Price-matching guarantees as signals of low store prices: survey and experimental evidence

Many retailers offer a price-matching guarantee that promises to pay consumers the difference if they find a lower price elsewhere. This article proposes that the effectiveness of a price-matching guarantee as a signal of low store prices depends on individuals’ beliefs about the degree to which other consumers in the market engage in price search, enforce price-matching guarantees, or both. Consistent with signaling theory, results of a survey and two experimental studies demonstrate that market level factors affect consumer beliefs about the extent to which others engage in price search and thereby the effectiveness of price-matching guarantees in lowering perceptions of store prices. The implications of the findings for retail strategy are discussed along with directions for future research.     

Consumer perceptions of refund depth and competitive scope in price-matching guarantees: effects on store patronage

The study investigates the effect of two characteristics of price-matching guarantees—the depth of refund offer and the scope of competitors eligible for price matching—on consumer perceptions of price-matching guarantee believability and value and consumer intentions to patronize the retailer. The results show that large refund offers built consumer patronage intentions by enhancing perceptions of the value of the price-matching guarantee, while simultaneously exerting a negative impact on patronage by reducing believability of the price-matching promise. The competitive scope also affected the patronage intentions by influencing the perceived value of the price-matching policy.     

Retail channel price discrimination

This paper examines price differentials of identical items across retail channels. Many consumer packaged goods are sold through both grocery and drug stores. Liquor is unique in that in much of the country there is a third retail channel of distribution, liquor stores. If consumers in each retail channel differ in their willingness to pay for certain items, then sellers can exploit those differences and charge different prices for the same items in each channel. We examine a unique data set of pooled cross sectional retail scanner data on wine to test whether sellers use retail channel to identify heterogeneous consumer market segments and engage in price discrimination. We begin by presenting a model of price discrimination by retail channel along with behavioural assumptions regarding shoppers in each channel. Next we examine sales by retail channel and find persistent price differentials for the same item across retail channel after controlling for sample selection bias and seasonality. Lastly, we estimate the price elasticity of demand correcting for endogeneity and find differences across channel consistent with the price differentials. The extent of price differential, however, differs significantly with respect to price point.     

Price recall: Brand and store type differences

Price is among the most important choice criteria for customers, whose price knowledge is often surprisingly inaccurate. This study aims at providing new insights into differences in price recall across brands and store types, and their potential effect on marketing efficiency and customers’ store choice. Towards this aim, we analyze the price recall of consumers for 51 food items by a random-effects panel estimation employing a survey with 715 participants. Our results show that customers recall national brand prices better than private labels, almost irrespectively of the store type; consumers overestimate store brand prices in both store types; the effect, however, is much higher for the convenience store. These outcomes have consequences for the marketing strategy: despite a price-matching guarantee for the store brands in the convenience store, the price image is still in favor of the discounter. This result raises doubts on the effectiveness of the price-matching guarantee, at least in this context. The everyday low price strategy of the discounter seems to pay off in terms of the price image. Though both stores charge the exact same prices for their store brands, prices at the discounter are on average perceived to be significantly lower.     

Consumers’ perceptions of the fairness of price-matching refund policies

This paper examines the antecedents and consequences of perceived price-matching policy fairness. Among the antecedents, we study the effects of the refund depth if a lower competitive price is identified, the degree that the retail product assortment is available at competing retailers, and the consumers’ inference as to the retailer's motive for the price-matching policy. Product assortment uniqueness is identified as a key driver of fairness perceptions, both directly and indirectly through inferred motive. The three experiments show that consumers’ perceptions of the fairness of a store's pricing policy influence their price fairness perceptions, consequently influencing their retail shopping intentions.     

零售商“差价返还”策略对商店整体价格形象的影响

价格是零售商间竞争的一个重要营销要素,而消费者不可能依靠所有具体商品的价格来客观地判断一个商店的整体价格水平,相反他们会依据一些能够感受到的价格线索来形成对整体价格水平的感知。零售商的"差价返还"政策对于商店价格形象具有一定影响,为此在相关的理论框架下须对干扰因素进行实证研究。     

Price Adjustment Policy with Partial Refunds

Have you ever purchased an item only to notice a short while later that its price was reduced? Many retailers offer to refund customers the full price difference as long as the discount occurred within a short period of time after the original purchase. Such policy looks attractive to consumers as it shields them from future price fluctuations. But can this policy be advantageous for the retailer?In this paper we investigate the price difference refund policy (commonly referred to as price adjustment) and demonstrate how it can result in a higher profit even if all consumers request and receive a price adjustment.Further, the existing literature and practice both assume that if a price adjustment policy is employed, the consumers should get the full price difference refunded. In this paper we endogenize the refund amount, allowing the retailer to determine the optimal percentage of the price difference to be returned to consumers. We fully characterize the conditions under which it is optimal to offer a partial or greater than full price adjustment to customers as well as the optimal refund percentage. Additionally, we demonstrate that the practice of limiting the price adjustment option to a short period after the purchase incident is not necessarily in the best interest of retailers.     

Implementing price increases in turbulent economies: Pricing approaches for reducing perceptions of price unfairness

Consumer frustration over having less money in their pockets and, at the same time facing higher prices for products and services in the marketplace, arises during turbulent economic times (e.g., post-2007). Sellers suffer increased costs and pass along increases by raising prices to consumers. The current article discusses trends in the pricing literature and in practice that sellers utilize in limiting perceptions of price unfairness, particularly when increasing price in turbulent economic times. Specifically, engaging in transparency in pricing by revealing information about price changes to the consumer during poor economic times potentially reduces perceptions of price unfairness. Using industry-common price-setting practices, shrinking product volume, providing automatic rebates promotions, or offering price-matching promotions also likely reduces perceptions of price unfairness.     

Consumer heterogeneity in the longer-term effects of price promotions

While a significant literature has emerged recently on the longer-term effects of price promotions, as inferred from persistence models, there is very little if any attention paid to whether such longer-term effects vary across different types of consumers. This paper takes a first step in that direction by exploring whether the adjustment, permanent, and total effects of price promotions, and the duration of the adjustment period, differ between consumers segmented based on their usage rates in a product category and their loyalty to a brand. We also investigate whether such consumer segmentation will improve the forecasting performance of persistence models at both product category and brand levels. Expectations are developed based on consumer behavior theory on various effects of price promotions, such as the post-deal trough, the mere purchase effect, the promotion usage effect, and responsiveness to competitor's reactions. Evidence from household-level supermarket scanner data on four product categories is provided. We find substantial differences between consumer segments and provide insights on how managers can increase the longer-term effectiveness of price promotions by targeting each consumer segment with a different promotion program. In addition, consumer segmentation is found to significantly improve the forecasting performance of the persistence model for two of the four product categories. For the other two product categories, consumer segmentation provides forecasting performance similar to that obtained from aggregate-level persistence models.     

Price-aware enhanced dynamic recommendation based on deep learning

Price is one of the essential elements influencing consumer purchase behavior. Like consumers’ preferences in products, their price preferences also dynamically change over time. However, dynamic price preferences haven’t been fully considered in existed recommendation studies. In this study, we propose a deep learning-based dynamic recommendation model by considering consumers’ dynamic preferences in both product and price. We specially design a review-and-rating-based sequence generator to select products whose prices the consumers are satisfied with to form the new purchase sequence. We also develop a multi-level attention mechanism in the transformer layer to explore the correlations between consumers’ price choices and to combine the price preferences with the product preferences. Experimental results show the proposed model outperforms the state-of-the-art models on some real-world datasets. Our findings can help retailers understand consumers’ price preferences and make informed decisions related to pricing, discounting, and bundle sales strategies.     

What drives customers’ post-purchase price search intention in the context of online price matching guarantees

Using a research model based on customer value theory, this study investigates the determinants of customer post-purchase price comparison searches in the context of online price-matching guarantees (PMG). Data collected from 222 eligible respondents are tested against the proposed research model using partial least squares structural equation modeling (PLS-SEM). The results indicate two PMG characteristics, refund length and refund scope, influence utilitarian benefit (i.e., refund depth) and hedonic benefit (i.e., playfulness). These two benefits subsequently contribute to customer perceived value, which leads to price search intentions. This study pioneers the exploration of online PMGs and the determinants of customer post-purchase price search intentions. Several important theoretical and practical implications can be drawn from the findings to guide online retailers’ PMG strategies.     

Internal reference price response across store formats

Reference price models have a long tradition in marketing and consumer research. Pricing strategies can utilize consumer response to gains and losses relative to internal reference prices, which are price expectations developed from past-observed prices. Consequently, many previous studies have been devoted to analyzing differences in internal reference price response across product categories and consumer characteristics. However, knowledge about internal reference price response across different store formats is missing. Our study aims to fill this research gap. To do so, we estimate a reference price model for the same set of brands and the same sample of consumers across two store formats (discount chain vs. supermarket chain). The prices for the brands in our model are similar across store formats. Results from our proposed model show that the same consumers are loss-averse at the discount chain while gain-seeking at the supermarket chain. Predicted by previous literature, we attribute the difference in internal reference price response to the different price image of the store formats. Overall, our research contributes to the reference price literature and provides important implications for pricing strategies at stores with different price image.     

Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach

The way consumers make decisions across online and offline channels according to their perceptions of retailers׳ marketing practices is not well understood in the current literature. A few empirical studies have examined consumer decision-making styles (CDMS) and marketing practice among online and shopping mall consumers. This research endeavors to understand CDMS as market segments on the perception of marketing practice across retail channels. A total of 315 online and paper–pencil-questionnaires were collected to conduct the statistical analysis for the measurement and structural model using the partial least squares (PLS) path modeling approach, a structural equation modeling (SEM) technique. Six consumers׳ characteristics–perfectionist, brand consciousness, price conscious, fashion conscious, recreational and impulsive shoppers–were assessed in respect of retail products, price, advertising and retailing across-channels. The study contributes to retailing management by enabling it to implement effective retail segmentation and cross-channel strategy according to CDMS. The study limitations and implications are discussed.     

Quality-adjusted price comparison of non-homogeneous products across Internet retailers

This study compares prices offered by multiple Internet retailers. This task is challenging because e-tailers cannot present their entire assortments to each consumer. Therefore, the quality of the product assortments presented by different e-tailers to each consumer is not directly comparable on an item-by-item basis, resulting in non-homogeneous offerings across retailers. We further consider the interaction between retailers (product information presentation format) and consumers (product information search strategies), which makes price comparisons among the retailers even more non-homogeneous. To grapple with this quality-adjusted price comparison problem for non-homogeneous products, we use a stochastic-frontier hedonic-price regression model to find the “lowest” theoretical price for a product given its characteristics. We then assess the price efficiency of the product as the ratio between this lowest price and the offered market price. This framework allows for the comparison of retailers in their ability to offer the “best deals” even when their actual assortments are not directly comparable in quality. Moreover, this framework provides Internet retailers with a relative measure of price efficiency. This helps them understand when and where they offer competitive prices to consumers. We illustrate our approach empirically in a comparison of price efficiency among three major Internet travel agents on a sample of posted itineraries and airfares. Furthermore, we demonstrate that the price efficiency of an Internet travel agent depends on the format of its website and on consumers' search strategies.     

Price Font Disfluency: Anchoring Effects on Future Price Expectations

Novel, unique, or otherwise disfluent fonts are often used to draw consumer attention. However, disfluent fonts may also create metacognitive processing challenges. Therefore, consumers may devote more cognitive resources to process disfluent price fonts and will consequently be more likely to accurately recall and anchor on disfluent price displays when forming their future price expectations. Three experiments demonstrate that disfluent sale prices can reduce future price expectations, while disfluent manufacturer-suggested retail prices (MSRPs) can increase future price expectations. Additionally, price recall accuracy mediates the effect. Moderation analysis demonstrates that disfluent MSRP displays are more likely to affect price-conscious and less-involved consumers.     

Consumer price awareness in food shopping: the case of quantity surcharges

Quantity surcharges, higher unit prices on larger sizes than smaller sizes, are often found among grocery items. In this study we consider the question of why consumers buy surcharged goods. We hypothesize that it is the consequence of a failure to price search, and that some buyers purchase larger sizes in the belief they are cheaper, thus avoiding the need for price comparisons. In the analysis we examine canned tuna, using 1990 data from 54 grocery regions on sales, prices, and consumer demographics. Results support the hypothesis. We find evidence that buyers of surcharged items are mainly those with high time and information costs.     

Is transparency a good thing? How online price transparency and variability can benefit firms and influence consumer decision making

The internet has empowered consumers and changed the way they search and shop for products and services by increasing the availability and transparency of pricing and other comparative information. However, what is less clear from a managerial perspective is just how transparent pricing information should be. While it might seem that increasing price transparency would reduce consumer search, we find that it may actually increase search and delay. In this article, we review the use of firms’ application of price transparency in practice and propose that specific types of information can influence how transparent prices are to consumers, and how such transparency can influence consumer decisions in a way that is beneficial for the firm. We focus on a specific form of transparency: whether or not the consumer knows the range of pricing. We also discuss whether a high variability pricing approach versus a low variability pricing approach influences consumer decision making—and whether this influence is moderated by transparency.     

Consumers' Interpretations of the Semantic Phrases Found in Reference Price Advertisements

Consumers are frequently presented with a higher reference price to compare with a lower advertised selling price. The research on reference prices has traditionally been conducted based on the implicit assumption that consumers’ interpretations of a given semantic phrase, e.g., “Regular Price/Sale Price,”are consistent across all consumers, but this fundamental assumption has never been tested. Guidelines issued by the Federal Trade Commission and the Council of Better Business Bureaus, as well as regulations enacted by approximately half of all states, appear to be based on a similar assumption. However, given the variability among consumers’ perceptions found in other areas of consumer research, it is reasonable to expect that consumer interpretations of semantic phrases may vary. Given the potential variability, a pricing claim may be deemed informative or deceptive depending on the meaning the particular consumer attaches to the claim. This article presents a discussion of the vagueness in pricing claims as a step toward evaluating deception.     

The multichannel pricing dilemma: Do consumers accept higher offline than online prices?

Whether to unify or discriminate prices in offline and online channels is a controversial topic that can be central to whether offline retailers survive in the marketplace. Field data evidence from a large multichannel retailer reveals a sobering picture. On average, only offline price premiums of approximately 2% seem feasible, and such premiums vary largely by product categories and price levels. High-priced products, which consumers perceive as risky, tend to allow offline price premiums, as do low-priced, takeaway items. However, in between these two extremes, the results show no potential for offline price premiums. Drawing on price fairness theory, we further explore consumer responses to higher offline prices in three experimental studies. In contrast with the assumptions of price fairness theory, the provision of purchase advisory services and communication of the price motive hardly stimulate consumer acceptance of higher offline prices in our context. However, the findings reveal important heterogeneity in consumer responses depending on their market segment, because some market segments indeed respond less negatively to higher offline prices. In addition, consumers accept offline price premiums for unplanned purchases.     

Reduce Content or Raise Price? The Impact of Persuasion Knowledge and Unit Price Increase Tactics on Retailer and Product Brand Attitudes

This research investigates consumer reactions to the practice of increasing unit prices of products by either reducing product content or increasing total prices. Using pricing tactic persuasion knowledge (PTPK) as a lens for understanding, I predict that total price increases garner less favorable attitudes toward retailers for relatively low PTPK consumers, while content reductions garner less favorable attitudes toward product brands for relatively high PTPK consumers. The results of an experiment with a nationally representative sample of U.S. consumers support these asymmetric predictions about PTPK consumer segments as well as expectations about the underlying psychological processes.