Profiling the reference price consumer

Researchers in marketing have devoted considerable attention to understanding how price impacts the purchase decision. Some individuals, termed memory-based reference price (MBR) consumers, take into account price expectations developed from past purchase behavior when making a current choice. Other individuals, termed stimulus-based reference price (SBR) consumers, make choices by constructing a reference point from the currently observed distribution of prices. Using a latent class model of structural heterogeneity applied to purchase histories from the toilet tissue category, we classify households in terms of the pricing mechanism used in buying decisions. We find strong evidence that memory-based (internal) reference price consumers are more price sensitive than other consumers. Moreover, we find that variables associated with the accessibility of price information are predictive of consumer use of memory-based reference prices. Managerial implications of these results are discussed.     

Retailer's decoy strategy versus consumers' reference price effect in a retailer-Stackelberg supply chain

Decoy strategy for bundling is an important marketing option because it can reflect the behavior resulting from consumers' reference price effect. This paper develops a game-theoretic model of a dyadic supply chain to study the joint decisions on pricing and decoy strategies in the presence of consumers' reference price effect. The retailer chooses one of the decoy strategies (phantom decoy-mixed bundling, decoy-mixed bundling) and selling prices to maximize her profit. Our study shows that: under both decoy strategies, the retailer and the manufacturer benefit from consumers' low reference price effect; however, the high reference price effect hurts their profits.     

Decomposing the effect of advertising: What happens in the retail channel?

The diverging interests of manufacturers and retailers famously give rise to the double marginalization problem but have consequences far beyond pricing. Advertising is another marketing instrument that is under the control of the manufacturer but its ultimate effect on consumer demand also depends on retailers’ pricing decisions. We decompose the effect of advertising in the channel and highlight an additional route through which advertising affects sales, namely via the changes in the retail price that a strategic retailer makes in response to changes in demand following manufacturer advertising. The total demand effect of advertising thus comprises the direct effects of advertising on market shares, and the indirect effects coming through adjustments that the retailer makes to the in-store prices of all the brands in a given product category in response to the shifted demand due to advertising. We match advertising data for four different categories (both food and non-food) to store-level scanner panel data, which also include information on wholesale prices. Controlling for wholesale prices, we establish in a reduced-form model that the retailer reacts to manufacturer advertising by changing retail prices instead of simply imposing a constant markup on the wholesale price. To further explore the role of the strategic response of the retailer in a systematic fashion and quantify the effects derived in the decomposition, we estimate a discrete-choice model of demand and determine the magnitude of the direct and indirect effects. We find that the indirect effect of advertising through retailer prices is about half the size of the direct effect, and thus substantively affects advertising effectiveness.     

Retailer Dynamic Pricing and Ordering Decisions: Category Management versus Brand-by-Brand Approaches

This paper provides a framework for retailer pricing and ordering decisions in a dynamic category management setting. In this regard, the key contributions of this paper are as follows. First, we develop a multi-brand ordering and pricing model that endogenizes retailer forward buying and maximizes profitability for the category. The model considers (i) manufacturer trade deals to retailers, (ii) ordering costs incurred by the retailer, (iii) retailer forward buying behavior, and (iv) both own- and cross-price effects of all the brands in the category. Second, we use this model to compare differences in ordering and pricing decisions, and in profits, resulting from using a category management versus a brand-by-brand management approach. Our approach allows us to derive implications in a dynamic setting about the impact of interdependence among the brands upon decisions on pass-through of trade deals and retailer order quantity. We show that category management results in noticeably higher profits versus brand-by-brand and cost-plus (markup) approaches. Further, our results suggest an interaction between a brand's own-price effect and its cross-price effect emerges. If the cross-price effect for a brand is low - that is, the brand takes away relatively few sales from the other brands - the retail pass-through should increase with that brand's own-price effect. On the other hand, when the cross-price effect is high, the retail pass-through decreases with the brand's own-price effect.     

A dynamic model of reference price and expected quality

A number of recent papers have developed normative implications of the concept of reference price. In this paper, we extend that literature to incorporate the relationship between expected quality and reference price. We consider the case of a monopolist who makes time-varying decisions regarding price and product quality. Our results suggest that when the effect of a loss (price greater than reference price and product quality less than expected quality) on demand is greater than or equal to that of a corresponding gain, it is optimal for a monopolist to have constant price and product quality levels. When the effect of a gain on demand is greater than that of a corresponding loss, however, we find that it is optimal to maintain cyclical pricing and product quality policies.     

The influence of multi-channel pricing strategy on price fairness and customer confusion

ABSTRACT

Multi-channel retailers face the challenge of coordinating marketing variables across their channels. In this respect, one of the main issues arising is whether to differentiate or integrate prices. Our study examines the impact of three multi-channel price differentiation instruments on perceived price fairness, customer confusion, and their consequences. In a scenario-based online experiment, we use a 2 x 2 × 2 between-subjects design and manipulate product price differentiation, online promotion and online shipping fees. The results indicate that price differentiation has an impact on fairness evaluations and customer confusion. Product price differentiation and online promotion are perceived as more unfair and lead to more confusion than price parity. Price fairness perceptions of shipping fees depend on product price differentiation. Customers perceive shipping fees as fairer than no shipping fees when prices are cheaper online but perceive shipping fees as less fair when prices are integrated. These results suggest that customers expect a consistent consideration of channel cost advantages and disadvantages and that shipping fees might serve as a cue for customers to consider the retailer’s channel costs. We further show that price fairness and customer confusion mediate effects of pricing instruments (in particular online promotion) on attitudinal and behavioral consequences.     

Private label line proliferation and private label tier pricing: A new dimension of competition between private labels and national brands

In this study, we explore the impact of private label (PL) proliferation and pricing on consumer demand and derive profit implications for different scenarios: (i) dropping or adding a line (kids, health or muesli) within a PL tier and (ii) changing the PL tier prices. We use a representative household panel dataset (2008–2009) for the ready to eat (RTE) cereal category of two leading U.K. grocery retailers. Our results indicate line extension/delisting within the standard and premium PL tiers cannibalize each other and also steal business from NBs for the kids, healthy and muesli lines. Overall, premium PLs seem a profit generator tier that allows some room for further brand variant introductions within this tier. However, the retailer is better off, in terms of profits, if the proliferation within the economy PL tier is downgraded. Furthermore, both the retailer and NB manufacturers gain from an economy, standard and premium PL price increase, as it leads to a demand shift to NBs accompanied by a profit lift for the retailer.     

The Impact of Category Captainship on the Breadth and Appeal of a Retailer's Assortment

Category captainship is a collaborative channel arrangement wherein a retailer cedes control of category management decisions, such as developing a marketing strategy to grow the category and assortment selection, to one of the category's leading manufacturers. This paper studies the consequences of captainship practices on the breadth and appeal of a retailer's assortment. We consider a model where multiple manufacturers sell a product to consumers through a common retailer. In the benchmark, the retailer decides on effort to drive traffic into the category and assortment. Under captainship, the retailer delegates both of these decisions to a captain in return for target sales. The capability of the captain to stimulate demand is unknown to the retailer. We find that the breadth and/or appeal of the assortment at the retailer can increase or decrease under captainship relative to the benchmark. We identify three factors that play a role on the impact of captainship on the breadth and appeal of retailer's assortment: (i) the retailer's beliefs about the captain's capability, (ii) the captain's true capability, and (iii) product set heterogeneity. We find that the benefit to the captain sometimes comes at the expense of the non-captain manufacturers, but we also identify conditions where captainship can be beneficial for not only the retailer and the captain but also the non-captain manufacturers.     

Believability and consumer perceptions of implausible reference prices in retail advertisements

Based on results from three studies, this research addresses questions relating to the role of perceived believability of a reference price set at an implausible level. Compared to effects of more plausible levels of reference prices, an implausible reference price is shown to be capable of positively influencing both perceptions of a fair price and the highest price that would be paid for an advertised product, as well as more evaluative dependent variables such as perceived value of the advertised offer and purchase willingness estimates. The perceived believability of the price offer is associated with a stronger impact on evaluative dependent variables than price-related estimates. Results indicate the importance of scrutiny of retailers' use of advertised reference prices by public policy advocates, and suggest implications for theoretical bases used to address reference pricing issues. © 1996 John Wiley & Sons, Inc.     

3PL服务提供商参与下的供应链定价及协调策略

基于单个制造商,单个3PL服务提供商和单个零售商组成的三级供应链系统,将第三方物流服务提供商定量的引入到供应链协调中来,并在物流服务价格由制造商和零售商共同分担的条件下,应用博弈论理论对供应链系统的定价、产量和利润进行了分析。联合定价时,运用相同利润总增长率的协调方式,确定了批发价和物流服务价格的大小;对独立决策和联合协调决策两种情形下均衡解的比较,得出协调定价不仅批发价、零售价和物流服务价都降低,而且还提高了供应链系统的整体利润;通过观察企业定价的大小,可以判断企业是否采取合作的态度,从而为决策者提供理论依据。     

Going Online for Groceries: Drivers of Category-Level Share of Wallet Expansion

Some grocery product categories may be more successful than others in terms of stimulating consumers to increase their share of wallet (SoW) when they start buying through the online channel of a grocery chain. This study explores the circumstances in which online and multichannel marketing mix instruments determine the extent of category-level SoW expansion. To do so, the authors use U.K. household scanner panel data, covering online and offline purchases by 3,311 households in 59 categories of four multichannel retail chains. The results indicate that the effectiveness of online and multichannel marketing mix instruments for stimulating expansion is moderated by category characteristics, such that a selective approach to making decisions about the online price, online assortment breadth, online/offline assortment integration, and online national brand proliferation, tuned to account for category differences, can increase category-level SoW for the online-visited chain.     

Online Price Search: Impact of Price Comparison Sites on Offline Price Evaluations

Consumers increasingly rely on Internet price comparison sites (PCS) to gain knowledge about the market. The prices generated by a PCS search can act as contextual reference prices and influence the attractiveness of prices encountered later as consumers shop offline at local stores. This paper demonstrates that both PCS retailer ratings and the shape of the PCS price distribution influence the impact of PCS search results on later price evaluations. A favorable PCS retailer rating increases the perceived validity of the price associated with that retailer, enhancing the impact of that PCS price on offline price evaluations (Study 1). The shape of the PCS price distribution can also influence later price evaluations, however this effect depends on the information provided by the PCS retailer ratings. When PCS retailer ratings are similar, implying similar validity for the associated prices, low PCS prices and those appearing more frequently in the PCS price distribution have more impact (Studies 2 and 3). When PCS retailer ratings are variable (some high and some low), the PCS price distribution effect occurs only when the PCS retailer ratings provide congruent information about price validity — that is, the most frequent price is offered by retailers with more favorable ratings. Study 3 shows that price validity inferences do mediate this result. Finally, we depart from the offline shopping context to show that when consumers choose a retailer directly from the PCS search results, the effect of PCS retailer ratings is stronger for high-priced retailers and for consumers who rely less on the retailer price as a heuristic to infer retailer service level. Based on our findings we offer insights for online and offline retailers when considering strategic responses, such as price matching guarantees.     

Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion

When physically similar products, of similar quality, are offered by retailers both online and offline, we often observe that the dispersion in prices of these products online is greater than the price dispersion offline. This observation runs counter to early theories that suggested price dispersion online would be smaller than that offline due to the ease of search and information availability online. This paper investigates and provides an explanation for this puzzling phenomenon by examining the impact of two important drivers of price dispersion: retailer type and consumers’ shopping risk. Retailer type refers to whether a retailer is a pure offline, pure online, or dual channel retailer. Shopping risk is defined as the product of consumers’ perceived risk of shopping and the transaction uncertainty related to shopping at different types of retailers.A game-theoretic approach is adopted to model consumers’ price search and product purchase, as well as price competition within and across retailer types in online and offline markets. Equilibrium pricing strategies are derived for different retailer types competing for different consumer segments with different levels of perceived shopping risk. The impact of retailer type and shopping risk on online versus offline price dispersion are quantified, and conditions when price dispersion is greater online than offline are identified.Results indicate that price dispersion is greater online when the number of pure online retailers is sufficiently large and is increasing in the number of pure online retailers. In addition, a reduction in online shopping risk may actually increase online price dispersion. Results further suggest that even without any online sales, dual channel retailers should maintain their online presence for the purpose of information dissemination, which justifies the importance for pure offline retailer to incorporate webrooming strategies, where consumers can search for prices online but purchase offline.     

Why households buy bottled water: a survey of household perceptions in the Philippines

This study investigates the determinants of household buying decisions to purchase bottled water or purified water from refilling stations among households in Metro Cebu, Philippines. A survey of 360 households was conducted to obtain data on household sources of drinking water, household bottled water buying behaviour and perceptions of water quality. A binary probit model was used to examine the effects of socio‐economic and perception‐based variables on the likelihood that a household regularly bought bottled or purified water. Results show that households that perceived their primary source of water, whether from the tap or from other sources, to be unsafe were more likely to buy bottled or purified water. Education of household heads, the presence of children ages 0–5 years, household size and price were also found to have significant effects. Income, however, was not found to have influenced the decision to buy. Having piped access to the local water district and knowledge of government assurances about water safety were also not found to have a significant impact.     

Modeling Dependencies in Brand Choice Outcomes Across Complementary Categories

We build an econometric model of a household's contemporaneous brand choice outcomes in complementary product categories. This model explicitly captures cross-category dependencies in brand choice outcomes of a household. Such dependencies have not been modeled in existing multi-category demand models.Our model accommodates cross-category dependencies that arise on account of three component effects: (1) complementarity due to the additional utility that a household derives from the joint purchase of brands in complementary categories, (2) marketing spillovers due to the effects of brands’ prices in one category affecting the households’ latent utilities for brands in the complementary category, (3) unobserved dependencies due to correlations in households’ latent utilities for brands across categories.We estimate our proposed multi-category brand choice model using scanner panel data on cake mix and frosting categories. We find that complementarity accounts for the vast majority of the estimated cross-category effects in demand. We also find that as much as 55 percent of the total retail profit impact of price promotions arise on account of brand-level (focus of our study), as opposed to category-level (focus of previous studies), dependencies in household demand. Finally, we propose an easily interpretable visual representation – Largess and Free-Ride Plot – of cross-category price elasticities that summarizes the differential abilities of brands to influence, or be influenced by, brands in the complementary category.     

Ladder Pricing – A New Form of Wholesale Price Discrimination

Wholesale ‘ladder pricing’ involves setting the wholesale price a retailer faces as a non-linear (generally increasing) function of the price chosen by that retailer. The special case where the ladder-pricing contract is linear is shown to be equivalent to a form of revenue sharing. Optimal profit maximizing ladder pricing/revenue sharing is examined, given that retailers are privately informed of their demands and costs, and have control over whether they participate, and if so, what retail price they set. The profit performance of the solution is compared with the alternative of wholesale quantity discounting, as the relative level of retailer demand/cost heterogeneity is varied; ladder pricing/revenue sharing tends to outperform quantity discounting by an increasing amount the greater retailer demand heterogeneity is relative to cost heterogeneity. Ladder pricing has recently been implemented for 08 and related calls in UK telecoms and has been subject to extended legal dispute; the case and issues involved are discussed.     

A study of the impact of Corporate Social Responsibility and price image on retailer personality and consumers' reactions (satisfaction,trust and loyalty to the retailer)

This study investigates the impact of a retailer's Corporate Social Responsibility (CSR) policy and its price image on retailer personality, along with the impact of these two variables on the consequences of retailer personality: consumers' satisfaction, trust and loyalty toward the retailer (measured by their attitude and future behavioral intentions). Data were collected on a convenience sample of 352 consumers of a French grocery retailer. Using Partial Least Squares analysis (PLS), we show that perceived Corporate Social Responsibility and price image have a significant positive/negative influence on retailer personality traits (“agreeableness” and “conscientiousness”/“disingenuousness”) and that Corporate Social Responsibility has also a significant positive influence on the “sophistication” personality trait. For the consequences examined (satisfaction, trust and loyalty to the retailer), we show that Corporate Social Responsibility, price image and retailer personality have a direct or indirect impact on these dependent variables.     

Exploring the effect of retail sector and firm characteristics on retail price promotion strategy

This study examines why retail price promotion strategies vary across retail sectors and across firms within sectors. Using hierarchical linear modeling and a sample of 38 firms from 11 retail sectors, the authors investigate how two sector-level characteristics, related to product assortment perishability and heterogeneity, and three firm-level characteristics, related to retailer differentiation, number of stores, and average store size, influence price promotion decisions. The results indicate that assortment heterogeneity moderates the positive influence of perishability on price promotion activity; scale and scope also have significant effects. These results offer fresh insight into the ongoing debate surrounding stable versus promotional pricing, suggesting that the benefits of a particular strategy are driven largely by a complex interaction between sector-level characteristics as well as firm-level cost advantages.