Managing customer experiences in online product communities

Many companies have established online product communities or forums as a vehicle to extend product support services to their customers. Customers' interactions in such online forums with peer customers and vendor representatives resolve their product-related queries as well as inform on their product purchase decisions. Despite the significance of such interactions, there has been limited theoretical attention so far on how companies can manage customer experiences in online product communities. Drawing on theories and concepts from diverse areas including computer-mediated communication, consumer psychology, and online communities, this study proposes a four dimensional construct - Online Community Experience (OCE) - to capture customer experiences in such online product communities, and examines its impact on customer attitudes regarding the product, the company, and the quality of service. Data collected from customers in online product forums offered by four companies is used to test the study hypotheses. Implications for research on online consumer behavior and marketing are discussed.     

A Bayesian Approach to Modeling Purchase Frequency

Direct marketers are often faced with the task of ranking, or scoring individual customers in terms of their expected value to the firm. A critical element of their scoring systems is expected frequency of customer interaction. In this paper the authors develop a hierarchical Bayes model of purchase frequency that combines a Poisson likelihood with a gamma mixing distribution, where the mixing distribution is a function of covariates. The proposed model is evaluated with two direct marketing datasets, and is shown to provide improved estimates of purchase frequency, particularly for customers with short purchase histories or who have infrequent interaction with the firm.     

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.     

Electronic Logistics Service Quality (e‐LSQ): Its Impact on the Customer’s Purchase Satisfaction and Retention

The Internet retailing industry continues to grow rapidly. Several Internet retailers are, however, struggling to retain customers due to the high level of competition among incumbents. We propose that customer satisfaction with the order fulfillment process is an important determinant of overall customer satisfaction with the retailer, as well as with the extent of customer retention enjoyed by the retailer. This paper offers a new concept for electronic logistics service quality and investigates the relationship between the quality of online fulfillment and the ensuing retention of customers, using archival data on 260 online retailers. The structural equation model results indicate that satisfaction with the physical distribution quality and cost are positively related with customer’s purchase satisfaction and customer retention. Additionally, the results indicate that while purchase satisfaction is a strong indicator of customer retention, underlying drivers of purchase satisfaction do not have nearly the same impact on customer retention directly as they have on purchase satisfaction.     

Cross-selling across stores or within a store? Impacts of cross-buying behavior in online shopping malls

Abstract

This study investigates the impacts of cross-buying behavior in an online shopping mall where customers can purchase from additional product categories from various independent stores. We focus on the extent to which store loyalty and relationship duration moderate the cross-buying effects on three behavioral traits: customers’ purchase rate, lifetime duration, and spending. The results reveal that customers who engage in cross-buying more intensely purchase more frequently, have longer expected lifetime duration, and spend higher amounts in each transaction. The impacts on purchase frequency and customer retention are even greater for customers who exhibit higher behavioral loyalty toward some stores. However, store loyalty is found to weaken the association between cross-buying and average spending. Further, relationship duration appears to weaken the effects of cross-buying on purchase rate and spending. These results provide new insights into the impacts of cross-buying on customer value as well as managerial implications for shopping mall owners.     

Managing your most loyal customer relationships

Conventional wisdom regarding customer relationships suggests that a company should strive to deepen the loyalty of its customer base. While multiple approaches have been suggested, each approach advocates moving a subset of the customer base from one level of affinity (e.g., neither satisfied nor dissatisfied) to a higher one (e.g., satisfied). While seemingly appropriate, this approach assumes that moving customers up to higher categories is important and should be the focus of a firm’s efforts. Instead, we recommend an approach that involves focusing a firm’s resources disproportionately on its most satisfied customers. This approach provides two major benefits relative to conventional approaches. First, it focuses a firm’s resources on a narrow segment of customers. Hence, it requires significantly less financial outlay and associated financial risk than any approach that is aimed at all or even a majority of customers. Second, as we demonstrate, the financial benefit from leveraging high satisfaction levels among a subset of the current customer base significantly exceeds the financial benefit of other strategies (e.g., moving customers up from neutral to satisfied). We present the results from two case studies that illustrate our main points and provide useful examples of how to leverage a firm’s highly satisfied customers.     

Influence of customer–firm relationships on customer participation in the service industry

Previous research has focused on relationship value and outcome as ‘consequence variables’ of customer participation (CP). This study examines customer–firm relationships as an ‘antecedent variable’ of CP. Early contact and relationships with customers build confidence in the service encounter and create customer trust, which leads to commitment and improves customer cooperation. Likewise, interaction and relationship building in the service encounter encourage active customer cooperation and participation in the later stages of interaction. This study analyzes the influence of relational antecedent factors affecting customer participation intention, examines the moderating effects of customer relationship proneness, and suggests some theoretical and practical implications.     

Does online relationship marketing enhance customer retention and cross-buying?

One characteristic of online consumer behavior is the low cost of searching for alternatives. Therefore, customer loyalty is more difficult to achieve in the online context than in the offline one. Although studies have discussed the effectiveness of relationship marketing, nearly all studies examining such constructs have been in the context of ‘offline’ consumer behavior. With regard to the ‘online’ context, the integration of Internet technology with the customer loyalty concept is rarely discussed in the relationship marketing literature. Furthermore, empirical research that integrates the actual purchase behavior of customer retention and cross-buying is relatively sparse. In response to this, the current study develops and empirically tests a model that examines the relations among relationship-bonding tactics, perceived relationship investment, perceived relationship quality, customer loyalty, customer retention, and cross-buying. Using survey data from 766 online customers of a securities corporation, the results demonstrate the effectiveness of relationship marketing as it positively influences online customers' perception, then their loyalty, and ultimately, their actual purchase behavior.     

Driving Trucks and Driving Sales? The Impact of Delivery Personnel on Customer Purchase Behavior

This study investigates how and under what conditions delivery persons, specifically truck drivers of a supplier firm, affect customers’ purchase behavior in industrial customer–supplier relationships. Drawing on service quality and customer contact literature, we test a proposed theoretical model that suggests a positive direct effect of personal contact quality (provided by a delivery person) on sales as well as three situational constraints that determine the occurrence and strength of the direct effect.     

Bonus gift card programs: a methodology to measure the impact on revenue and profit

Many retailers are now offering bonus gift cards to entice customers to buy more regular gift cards. The most common offers are a $5 bonus card with $25 worth of gift card purchases or a $10 bonus card with $50 worth of purchases. Unlike regular gift cards, bonus gift cards are not paid for by other customers. Bonus cards provide $5 or $10 of free credit to a customer at the firm’s expense. Most retailers do not understand the potential for cannibalization of revenue and profit when gift card redeemers use a bonus card for a purchase they would have made without it. Nor do they know what proportion of redeemers represent these cannibalized sales versus the proportion of redeemers that represent incremental purchases. We use an in-market study with a large national restaurant chain to demonstrate a methodology and model to properly evaluate the effect of bonus gift card programs on revenue and profit. We found that although bonus gift cards provide incremental revenue, they can significantly reduce profit particularly in certain retail segments. For those who wish to implement a bonus card program, we provide suggestions to maximize the potential for success.     

The role of customer gratitude in making relationship marketing investments successful

This paper recognises that customer loyalty is important for many competitive organisations, and that retail firms make investments to build and maintain loyal relationships with their existing and potential customers (e.g. loyalty programs). However, there has been little focus on the mechanisms by which these relationship investments operate to achieve customer loyalty. This paper examines one mechanism, namely customer gratitude, which works to make a firm’s relationship marketing investment a success or a failure. Using data from 1600 undergraduate students, this study empirically confirms the mediating role of customer gratitude between the customers’ perceptions a firm’s relationship marketing investments and customers’ perceptions of the value of the relationship with the firm. Further, a significant moderating effect of perceived benevolence on the relationship between customers’ perceptions a firm’s relationship marketing investments and customer gratitude was identified. For theorists, this customer gratitude model offers a better psychological explanation of how relationship marketing investments operate to improve the value that customers place on their relationships with retailers. Our research suggests that managers should invest resources to stimulate customer gratitude in order to build strong customer–seller relationships.     

How to retain customers in omnichannel retailing: Considering the roles of brand experience and purchase behavior

The opportunities and challenges of omnichannel in retail industry have been widely discussed, yet despite these benefits, the key elements that constitute an effective omnichannel and how customers respond to omnichannel retailing strategies remain unclear. This research conducted online surveys to test the effects of omnichannel elements on various brand experiences and customer retention, considering the moderating role of purchase behavior. The results indicate that omnichannel elements (integration, individualization, and interaction) are generally helpful in retaining customers, through omnichannel elements influence brand experiences differently. In addition, these omnichannel elements have different influences on customer retention due to different purchase behaviors. The findings suggest that retailers can use different omnichannel strategies to attract customers’ purchases and provide insights for practitioners who want to use omnichannel strategies to deliver superior experiences for customers.     

Better or Worse? Effects of online promotion habits on customer value: An empirical study

Online frequent and uninterrupted price discounts easily cause customers to form general tendencies to purchase promotions, or ‘online promotion habits’. Compared with offline promotion shopping, the distinct features of online promotion shopping make customer behaviours highly changeable and leave the effects of online promotion habits on customer value a puzzle. Using a dataset of real transactions from a leading online apparel retailer in China, this study makes continuous observations of customers’ online promotion habits. Drawing on the behavioural learning theory, we empirically investigate the dynamic effects of online promotion habits on customer value. The results reveal that after customers form online promotion habits, their customer value increases significantly. Furthermore, among customers with online promotion habits, online promotion habits exert an inverted U-shaped effect on customer value. Namely, as online promotion habits strengthen, customer value increases accordingly, yet negative outcomes show if online promotion habits exceed a certain level. We discuss the theoretical and managerial implications of our findings, which will enable researchers and practitioners to measure and dynamically manage customers’ online promotion habits.     

The determinants of the transportation outsourcing strategy for the express delivery company

This article explores the determinants that affect the transportation outsourcing strategy of the express delivery company in Taiwan. The results show that the following situations result in higher outsourcing probability: customer companies belonging to the high-tech industry, customers bringing higher freight revenue, customers having a better relationship with the case study company, and customers’ company having a bigger scale. The findings provide enterprises with a reference of decision making to follow in implementing the transportation outsourcing measure for different customers’ needs. The outsourcing strategy increases the flexibility of operating funds to enhance customer service quality.     

Loyalty Formation for Different Customer Journey Segments

The proliferation of new touchpoints empowers today’s customers to design their own journey from search to purchase. To address this new complexity, we segment customers by their use of specific touchpoints in the customer journey, investigate the association of several covariates with segment membership, consider the rise of mobile devices as potential “game changers” of existing segments, and explore how the relationships among product satisfaction, journey satisfaction, customer inspiration, and customer loyalty differ across segments. Based on anticipated utility theory and using latent class analyses on large-scale data from two samples of 2,443 and 2,649 journeys, we identify five time-consistent segments―store-focused shoppers, pragmatic online shoppers, extensive online shoppers, multiple touchpoint shoppers, and online-to-offline shoppers―that differ considerably in their touchpoint and mobile device usage, their segment-specific covariates, and their search and purchase patterns. The five segments remain unchanged in the two data sets even though the usage of mobile devices has increased substantially. Furthermore, we find that the relationships between various loyalty antecedents and customer loyalty differ between the segments. The insights from this paper help retailers develop segment-specific customer journey strategies.     

Now what? Evaluating the sales effects of introducing an online store

This study creates a framework for evaluating the sales impact of adding an online channel to an existing network of physical stores. Using a unique database consisting of pooled customer data from a Swedish retailer's online and offline stores, it investigates the purchase behavior of customers before and after the introduction of an online channel. The data overcome a crucial obstacle present in previous studies in that they permit matching of individual-level customer data for both online and offline behavior. The results show significant and substantial effects of online channel introduction on customer acquisition as well as on cannibalization of physical stores.     

Posted price and name-your-own-price in a product line design problem

In this research, we address Name your own price (NYOP) as a mechanism to offer products with transparent, rather than opaque, quality levels. We compare posted price (PP) and NYOP in a product line design problem from a firm’s viewpoint. We first consider the firm offering two vertically differentiated products that each can be priced by NYOP or PP. The quality level of products is considered either as a decision variable or as a fixed predetermined value for the firm. A customer correspondingly decides which product to purchase and if applicable, the bid at NYOP. We characterize both the customer’s and the firm’s decisions under four possible pricing scenarios. The results show that, it is most profitable for the firm to use PP for both products. We then consider if each product is offered by a competitive firm, where quality levels might again be decision variables or fixed. Results show that both competitive firms prefer PP to NYOP when they can create quality differentiation. The firm that offers the product with a lower quality level prefers PP to NYOP for all combinations of fixed quality levels as well. The other firm, with a higher quality level, also usually prefers PP to NYOP; However, it can be better off using NYOP when fixed quality levels are large and close enough to each other. In this case, the preference of NYOP over PP increases as customers’ willingness to pay enhances.     

E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers

Customer satisfaction has emerged as one of the most important factors that guarantee the success of online store; it has been posited as a key stimulant of purchase, repurchase intentions and customer loyalty. A comprehensive review of the literature, theories and models have been carried out to propose the models for customer activation and customer retention. Five major factors that contributed to the success of an e-commerce store have been identified as: service quality, system quality, information quality, trust and net benefit. The research furthermore investigated the factors that influence the online customers repeat purchase intention on the basis of the Means End Chain theory (MEC) and Prospect theory. By hypothesising that a combination of both utilitarian value and hedonistic values are needed to affect the repeat purchase intention (loyalty) positively, Structural equation model has been presented on the primary data collected from the Indian online shoppers. Results indicate the e-retail success factors, which are very much critical for customer satisfaction. By increasing the utilitarian value and hedonistic values derived by the customers, customer satisfaction and hence the customers repeat purchase intention can be increased significantly.     

How do customers meet their needs in in-store and online fashion shopping? A comparative study based on the jobs-to-be-done theory

Understanding customer needs is key for fashion retailers to stay competitive and innovative. Surprisingly, however, extant literature mainly explores customer needs in terms of a garment and its attributes rather than viewing shopping as a problem-solving process to meet customer needs. Moreover, these studies fail to address how customers meet their needs in-store (ISFR) and online fashion retailing (OFR). To fill this research gap, we empirically investigate customers' personal and social needs and how they can be met through the jobs-to-be-done theory. Findings reveal that, beyond the purchase of a garment, customer needs can be fulfilled through different ways, such as smart technology or a person's high interaction with social others in ISFR and the online shop experience or a social linkage without social interaction in OFR. Additionally, our findings offer potential service innovations for fashion retailing managers.