Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives,sociodemographics and product categories

Cross-channel free-riding, in which consumers use one retailer′s channel to prepare a purchase and then switch to another retailer′s channel to purchase, can substantially erode profit margins. This research aims to understand such free-riding from a consumer empowerment perspective, investigating shopping motives and sociodemographic covariates, as well as how this behavior might differ across product categories. A survey study of decision-making behavior shows that cross-channel free-riders mainly seek to fulfill price comparison, convenience and flexibility needs. The likelihood of free-riding is higher when consumers adopt cross-channel rather than single-channel behavior, which highlights a negative outcome of multichannel retailing. The likelihood of cross-channel free-riding differs across products but not sociodemographic covariates. The findings can be used to develop recommendations for managing retention strategies.     

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.     

Definition and psychometric validation of a measurement index common to website and store images

To mesh together their channels and better handle their multichannel management, retailers must better evaluate and coordinate their various channels. They need more precise and more complete measurement instruments to compare the channels in terms of characteristics perceived by their customers. Using the procedure specific to formative variables, this research results in a particularly comprehensive measurement index that culls 10 channel image dimensions (offering, price, layout, accessibility, promotions, customer service, advice, reputation, institution, connections with other channels) from the 40 strictly identical items for the website and the stores. Various qualitative and quantitative surveys examine across several samples of customers of a major French multichannel retailer, including one sample of 1,478 respondents. This study delineates the scope of website and store images and defines reliable scales for evaluating each image dimension of the channels, including those totally missing from the literature. This measurement tool harnesses website and store characteristics that are very operational and easily actionable. This study demonstrates that a website can be described and analyzed along the same lines as a store, and shows the relevance of incorporating connections with other channels, particularly into the scope of website image.     

Consumer response to online/offline price differentiation

This research explores the impact of channel-based price discrimination on key consumer reactions. Three experimental studies provide evidence that price differentiation with lower online prices is feasible. Results indicate the effects observed depend on the size of the price difference and differ between product categories. The studies provide evidence on the interplay of two central cognitive effects when facing channel-based price differences: (a) implicit assumptions on higher costs running a conventional store which may justify differing prices versus (b) a general negative attitude towards price discrimination. Moreover, we show actively communicating additional value provided offline fosters acceptance of price discrimination.     

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.     

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.     

The Effects of Channel Experiences and Direct Marketing on Customer Retention in Multichannel Settings

In customer relationship management (CRM), it is critical for managers to understand how and when customers terminate their relationships with the company in order to make more accurate predictions for CLV. However, in many non-contractual settings, customer churn is not easily observed, which presents difficulty for estimating customer retention. In this research, we present a framework for estimating multichannel customer relationship dynamics in a non-contractual setting that flexibly allows for relationship revival and investigates the effects of different channel experiences and marketing communication on retention and profitability. We use a multi-segment, multivariate hidden Markov modeling framework to model three managerially relevant customer behaviors: purchase amount, purchase incidence, and channel choice. Using data from a multichannel clothing retailer, we uncover two latent relationship states that customers migrate to and from — an active state and an inactive state characterized by different levels of purchase frequency, responsiveness to marketing, and profitability. We find that an offline (retail-store) channel can be used to migrate customers from an inactive state to an active state, effectively serving the purpose of “education” or “revival,” whereas an online channel is most effective in keeping the existing active customers active, thus serving the purpose of “retention”. Using counterfactual analysis, we highlight an opportunity for the multichannel firm to optimize marketing strategies to dynamically manage and increase the retention and hence also the value of its customer base.     

Et tu,Brute? How unfair!

Marketing literature has consistently suggested that retailers should invest in building trust, as customers’ trust in the retailer results in a number of benefits for the retailer. The objective of this article is to understand the impact of buyers’ prior trust in retailers on their price unfairness perceptions. To investigate this, we conduct three experiments; the findings of the first experiment suggest that buyers’ prior trust in retailer has a dual impact (forgiveness and betrayal) on their perception of price unfairness. Trust helps to reduce price unfairness perceptions when the magnitude of the price increase is small, but accentuates this when the price increase is large. Moreover, forgiveness acts as a mediator between price increase and perceived price unfairness. This mediation effect of forgiveness depends upon a shopper's prior trust in the store. The second experiment replicates these findings in a real life experimental setting and thus establishes the robustness of the findings in real life contexts. The third experiment extends the boundaries of this research by demonstrating that the effect of trust on price unfairness perception depends on the nature of comparisons, i.e., whether the price comparison is made with one's own past price or with a price paid by someone else.     

Price image consequences

This study investigates the consequences of price image. Two conditions, a policy of intermediate price condition and a policy of low price condition, were distinguished in an experiment. Three moderators (consumers' price conscientiousness, retailer's motives perceived by consumers and consumers' familiarity with the retailer) were considered for these two conditions. Using partial least squares analyses (PLS), we propose integrated models of the consequences of price image highlighting the direct and indirect effects of this concept on consumers' satisfaction, trust, attitude and future behavioral intentions to the retailer. This research fills a gap in the literature since previous studies have mainly focused on the antecedents of price image or have only investigated specific links between the variables considered. Finally, considering our findings, we recommend to managers to favor either a policy of intermediate or low price depending of their consumers' characteristics.     

Differences in consumer price knowledge between Germany and Finland

Abstract

Price knowledge studies are a key to understanding behavioural pricing strategies. Consumer price knowledge is an ongoing concern in the literature. It is also generally acknowledged that price awareness is subject to cross-cultural differences. This is important because the retailer market is dominated by global players who use standardized marketing-mix instruments. However, there are no studies about price knowledge between countries. This study examines differences in price knowledge between German and Finnish consumers. The results show that Finnish consumers were able to give at least some price estimate for a product more often, but the estimates of German consumers were more accurate. Due to data limitations of our study more research is needed about cross-cultural price knowledge.     

Multichannel shopping: The effect of decision making style on shopper journey configuration and satisfaction

Prior research demonstrates links between the maximizing tendency in decision making and online shopping behaviour, with maximizers spending considerable time on their online shopping yet being somewhat dissatisfied with their shopping decisions. Our research extends prior knowledge to the multichannel shopping context. Multichannel shopper journeys are an important form of shopping, whereby the activities comprising a shopping event occur in more than one channel. Our quantitative study examines relationships between two dimensions of maximizing, maximization as a strategy and maximization as a goal, multichannel shopper journey configuration and subsequent affect. Maximization as a strategy directly and positively relates to the numbers of channel switches and of pauses in a shopper journey and to the use of product and retailer reviews. It is indirectly associated with increased counterfactual thinking and regret, and with decreased satisfaction. Maximization as a goal has no effect on multichannel shopper journey configuration or on affect. Our findings have managerial relevance for multichannel retailers. We demonstrate that product and retailer reviews are of particular importance to those employing maximization as a shopping strategy, as they mitigate against their increased tendency to engage in counterfactual thinking. As counterfactual thinking leads maximizers to increased regret and decreased satisfaction, multichannel retailers can improve shopper satisfaction by actively directing their customers to reviews. Shoppers using maximization as a strategy could be helped to configure their shopper journeys with fewer channel switches and fewer pauses, as these provide maximizers with opportunities to doubt their decisions.     

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.     

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     

Exploring Perceived Channel Price,Quality, and Value as Antecedents of Channel Choice and Usage in Multichannel Shopping

This study investigates consumer perceptions of price-quality-value based on shopping channel attributes as antecedents of channel choice and usage in multichannel shopping environments. Findings indicate that channel usage intention is directly influenced by consumer perceptions of channel value and indirectly by consumer perceptions of channel quality and channel price. Consumer perceptions of channel attributes most important to channel usage intention include utilitarian and hedonic value, service and merchandise quality, and monetary and non-monetary price. Managerial implications for retailers suggest a need for strategic management and differentiation of channel attributes to enhance channel value perceptions and increase channel usage intention.     

Can a weak retailer benefit from manufacturer-dominant retailer alliance?

The paper provides a framework to help the weak retailer delineate the circumstances that allow him to benefit from an alliance between the dominant retailer and the common manufacturer. We use a game-theoretic model to determine the optimal pricing and service strategies when channel members act independently then when the dominant retailer forms an alliance with the manufacturer. We find that: (i) the alliance is formed only if the market is not strongly competitive in terms of price, (ii) differentiation in terms of price and service is beneficial to all channel members under alliance, (iii) an interaction between spillover and service effects plays a crucial role to make the weak retailer gain or lose from the alliance.     

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.     

Buyer Power,Transport Cost and Welfare

Manufacturers produce substitute products and sell to consumers in a linear city through competing retail stores. A low cost store obtains large market share by selling at low prices. Assume that a big retailer may exert buyer power by demanding wholesale discounts from manufacturers. The model identifies exclusionary effects of buyer power against competing retailers. It is also found that certain level of buyer power of a discount retailer may maximize social welfare, while that of a regular price retailer may maximize total consumer surplus. Nevertheless, excessive buyer power hurts both consumers and society.     

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.     

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.     

Measuring Cross-Category Specials Purchasing: Theory, Empirical Results, and Implications

The typical Hi-Lo grocery retailer offers consumers thousands of price specials each week to build traffic and influence economic performance. Retailer reliance on price specials may engender heavy cross-category specials purchasing by shoppers. Retailers contend that high cross-category specials purchasing can damage profitability because many of the specials presented to consumers have reduced gross margins. The present study measures the level of cross-category specials purchasing in a Hi-Lo grocery market and develops and tests a model of the determinants of cross-category specials purchasing using shopping basket level data, information from surveys of shoppers, and retailer promotions. The results of the study show about 39% of all items purchased on a shopping trip were on special and that about 30% of consumers surveyed were highly sensitive to price specials, purchasing more specials than regular priced items on their shopping trip. The findings indicate that the consumer search behaviors, such as reading flyers, significantly affected the level of cross-category specials purchasing as did the demographic variable - household income. The study concludes with a series of practical implications for managers to help them gain profitable shopping baskets and set of implications for researchers interested in developing new insights on cross-category specials purchasing.