Cross-channel effects of omnichannel retail marketing strategies: A review of extant data-driven research

The authors review 50 empirical retailing research papers that have appeared over the last 20 years to take stock of what we know, need to know better, and do not know yet about within-retailer cross-channel effects of omnichannel retail marketing strategies on (a) consumer responses over their purchase journeys, i.e., online and/or offline search, purchase intention, frequency, amount, returns, loyalty, and (b) the retail firm's aggregate outcomes (e.g., sales, costs, profits, product returns) by channel and overall. Specifically, the authors focus on five strategies: (1) the addition of online channel by an offline retailer; (2) the addition (or subtraction) of offline channels by an online retailer; (3) addition of mobile shopping channel (website and/or app) by offline and/or online retailer; (4) cross-channel integration strategies; and (5) retail marketing mix strategies. The author/s integrate findings from empirical research on these strategies into a number of ‘insights’ about ‘what we know’. Prominent among these are the following: Adding a transactional online channel to an offline channel improves the retailer's overall sales even though offline channel sales can be cannibalized to some degree. Adding an offline channel by an online retailer, however, boosts online channel sales as well as overall sales of the retailer. Similarly, adding a mobile shopping channel usually increases customer purchase frequency and amount and overall sales of the retailer in the long-term. Strategies for greater cross-channel integration generally have a positive effect on a retailer's overall performance while online advertising has positive effects on offline channel consideration and sales as well as overall sales of a multichannel retailer. Other insights or findings that need further study or open questions are also identified. The paper closes with managerial implications of the derived empirical insights, and suggestions for future research.     

Marketplace,reseller, or web-store channel: The impact of return policy and cross-channel spillover from marketplace to web-store

With the advent of e-commerce, new platform sales have been created in the online retailing industry, and choosing the best platform has become a challenge for manufacturers. For instance, marketplace and web-store are two e-channels for selling goods directly to end customers. In the marketplace, manufacturers sell their products directly to online customers through e-tailers' platforms and share revenue with e-tailers. In the web-store channel, manufacturers sell their products directly to end customers through their platforms and do not need to e-tailers' platforms. However, some manufacturers and e-tailers continue with reseller channel yet. Reseller channel is another conventional channel in which manufacturers distribute their products to e-tailers, then e-tailers choose retail prices and sell them to consumers. Therefore, with these three different channels, the key question is when and under what conditions manufacturers can choose marketplace or reseller channel in addition to their web-store channels to grow their market share. In this paper, we analyze these three different e-channels and the conditions that manufacturers adopt the marketplace or reseller channel. For this purpose, we consider a model with two manufacturers and one e-tailer in which the manufacturers have their web-store channels, and they are willing to adopt another channelـ reseller or marketplace. The manufacturers offer a return policy in their web-store channels as a competitive strategy for attracting more customers. We find that offering return policy in web-store channels has no effect on the choice between the marketplace and reseller channel, but it has an impact on the amount of manufacturers' profits in each channel. Also, we demonstrate that regardless of offering return policy, as the coefficient of cross-channel effect increases, the manufacturers' profits, whether they choose reseller channel or marketplace channel, increase. But, as the coefficient of cross-channel effect increases, the e-tailer's profit increases when both manufacturers choose reseller channel, otherwise decreases. If manufacturers offer a return policy, the e-tailer's profit is highest when both manufacturers choose reseller channel, and if they do not offer a return policy, the e-tailer's profit is highest when both manufacturers choose marketplace channel.     

Acquiring customers through online marketplaces? The effect of marketplace sales on sales in a retailer's own channels

Online retailers are increasingly using third-party online marketplaces (e.g., Amazon, Taobao) as an alternative sales channel to their website. While cross-channel sales elasticities have been established for many sales channel combinations (e.g., adding bricks to clicks), we lack an understanding of whether the use of third-party marketplaces grows or cannibalizes a retailer's sales. Practitioners argue that firms can build their e-commerce business through acquiring customers by selling on the marketplace. Indeed, a marketplace could complement a retailer's offering (e.g., acquiring new customer segments), although inventory effects might mitigate this complementarity. Alternatively, cannibalization might occur from losing customers from one's website to the online marketplace. The present research investigates which of the two opposing forces prevails using a time series of category sales data from one of the largest global marketplace sellers. The authors use vector autoregressive modeling to show that marketplace sales increase sales on a retailer's website (0.014% for every 1% in marketplace sales). This effect is strongest for categories with large choice and low product prices. Acquiring customers through the marketplace might be cheaper than through other sources (estimated at 24% of initial sales). However, online retailers should be aware that this strategy strengthens the marketplace and may have potential negative long-term consequences (e.g., through marketplace control of the customer relationship).     

Online channel adoption in supermarket retailing

Introducing a new online channel is a crucial decision for brick-and-mortar retailers that requires insight and forecasts into customers' adoption and subsequent behaviour. The aim of this study is to analyse the dynamics in the behavioural heterogeneity of (new) multichannel supermarket customers when the online channel is introduced. A Latent Class Analysis (LCA) was conducted on 1151 adopters of the new online channel of a supermarket retailer to segment customers. We employed an extended “Recency, Frequency and Monetary (RFM)” model that includes customers’ purchases prior to the introduction of the new channel. Results show that adopters of a new channel are not a homogenous group of customers displaying a similar behaviour: two segments – or 35% of the sample – quit the channel after using it for some time, another segment (5%) left the company altogether, the other four segments remained multichannel to different degrees, with one shifting shopping substantially to online. Based on these results, the paper provides directions to retailers for developing Customer Relationship Management (CRM) strategies to manage the different customer segments and support channel performance evaluation and channel management decisions in a multichannel context.     

The roles of multiple channels in predicting website visits and purchases: Engagers versus closers

In today’s online environment, consumers and sellers interact through multiple channels such as email, search engines, banner ads, affiliate websites and comparison-shopping websites. In this paper, we investigate whether knowing the history of channels the consumer has used until a point of time is predictive of their future visit patterns and purchase conversions. We propose a model in which future visits and conversions are stochastically dependent on the channels a consumer used on their path up to a point. Salient features of our model are: (1) visits by consumers are allowed to be clustered, which enables separation of their visits into intra- and inter-session components, (2) interaction effects between channels where prior visits and conversions from channels impact future inter-session visits, intra-session visits and conversions through a latent variable reflecting the cumulative weighted inventory of prior visits, (3) each channel attracts inter-session and intra-session visits differently, (4) each channel has different association with conversion conditional on a customer’s arrival to the website through that channel, (5) each channel engages customers differently (i.e., keeps the customer alive for a next session or for a next visit within a session), (6) the channel from which there was an arrival in the previous session can have an enhanced ability to generate an arrival for the same channel in the current session (channel persistence), and (7) parsimonious specification for high dimensionality in a low-velocity, sparse-data environment. We estimate the model on easy-to-collect first-party data obtained from an online retailer selling a durable good and find that information on the identities of channels and incorporation of inter- and intra-session visits have significant predictive power for future visitation and conversion behavior. We find that some channels act as “closers” and others as “engagers”—consumers arriving through the former are more likely to make a purchase, while consumers arriving through the latter, even if they do not make a purchase, are more likely to visit again in the future or extend the current session. We also find that some channels engage customers more than others, and that there are interaction effects between the channels visited. Our estimates show that the effect of prior inventory of visits is different from the immediate prior visit, and that visit and purchase probabilities can increase or decrease based on the history of channels used. We discuss several managerial implications of the model including using the predictions of the model to aid in selecting customers for marketing actions and using the model to evaluate a policy change regarding the obscuring of channel information.     

Social Contagion and Customer Adoption of New Sales Channels

We develop and test hypotheses regarding the role of social contagion in customer adoption of new sales channels. We examine two aspects of social contagion (local contagion and homophily) and two channels (Internet and bricks-and-mortar store). Drawing on diffusion theory, we propose a conceptual framework that identifies the factors associated with new channel adoption. Using longitudinal data from a major catalog company and a discrete-time hazard model, we find that (1) social contagion plays a major role in the adoption of new sales channels, (2) both local contagion and homophily influence channel adoption, (3) longer-tenured customers are less influenced by social contagion, and (4) adoption of the Internet channel is more influenced by social contagion than adoption of the bricks-and-mortar store. Managerially, our results suggest that marketing programs that encourage social contagion, for example, word-of-mouth campaigns, be targeted based on both physical and socio-economic proximity, and that such campaigns will play a bigger role in the adoption of new-to-the-world channels.     

National advertising,dual-channel coordination and firm performance

With the rapid development of e-commerce, many manufacturers nowadays opt to open an online channel to engage in direct online sales. The mix of retailing with an online channel adds a new dimension of competition and complementarity to a product's distribution channels. Our model focuses on the strategic effect of the manufacturer's national advertising on alleviating the channel competition. We use a game-theoretical model to show that opening an online channel with the added national advertising effectively alleviates the channel conflict and thus helps improve the whole channel and each channel member performance. Depending on the different product categories and the degree of channel substitutability, the manufacturer's investment in the national advertising also will be different. The value of national advertising increases as product is more compatible with online sales and channel substitutability increases.     

Financial consequences of adding bricks to clicks

Many e-commerce retailers are adding “bricks to clicks” – that is, opening an offline channel in addition to their digital sales channel(s). Taking the perspective of such an online pure player, this research assesses the effects of offline channel additions on the financial performance (e.g., sales, profits) and customer behavior (e.g., basket size, return rate) in the extended channel network as well as the initial online channel of the retailer. Across two studies, one at the zip code level and the other at the customer level, we find that the channel addition of a fashion and lifestyle retailer is synergistic in terms of increasing not only overall sales but also profits. At the same time, the new offline channel does not significantly cannibalize the existing online shop, as new customers are attracted through the channel addition. The effects of channel additions, however, are influenced by characteristics of customers gained before the channel addition and of the trade area around the newly opened stores: among existing customers, those who bought more in the online channel do not react as positively to the addition of an offline channel, and trade areas with socioeconomic characteristics that are often viewed as disadvantageous for digital retailing (e.g., an older population, lower average income) show a stronger positive sales effect of a brick-and-mortar addition. The attractiveness of the offline channel for these customer segments highlights that adding bricks to clicks might be most attractive for those customers who were previously unwilling to purchase from an online-only retailer.     

Can sales leaders with humility create adaptive retail salespersons?

Although humility in leadership has been recognized as vital in leading salespeople to cope with unpredictability and unknowability in customers, the role of sales leader humility in promoting sales behaviors has remained underexplored. Our research aims to unfold how and when sales managers’ leadership humility nurtures retail salespersons’ adaptive selling behavior. Grounded on the dataset from managers and employees working in retail shops of a large telecommunication and computer company in Vietnam, the results reveal the role of retail salespersons’ customer knowledge, adaptive self-efficacy, and customer-oriented harmonious passion as the mediation paths for the linkage between sales leader humility and retail salespeople's adaptive selling behavior. The findings further provide evidence for the role of sales managers’ adaptive selling as an enhancer for the impacts of sales leader humility on these mediators.     

Consumer Brand Marketing through Full- and Self-Service Channels in an Emerging Economy

A unique characteristic of emerging economies is the wide variety of dominant channel formats. We evaluate the influence of a brand's marketing mix on channel partners and consumer sales in both full and self-service channels in one emerging economy (Brazil). We use monthly stock-keeping-unit (SKU) level sales, and marketing mix data from the beverage category in southeastern Brazil spanning more than four years. In this study, we specify a panel vector autoregression framework with error decomposition to account for endogeneity between sales and marketing mix, cross-sectional heterogeneity among SKUs, seasonality, and the different aggregation of marketing mix elements across the channels. The results show that structural differences in these channels cause differences in the responses to some of the manufacturers' marketing mix elements. Package size variety, price and merchandising have a greater long-term effect on sales in self-service than in full-service channels. Brands' channel relationship programs support price increases in self-service channels without a corresponding decrease in sales. Distribution gains are important in both channels. In the full-service channel, package size variety has the highest long-term effect among all of the modeled marketing mix elements. Our study highlights that marketing mix strategies popular in the self-service dominant channels of the developed economies are not as effective in the full-service formats that remain important in emerging economies.     

Corporate entrepreneurship,customer-oriented selling,absorptive capacity,and international sales performance in the international B2B setting: Conceptual framework and research propositions

In the international business-to-business (B2B) setting, a firm's salespeople often have more direct, prolonged, and intimate contact with the customer and market environments than any other employees of the firm. In fact, for customers in many B2B markets, the salesperson is the face of the firm. The sales function can be characterized as an inherently entrepreneurial activity. Entrepreneurship is founded on knowing or seeing something others do not see, and the sales force has long been recognized as an important source of knowledge about a firm's customers and environment. However, there has been relatively little work linking entrepreneurship to international sales performance, especially in the B2B context.This paper focuses on the intelligence-gathering role of salespeople to firms practicing corporate entrepreneurship in the international B2B setting. More specifically, drawing on the theories of corporate entrepreneurship and the knowledge-based view of the firm, the authors develop a conceptual model that proposes international sales performance for firms practicing corporate entrepreneurship will be enhanced when salespeople practice customer-oriented selling and the firm's absorptive capacity is stronger. Recommended methodology for testing the proposed model is a single-informant survey of sales managers with firms in the domain of interest, using structural equation modeling with moderator tests. The paper concludes with implications and directions for future research.     

Salesperson's listening in buyer–seller service relationships

Research has consistently shown that salesperson's active listening behavior leads to strong sales performance. Yet the influence of management policies on listening has received very limited attention, and prior research linking listening to customer retention has led to mixed findings. This study examines how listening is enhanced through control systems and the influence of listening on customer retention in a service context. Dyadic data from salespeople and their customers show that a behavior-based control system (measured as a second-order construct) positively influences listening and the salesperson's customer orientation totally mediates the influence of listening on customer commitment to the salesperson and loyalty to the service company. Our findings indicate that listening is a necessary but not sufficient condition for assuring relationship development. More specifically, customer orientation is the generative mechanism through which listening is able to influence customer retention. Theoretical and practical implications are discussed.     

Investigating the effect of customer-generated content on performance in online platform-based experience goods market

As COVID-19 persists, a new normal has emerged in our lives and consumption patterns. The rapid rise in demand for online consumption without physical contact is a prime example of this shift. Online platform-based markets have evolved into retail channels, allowing consumers to purchase both search goods and experience goods without contact. The platform provides an environment where customers can encounter a diverse range of customer-generated content (CGC) and gain insights into the purchasing experiences of others. However, despite the growing trading volume and diversification of products traded, relatively few studies exist on purchasing tangible experience goods in the online platform-based market. Therefore, this study investigates the impact of CGC (i.e., content and valence) on the market performance of experience goods, such as sales and sales rank in the platform-based market. We first examine the customer experience-related content in CGC in this market and then investigate the effect of CGC on market performance, such as sales and search ranks. We use crawled data from a platform that sells and rents artwork for empirical analysis. LDA topic modeling findings reveal that CGC has three primary topics (i.e., basic, artist, and style). The regression analysis results show that only style-related content improves performance, whereas basic-related content negatively affects search ranks. The valence of CGC does not significantly impact either performance measure. Additionally, we consider the role of rental services in this market and find that rental volume and search rank have an inverted U-shaped relationship. This study has important implications because it proposes a research framework and empirical model for examining the impact of CGC on performance in the online platform-based market for experience goods. It also has important managerial implications for platforms and sellers looking to enhance their market performance by monitoring CGC.     

Decline and variability in brand loyalty

In this paper, we examine the over-time behavior of brand loyalty for a large set of brands drawn from 21 consumer packaged goods categories. Using the brand-loyalty operationalization of Colombo and Morrison (1989), the following conclusions are obtained. First, little support is found for the often-heard contention that brand loyalty is gradually declining over time. Second, while the short-run variability around a brand's mean loyalty level is not negligible, no evidence is found that this variability has systematically increased over time, and it can be reduced considerably through a simple smoothing procedure. Finally, the brand-loyalty pattern for market-share leaders is found to be more stable than for other brands. The study findings were robust to variation in the time interval used to construct the switching matrices, and to different treatments of multiple purchases.     

Mapping Out the Customer's Journey: Customer Search Strategy as a Basis for Channel Management

Many companies tailor their communication and interaction with customers by segmenting them into channel usage groups. This study argues that simply focusing on channels has limited effectiveness as increasingly customers today use multiple channels, the online channel contains many different forms, and channels are increasingly blended. We have identified several search strategies that reveal how customers find their way through a multichannel landscape during the various phases of a purchase. By explaining channel usage through these “search strategies,” we propose a clear and intuitive model that will support companies developing an effective multichannel strategy.     

Redesigning after-sales service: Impact on incumbent product distribution channels

With the growth of multi-channel retailing, many firms that have traditionally relied upon third-party service providers to offer after-sales service (AS) have introduced direct AS channel. While there exist a few studies that examine the effects of adding a direct sales channel on the sales revenue of incumbent channels, there are no studies investigating the effects of adding direct AS channel. This study tries to fill this research gap by exploring cross-channel effects of including AS through the firm's direct brand stores on performance (i.e., revenue, assortment width, and extent of upselling) in both direct and indirect channels. A matched difference-in-difference quasi-experimental design was used to compare the sales outcomes of test and control groups using a five-year longitudinal dataset from a large dual-channel consumer durables firm. Results reveal that providing AS through the firm's direct channel has a positive significant effect on the revenue and upselling in the indirect channel, but no significant impact on assortment width in the indirect channel. However, unlike hypothesized, it results in significantly lower revenue, assortment width, and upselling in the direct channel. We interpret these negative effects as arising from customer confusion and perceived retail crowding. Overall, our research highlights that implementation of going direct with AS should be done with utmost care. Our findings would serve as a building block for future studies that are conducted to understand the dynamic cross-channel effects of introducing direct AS, and would be useful for drawing comparisons and contrasts.     

Drown or Blossom? The Impact of Perceived Chronic Time Pressure on Retail Salespeople's Performance and Customer–Salesperson Relationships

For retail salespeople chronic time pressure, a perpetual perception of being rushed for time, is a prevalent and pervasive phenomenon in their daily sales jobs. Despite this practical relevance, consequences of perceived chronic time pressure on retail salespeople's selling behaviors, such as adaptive selling, and selling performance are not well understood. Thus, the authors investigate the effect of retail salespeople's perceived chronic time pressure in interactions with customers and its impact on retail salespeople's adaptive selling behavior, customers’ purchase outcomes, as well as salespeople's overall objective performance. Analysis of dyadic data from 291 salesperson–customer interactions from a large B2C furniture retailer revealed an inverse U-shaped curve for the relationship between retail salespeople's perceived chronic time pressure and their adaptive selling behavior. The chronic time pressure–selling outcome relationship strongly depends on the contingencies of retail salespeople's goal orientations and perceived organizational support and has implications for retail research and practice.     

Understanding the link between customer feedback metrics and firm performance

Practitioners utilise customer feedback metrics (CFM's) to monitor business performance. However, the influence of CFM's on firm performance has been ignored. Thus, this paper aims to examine the effects of CFM's on firm performance. Our study collected data about CFM's, marketing efforts, and financial performance over the period 2005–2020 from American Customer Satisfaction Index. The present study used a multiple regression panel analysis to investigate the influence of different CFMs (i.e., SAT, Top-2-Box, NPS proportion, NPS value, and CES) on firm performance (i.e., gross margin, sales growth, and Tobin's Q), moderating by operating environment factors (i.e., munificence, power, and dynamism). Our results revealed that Top-2-box is the best predictor CFM's to compare firms in online booking, hotels, and online shopping industries, while consumer satisfaction is the best predictor for electronic and fixed telecom industries. CES is the best CFM's to compare companies in restaurants industries. Moreover, NPS is the best metric to compare different companies in holiday parks industries. The results provide considerable managerial implications for effective use of resources regarding investing in most suitable CFM's to enhance firm performance.