An empirically derived taxonomy of retailer pricing and promotion strategies

Most research categorizes grocery retailers as following either an Every Day Low pricing (EDLP) or a High Low (Hi-Lo) pricing strategy at a store or chain level, whereas this paper studies retailer pricing and promotions at a brand-store level. It empirically examines 1,364 brand-store combinations from 17 chains, 212 stores and six categories of consumer package goods in five U.S. markets. Retailer pricing and promotion strategies are found to be based on combinations of four underlying dimensions: relative price, price variation, deal intensity and deal support. At the brand-store level, retailers practice five pricing strategies, labeled Exclusive, Moderately Promotional, Hi-Lo, EDLP, and Aggressive pricing. Surprisingly, the most prevalent pricing strategy is not Hi-Lo pricing strategy as is widely believed. It is one characterized by average relative brand price, low price variation, medium deal intensity, and medium deal support. The findings provide some initial benchmarks and suggest that retailers should closely monitor their competitors’ price decisions at the brand level.     

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.     

Bridge,Focus, Attack,or Stimulate: Retail Category Management Strategies with a Store Brand

We investigate a monopolist retailer's category management strategy where the main strategic decisions are how to horizontally position a store brand relative to the incumbent national brands and how to price the store and national brands for retail category profit maximization. We analyze a market composed of two consumer segments with differing tastes and heterogeneity with respect to willingness to pay and a product category consisting of two competing national brands and one store brand. We find that contrary to the existing literature, it is not always optimal for a retailer to position its store brand against the leading national brand; instead there are many situations where it is best to position the store brand close to the weaker national brand or to position it in the “middle” so it appeals to both national brands' target segments. In the process we identify four distinct category management strategies that a retailer can use with a store brand. In three of these the optimal store brand price is the brand's monopoly price, while in the remaining one strategy the price is lower. We also suggest an easy to implement means for a retailer to determine which strategy is best to use, depending on the particular competitive environment present before the introduction of the store brand and the relative quality of the store brand. We find that the store brand entry is most beneficial to the retailer when the national brands are moderately differentiated. Finally we show that introducing a store brand not only allows the retailer to garner a higher share of the channel profits through higher retail margins, but also often provides the retailer the benefit of increases in national brand unit sales as well as incremental sales from the store brand. JEL Classification: M310     

Retailer Categorization: How Store-Format Price Image Influences Expected Prices and Consumer Choices

Prior research indicates that consumers may base their retail decisions (e.g., store choice, purchase quantity) on price image, which has been defined as consumer perceptions “of the aggregate price level of a retailer” (Hamilton and Chernev 2013, p. 2). The present research shows that consumers associate different price images not only with specific retailers, but more broadly with various store formats — such as grocery stores, convenience stores, and specialty stores. Six studies provide evidence that store-format price image exerts influence on consumer price expectations and store choice decisions, and that these retailer categorization effects are distinct from the effects of retailer price image.     

The Role of Retail Competition,Demographics and Account Retail Strategy as Drivers of Promotional Sensitivity

We study the determinants of sensitivity to the promotional activities of temporary price reductions, displays, and feature advertisements. Both the theoretical and empirical literatures on price promotions suggest that retailer competition and the demographic composition of the shopping population should be linked to response to temporary price cuts. However, datasets that span different market areas have not been used to study the role of retail competition in determining price sensitivity. Moreover, little is known about the determinants of display and feature response. Very little attention has been focused on retailer strategic decisions such as price format (EDLP vs. Hi-Lo) or size of stores. We assemble a unique dataset with all U.S. markets and all major retail grocery chains represented in order to investigate the role of retail competition, account retail strategy, and demographics in determining promotional response. Previous work has not simultaneously modeled response to price, display, and feature promotions, which we do in a Bayesian Hierarchical model. We also allow for retailers in the same market to have correlated sales response equations through a variance component specification. Our results indicate that retail strategic variables such as price format are the most important determinants of promotional response, followed by demographic variables. Surprisingly, we find that variables measuring the extent of retail competition are not important in explaining promotional response.     

Optimal retail sales strategies for old and new products in monopoly and horizontal competition scenarios

Advances in technology have made product updates more frequent and allowed consumers to choose different versions of the same product based on their preferences. It is crucial for retailers to understand how to formulate optimal sales strategies based on those different consumer preferences. To this end, we develop game models that consider the heterogeneity of consumer preferences under both monopoly and horizontal competition scenarios and perform the sensitivity analysis to examine the impact of consumer proportions and consumer preferences on retailers’ sales strategies. The results show that (i) regardless of competition or monopoly status, the original retailer can always maximize profit by setting prices based on the market share of traditional consumers, as long as the retailer sells both new and old versions of the product; (ii) the greater the competitive advantage of the competitor, the more advantageous the hybrid sales mode; (iii) if the price of the old product is below a certain threshold, there will be a positive profit for the original retailer when selling both the old and new products; and (iv) when consumer acceptance of competing retailers is lower, entering the retail market is not a good choice for competing retailers.     

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.     

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.     

Integrative effects of firms' price and endorsement strategies on consumers' loyalty intention

This research examines the effects of price and brand endorsement that are adopted by firms from a consumer-based viewpoint, and provides practical brand management discussions as a reference for both manufacturer brands and retail store brands. According to the findings, manufacturer brands support high prices and boost those vivid impressions which are helpful in engendering consumer loyalty intention. Without a careful evaluation process, a brand-endorsing strategy may prove detrimental to the manufacturer. Retail store brands follow distinct pricing policies and carry out brand-endorsed strategies. Price/endorsement stimuli influence consumer brand loyalty through the partial mediating effect of brand impression. Manufacturers and retailers could define appropriate price premiums on products with a potential for a manufacturer–retailer brand co-branding as identified by market research, thus increasing the sales of both.     

Brand and quality effects on introduction of store brand products

This paper considers a supply chain with a single manufacturer selling a national brand product via a single retailer. The retailer has the option to introduce a product under his own brand into the market with the same functionality as the national brand product. We simultaneously consider the consumer bases of the national brand and store brand along with consumers' willingness to pay for quality and the supply chain control (centralized vs. decentralized). By analyzing the game-theoretic models, we offer managerial insights about the influences of brands' consumer bases on the quality and pricing decisions of the retailer, and on the manufacturer's willingness-to-collaborate when the retailer introduces the store brand product. We find that, although it is usually easier for the retailer to introduce a product under a store brand with a large consumer base, doing so with manufacturers of well established national brands can be difficult, when the retailer often has to greatly mark down his store brand product's quality and price. We also find that a store brand product with a small consumer base shall be launched only when the supply chain is switched to a centralized control and when the manufacturer's national brand has a large consumer base. These important findings offer guidance to both national brand manufacturers and retail store managers regarding the launch of store brand products.     

Small-independent retailers vs. organized retailers: An empirical study in Indonesian economics of service industries

This paper explores the influence of strategic planning and functional-business strategy in helping small-independent retailers/traditional retailers to survive amidst the competition with organized retailers. Based on cross-sectional survey research, this study illustrates the influence of strategic planning and functional-business strategy to retailer–supplier relationship, consumer loyalty program, and retailer performance. In order to clarify the relationships among these constructs, a structural equation model (SEM) is employed to examine the model fit and the five hypotheses. The results show that strategic planning is critical for small independent retailers due to its influence on the retailer–supplier relationship and consumer loyalty program. Besides, consumer loyalty program is also influenced by functional-business strategy. The retailer–supplier relationship and consumer loyalty program exhibits a positive influence on the small-independent retailer performance. The research supports the existence of a more complex that the consumer loyalty program fully mediates the relationships between strategic planning and functional-business strategy on retail performance. Moreover, the retailer–supplier relationship fully mediates the relationship between strategic planning and small retailer performance. These findings constitute a new contribution to the literature on small retailer research streams through the development of cross category relationships such as strategy, buyer behavior, and structure categories. Besides, this study can enhance the strategic management as well as the performance of small-independent retailers to achieve sustainable competitive advantage.     

Configurations of business strategy and marketing channels for e-commerce and traditional retail formats: A Qualitative Comparison Analysis (QCA) in sporting goods retailing

This article applies a configurational approach to study the fit between retail format, business strategy, and multi-channel setup. Its empirical material consists of five case studies, and a data set of 74 sporting goods retailers in Sweden. Our results show that a retailer can create strategic advantages when its multi-channel setup fits with its business strategy, and that retail format is important for explaining differences in growth and profit, the former being assigned to e-commerce and the latter to physical stores. Moreover, the study reveals that to some extent online channels also have positive performance implications for physical store retailers.     

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.     

Pricing practices: A critical review of their effects on consumer perceptions and behaviour

With the present challenge to compete on price or product assortment, retailers and manufacturers are increasingly focusing on state-of-the-art pricing strategies which have their roots in behavioural economics and psychology. The current review is an empirical investigation on the relative effectiveness of various pricing practices on consumer perceptions and behaviour. Six pricing strategies were reviewed; drip pricing, reference pricing, the use of the word ‘free’, bait pricing, bundling and time-limited offers. The review shows that the former three have received a significant amount of attention and have a robust impact on consumer perceptions and behaviour. There is less research on the latter three; however, the available evidence does suggest that they, too, may be capable of influencing consumers’ choices. Finally, it is also clear that the effects of pricing practices can be moderated by a variety of factors. Overall, the current review indicates that sellers are able to influence perceptions and purchase decisions of consumers based on the manner in which prices are displayed. The implications of these findings for retailers, policy makers and researchers are discussed.     

An empirical analysis of demand variations and markdown policies for fashion retailers

In this paper, using data from a leading specialty apparel retailer, we empirically examine the determinants of a retailer's dynamic pricing policy and investigate consumer response to price changes (markdowns) throughout a fashion product's selling season using a product diffusion setting. In order to do that, we first develop and estimate a markdown pricing model and a consumer demand model that capture the important characteristics of the fashion apparel market. Next, we use the estimates from these two models to design and simulate four alternative markdown pricing policies to investigate the impact of these different policies on consumer demand and retailer revenues. Our results, in line with the previous literature, show that markdowns implemented early in the season but small in magnitude generate the highest retailer revenues. Our paper not only provides a comprehensive empirical framework for fashion apparel retailers that is easy to implement, but also shows that using this framework will lead to timely decision making and will improve sale and revenue outcomes in the fast paced fashion world.     

Consumer heterogeneity and online vs. offline retail spatial competition

This paper develops a game-theoretic spatial model featuring consumer heterogeneity in online vs. offline retailers’ spatial competition. We find that consumers’ browse-and-switch behavior intensifies the competition because both offline and online retailers’ price and profit decline when the behavior occurs, but it is not necessarily a threat to offline retailers especially when the product relates more closely to experience. We consider six equilibrium scenarios for different combinations of consumer behaviors when considering a hybrid retailer. The analysis taking consumer heterogeneity into consideration shows that the hybrid retailer operating both online and offline is not always the winner. Particularly, the business opportunity for the offline retailer lies in consumers’ willingness to pay in store, and whether the retailer launches an online store depends on the type of products and services provided.     

Drivers of the synergy between price cuts and store flyer advertising at supermarkets and discounters

Despite retailers’ intense use of both price cuts and store flyer advertising, it is still unclear whether and when it is beneficial for retailers to combine the two promotion tools at the same time as opposed to using them separately. We systematically investigate synergies between price cuts and store flyers for a broad set of 488 brands from 44 consumer packaged goods categories across six leading German retailers. We find that a clear majority of the brands benefit from positive synergies and hence, combining price cuts and store flyer advertising is recommended, especially at supermarkets. This synergy can be strong. For instance, a 15 % price cut without store flyer support at a supermarket, on average, increases sales by 11 %, and medium spending on store flyers for the brand at its regular (non-promoted) price results in a sales lift of 8 %. The combined use of both tools, however, increases sales by 52 %, much more than the sum of their separate effects (11 % + 8 % = 19 %). Yet, there is also substantial variance in the synergy, which we explain with retailer format (supermarkets versus discounters) as well as various brand and category characteristics. Our findings have important implications for the coordination of promotion activities by retailers.     

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.     

Store Brand Quality and Retailer’s Product Line Design

This study analyzes a retailer’s store brand quality decision in vertically differentiated product categories. We analyze a game theoretic model composed of one or two national brand manufacturers and a retailer, who strategically chooses the quality level(s) of its store brand(s) relative to the well-established national brand position(s) to maximize its category profit. Our analysis reveals that the nature of a retailer’s store brand quality positioning is quite different from the manufacturer’s national brand positioning decision, and that the best position for a store brand is not “as close to a national brand as possible” as previous studies suggest. Instead, the optimal quality position of each store brand is remarkably sensitive to the distribution of consumers’ willingness-to-pay. In particular, the relative proportions of quality sensitive consumers and price sensitive consumers determine the balance of three key strategic forces — the market expansion force, the retail margin force, and the consumer profitability force, leading to different optimal product line designs for store brands across different category environments. Interestingly, against multiple incumbent national brands, the retailer’s optimal product line design includes a store brand positioned at the highest quality level in the category only if most consumers are moderately quality conscious. We also analyze the implications of national brands’ brand equity for retailers’ store brand strategy.     

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.