This negative outcome poses a threat beyond those typically associated with discounts, in that rather than consumers simply discounting a discount, in which case the discount remains positive even if their impact at the margin wanes, the MUD frame may actually reduce sales.

This paper introduces the development of a new type of sales promotion strategy to create more value for goods and to avoid price discounting. I use a psychological approach designed by creating consumer insight hypotheses based on in-depth interviews, which are then verified by web-motivation research and text-mining. This innovative sales promotion approach is a very hot topic as a new type of promotion development among large companies in Japan and is useful in avoiding price-discounting sales. This paper explains the concrete process used in this type of promotion and reveals the successful case of a large spice company in Japan. The process uses price sensitivity measurement (PSM) as a pricing technique. In the experiment, conducted in nine retail stores, the most successful sales promotion condition saw an increase of 900% in monetary sales without price discounting during the two weeks of the experiment, and 500% in the two weeks after that.

This paper aims to study the consequences of listing national brands in discounters. Is the discount channel a promising outlet for manufacturer brands? Is it an effective means to attract new buyers? Which combination of brand and discount destination at which price is best suited for this strategic move?

Based on a unique dataset (tracking grocery purchase behavior for a representative sample of German households) and employing both descriptive and multivariate statistical techniques, the authors examine the outcome for 134 national brands introduced in six discount chains in Germany between January 2003 and July 2004.

Both the manufacturer and discounter are able to grow their total performance in excess of the market following the introduction for the majority of the brands. Hence, potential cannibalization is more than offset by incremental revenues. It is found that, on average, close to 80 per cent of national brands' sales at a discounter is from new brand buyers. Discounters typically benefit less, as only 29 percent of brand sales are from new category buyers at their store.

Including manufacturer brands into a discount assortment will benefit both the manufacturers and the discounters. Examination of the substantial cross‐brand differences reveals that manufacturers and discounters attract more new customers with brands for which market penetration is still modest. Also, discounters gain more from adding branded offerings in underperforming categories, and benefit from brands that enjoy higher customer loyalty. Finally, national‐brand prices should be set carefully at discounters. It is advised to maintain their price premium even at a discounter.

Discounters are the fastest growing grocery format in Europe. Lately, many discounters add national brands to their private‐label dominated assortment, a move widely discussed in media with substantial implications for grocery channel management. This study provides a comprehensive evaluation of that trend.

Fringe, or “non‐wage”, benefits typically form an important part of the compensation package provided for employees, having grown considerably during the 20th century. One of the more traditional types of benefit, of interest in this article, is the provision of goods and services to employees at a price below that which they would normally expect to pay. More specifically, we are interested in the sale, at a discount, of a company's own products, rather than the provision of other goods and services, such as meals or private health insurance, at low rates made possible by company subsidy or the exploitation of its buying power or facilities. While a company may sometimes sell discontinued lines or damaged stock to its employees, our focus is on the sale of normal products. Our primary purpose is to show how, with an understanding of cost and revenue relationships, the problem of setting the rate of discount can be approached. The analysis draws on and extends previous work on shareholder concessions.

This paper aims to clarify the effect of discount discrepancy (DD) on consumers’ purchase intention (PI). The authors propose, test and provide evidence and explanations about the moderation of justification in the relation between consumers’ perceived DD and PI.

The authors conducted three experimental studies with a 2 × 2 factorial design, focusing on consumers’ processing of price discounts. Participants were informed that this study aimed to gather opinions on fashion, clothing and retail sales promotions. They accessed the questionnaire via Qualtrics. Each participant took part in only one study. The experimental conditions were manipulated through scenarios.

Study 1 tested and supported the moderation of justification on the effect of DD on PI. Study 2 tested and supported the moderation of the type of justification for the effect of DD on PI. Study 3 confirmed the findings in Study 2 and revealed the more effective type of justification.

The authors focused on a typically hedonic product category (fashion clothing). Further research should include a wider variety of goods and services, which could lead to different explanations or generalizations.

Sales promotions must refrain from generating DD between the initial price discount and the subsequent smaller discounts. Practitioners must evaluate the gains of an initial, more considerable percentage discount to attract consumers to the store and sell them other products versus the cost of losing sales because of DD. Management should recognize the importance of giving the correct justification for perceived DD, aligning the firm’s justification with the consumer’s motivation to buy the product.

The authors offer subsidies for effective consumer protection policies.

By studying the influence of justification on the effect of DD on PI, the authors propose a mechanism that would reduce the negative effect of DD on consumers’ PI.

In spite of their importance within pricing strategies, “seasonal sales” have received little attention within the literature. The recent interest in “high‐low” pricing has, however, increased the attention given to temporal shifts in store‐wide, rather than item level, prices. Following a brief review, this paper draws upon two case studies of leading retailers of apparel in the UK. Evidence is also presented from audits of pricing and markdown activities over a three‐year period, illustrating some contrasts between stated strategies and actual pricing activities. A cost‐benefit analysis of high‐low pricing requires knowledge of consumer preferences and attitudes. Results are drawn from a study of over 2,600 “sale” shoppers, indicating stated preferences for markdown frequency, depth and coverage. In general “sale” shoppers appear to prefer a variety of markdown levels, increasing their scope to succeed as bargain hunters.

The purpose of this paper is to compare prices for fresh tomatoes, potatoes, peppers, and apples at direct-to-consumer sales outlets (e.g. farmers markets, roadside stands, on-farm stores) in the USA to grocery stores and supercenters, while controlling for other attributes.

The author estimates a hedonic regression model to determine price differences at direct sales outlets, grocery stores, and supercenters in various regions and seasons of the year. The analysis is conducted using 2006 Nielsen Homescan data. Other product and market attributes are also considered, along with characteristics of the household sample.

Prices at direct sales outlets are lower than grocery store prices throughout the year and across the USA. Prices at direct sales outlets for some product/location/season combinations were higher than or comparable to supercenter prices.

Future research is needed to examine how price differences may vary across the various types of direct marketing outlets.

Few studies have examined price differences between direct sales outlets and conventional retail stores. No studies have used nationally representative data to analyze these price differences across produce type, season, and geographic areas.