An Examination of Consumers' Motives to Switch Energy Suppliers

In most European countries, the energy industry continues to undergo dramatic changes. Customer relationship management concepts and their central focus - customer retention - are playing an increasingly significant role in the marketing considerations of energy supply companies. However, little is known about the reasons why customers remain loyal to a particular energy supplier or why they switch suppliers. The purpose of this study was to identify customers' switching motives, to investigate the relationship between customer satisfaction and switching intentions as well as to identify switching segments. A total of 462 customers of a German energy supplier were surveyed regarding their perceptions and future intentions in relation to their energy provider. Results using regression analysis show that customer satisfaction had a significant effect on switching intentions. Cluster analysis identified three distinct switching clusters; dissatisfied customers, relative satisfied customers seeking change, and dissatisfied customers seeking change. Results of this study are discussed in light of its theoretical as well as practical implications.     

Functional forms of the satisfaction–loyalty relationship

The linear functional form of the effect of customer satisfaction on repurchase intentions may not be adequate under all circumstances; however, we lack a clear understanding of the factors that may drive variation in the functional forms of the satisfaction-loyalty relationship. Building on existing research, the authors consider how the functional form of the effect of satisfaction on repurchase intentions varies across segments formed at the intersection of product categories and customer economic and demographic variables. A comprehensive data set obtained from the sponsors of the Chinese Customer Satisfaction Index provides the input for a flexible cubic regression configuration to model the functional forms. The linear functional form emerges as the most prominent across 972 product-customer segments (51%), followed in frequency by the S-shaped and convex forms and, finally, the inverse S-shape and concave forms. Different product category characteristics, customer economic and demographic variables, and market characteristics moderate the effect of satisfaction on repurchase intentions differently for the linear, quadratic, and cubic terms. This research reveals key resource allocation implications based on the functional forms of the effect of satisfaction on repurchase intentions, as well as strategic segmentation implications related to the varying influence of product category characteristics, customer economic and demographic variables, and market characteristics.     

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.     

User Reviews Variance,Critic Reviews Variance,and Product Sales: An Exploration of Customer Breadth and Depth Effects

Online user reviews constitute a new element of the marketing communication mix that can significantly affect product sales. A general consensus holds that positive user reviews valence benefits product sales, yet the effect of variance is less intuitive and current findings are mixed. We propose that user reviews variance actually constitutes a double-edged sword that can either hurt or help product sales, depending on the variance of critic reviews and other quality signals. Three complementary studies in multiple industries (movies, digital cameras, and books) with multiple methods (secondary data analysis and behavioral experiment) reveal three key insights in this setting. First, after recognizing a high variance in user reviews, many potential buyers may simply exclude the focal product from their consideration sets for fear that it does not match their needs and preferences, which is termed the customer breadth effect. Second, high user reviews variance, in combination with high critic reviews variance, can elicit a sense of uniqueness and thus enhance purchase intentions of some consumers, which is termed the customer depth effect. Third, quality signals (e.g., product cost and product extension) can strengthen the positive customer depth effect. The overall effects of user reviews variance, therefore, can be negative, insignificant, or even positive. These findings have important theoretical and managerial implications.     

Storytelling during retail sales encounters

Many researchers have emphasized the importance of communication in personal selling. Psychologists and researchers in management and advertising have recognized the importance of communication via stories, but this has not extended to research in sales. This paper uses a framework developed from exploratory field work and the literature on stories to investigate storytelling by retail salespeople in three similar experimental studies. The experiments manipulate personal versus business stories across three different topic areas: entity, product, and digression. The results suggest that product stories told from a business point of view may be most effective in enhancing consumers’ purchase intentions in onetime sales encounters.     

It is different than what I saw online: Negative effects of webrooming on purchase intentions

Webrooming is a two-stage shopping process that begins with examining product options online followed by making a purchase at an offline store. In four experiments, we investigate webrooming effects on product evaluation and purchase intentions. The results suggest that webrooming (vs. non-webrooming) has negative impacts on (1) perceived product performance vis-à-vis expectations and (2) purchase intentions for the products offline. Our moderated-mediation analyses show that webrooming leads to lower perceived product performance, which in turn results in lower purchase intentions, and participants’ Need for Touch (NFT) moderates the negative mediation effect, which is stronger with instrumental NFT than autotelic NFT. However, this moderated-mediation effect is attenuated when products are searched across multiple categories. These findings contribute to the marketing literature by providing a more nuanced understanding of how two-stage, webrooming behavior affects consumers’ cognitions and purchase decisions. They also provide several managerial implications that when controlling for time intervals between the stages, (1) webrooming may adversely affect retailers’ business outcomes when webrooming within a single (e.g., blankets), related (e.g., baby products), and unrelated product categories; (2) thus, creating an integrated online-to-offline cross-channel customer experiences is critical to minimize the negative webrooming effects on final sales.     

Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos

The present study attempts to examine how the various emotions expressed in customer engagement content available on online product review videos reflect purchase intentions. The study identified 97 popular review videos of different technical products on YouTube, with a total of 93,181 comments posted between January 2018 and June 2021. After filtering, the final set of data consisted of 18,452 comments. The paper employed both Poisson and negative binomial regression to test the hypotheses and strengthen the findings. The study explores new insights for predicting purchase intentions of potential customers with the help of a four-factor model based on customer engagement content available on online product review videos. Thus, this research supports the applicability of MRT, CET and SOR theories in the existing literature on retailing and e-tailing by developing a four-factor model. A wide range of consumer responses, both quantitative and qualitative, have been taken into account to predict purchase intentions using sentiment analysis, which makes this study unique and robust. Additionally, the paper entails several significant managerial implications for retailing and e-tailing firms to reformulate their marketing strategies.     

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.     

Capturing the Evolution of Customer–Firm Relationships: How Customers Become More (or Less) Valuable Over Time

Few studies have examined the influence of marketing activities while accounting for customer dynamics over time. The authors contribute to this growing literature by extending the hurdle model to capture customer dynamics using a hidden Markov chain. We find our dynamic model performs better than static and latent class models. Our results suggest the customer base can be segmented into four segments: Deal-prone, Dependable, Active, and Event-driven. Each segment reacts differentially to marketing activities. Although catalogs influence both purchase incidence and the number of orders, this marketing activity has the largest impact on purchase incidence across all four segments. In contrast, retail promotions are more likely to influence the number of orders a customer will make for all of the segments except for the Deal-prone segment. For this segment, retail promotions have the strongest impact on purchase incidence.     

The Mediating Role of Customer Relationship on the Social Media Marketing and Purchase Intention Relationship with Special Reference to Luxury Fashion Brands

The reach of internet technology and social media has opened abundance of opportunities for marketers as well as for consumers across the globe. To anticipate future purchase behavior of consumers, marketers are not leaving any stone unturned. The main objective of this study is to investigate the direct and indirect impacts of social media marketing activities (entertainment, customization, interaction, word of mouth, and trend) on consumers' purchase intentions in luxury fashion brands. This study employed higher order Structural Equation Modeling to test the study model with (n = 243) sample data. We found positive significant impacts of social media marketing and customer relationships on consumers' purchase intentions. In addition, our study model confirmed full mediation of customer relationships in the relationship between social media marketing and consumers' purchase intentions. Based on our research findings, we strongly recommend that marketers of luxury fashion brands engage in social media marketing activities to provide value to customers.     

Scarcity tactics in marketing: A meta-analysis of product scarcity effects on consumer purchase intentions

Scarcity tactics are an essential tool for marketers. Cues that signal the current or potential unavailability of a product generally enhance its value and desirability and in turn increase purchase intentions. While there have been earlier reviews, the fragmented nature of the research to date means there is no cohesion across findings. Given that retailers employ a variety of scarcity cues in a diversity of settings, it is important to identify the magnitude of the effect of scarcity cues and how the effect on consumers’ purchase intentions changes across conditions. This research presents a meta-analysis of 416 effect sizes from 131 studies. Results show that demand-based scarcity is most effective for utilitarian products, supply-based scarcity for experiences, and time-based scarcity for high involvement products. The results show that managers need to consider the above factors to maximize the success of scarcity tactics in their marketing campaigns.     

Modeling and Promoting Organic Food Purchase

This study aims at enhancing organic food product (OFP) purchase by identifying customer segments based on their knowledge and attitude related to organic food along with their demographic profile. Two scales for measuring Knowledge and Attitude related to organic food were developed to measure their levels. The scales have covered six dimensions of organic food: Healthy, Eco-friendliness, Price, Availability, Certification, and Brand. After identifying the customer segments, each segment was further segmented based on their media consumption behavior. Hierarchical followed by K means cluster analysis resulted to six distinct segments with their corresponding subsegments. Cluster analysis was again performed for each customer segment, and a media selection method (MSM) was evolved to effectively communicate with OFP customers. These methods can guide marketers in devising an appropriate communication plan for enhancing OFP purchase.     

Customer retailer loyalty in the context of multiple channel strategies

With an increasingly competitive retail environment and decreasing customer switching costs, customer retailer loyalty is a critical goal for merchants of all types. We investigate customer retailer loyalty in the context of multiple channel retailing strategies. Results show that multiple channel retail strategies enhance the portfolio of service outputs provided to the customer, thus enhancing customer satisfaction and ultimately customer retailer loyalty. These results suggest that multiple channel retailing can be a useful strategy for building customer retailer loyalty.     

Appreciating Anonymity: An Exploration of Embarrassing Products and the Power of Blending In

While most research suggests using ostentatious packaging as a strategy to increase sales, using such packaging for embarrassing products can actually decrease purchase intentions. Five studies explore two components of packaging that influence product anonymity and the relationship between anonymity, embarrassment, and purchase intentions. The studies use a variety of methods including one field study, three scenario-based experiments, and one virtual reality video study with a behavioral component. This research contributes to retailing literature by examining the effect of packaging dimensions on product anonymity and the subsequent impact on embarrassment and purchase intentions. We consistently show more anonymously packaged products are perceived as less embarrassing and are more likely to be purchased than less anonymously packaged products. Consumers are able to circumvent undesirable stigmas associated with embarrassing products by selecting products that are more anonymously packaged and positioned in the store. Additionally, increased sales due to product packaging differences are more likely when an embarrassing product is positioned in an aisle versus on an endcap. Promotional incentives, such as coupons, in-store discounts, or bonus buys, can mitigate the negative effect of embarrassment onto purchase intentions. These findings have important implications to our understanding of shopper behavior when threatened with embarrassment.     

网络营销策略:消费者行为黑箱与客户满意度

电子商务的快速发展给网络营销提供了商业平台,同时也要求网络营销采取面向客户关系、网络营销成本与风险管理以及提升客户满意度等方面的营销策略。在分析网络营销特性基础上,通过对消费者行为模式和购买过程以及消费者行为黑箱分析,提出了相应网络营销策略。最后指出,网络营销应结合传统营销策略、虚实结合、差异营销,“一对一”客户交流等措施,以提升网络客户满意度。     

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.     

The Perfect Fit: The Moderating Role of Selling Cues on Hedonic and Utilitarian Product Types

With the need among retailers to create effective promotional campaigns, scarcity, and popularity cues are increasingly used. Drawing from regulatory focus and popularity versus scarcity cues literature, this research explores the impact of popularity versus scarcity cues and product types on consumer perceptions of risk, product uniqueness, and purchase intentions. Results from three studies provide primary insights: (1) A utilitarian product aligns with prevention goals and hence the popularity cue will enhance consumers’ purchase intentions, and (2) a hedonic product aligns with promotion goals and hence the scarcity cue will enhance consumers’ purchase intentions. Further, we theorize that perceived risk and perceived product uniqueness will act as psychological mechanisms. We discuss theoretical contributions and strategic insights for retailers and marketers that the findings indicate.     

QUALITY,OPERATIONAL LOGISTICS STRATEGY,AND REPURCHASE INTENTIONS: A PROFILE DEVIATION ANALYSIS

Emerging thoughts on quality suggest that three principal sources of customer‐based value creation exist for firms operating in the online marketplace. These include a focus on delivering (1) service quality, (2) product quality, and (3) eBusiness quality. Drawing on strategic choice theory coupled with configuration theory, we conducted a profile deviation analysis among customers of online grocery firms using the “ideal” quality profile for four operational logistics strategies as the benchmark (semi extended strategy, fully extended strategy, de‐coupled strategy, and centralized extended strategy). The findings suggest that service, product, and eBusiness quality‐based fit with operational logistics strategy type are associated with customers' behavioral (repurchase) intentions. This lends support to the notion that capitalizing on the appropriately weighted quality‐focus represents a strategic vehicle to create superior outcomes in online businesses. The makeup of these ideal quality profiles that represent the strongest repurchase intentions of customers is also provided.     

Uniform pricing effect: The influence of uniform pricing on product value judgement and purchase intention

Uniform pricing, which is a pricing strategy that sets a unified price for all products in the store or all products in the same category, is becoming increasingly popular over the past decades. However, scarce attention has been paid to investigating its impact on consumer behaviour. This research investigates the influence of uniform pricing on product value judgements and purchase intentions. Four studies demonstrate that uniform pricing (vs. non-uniform pricing) could induce stronger promotion perception, which leads to more positive product value judgements and purchase intentions. Moreover, price sensitivity and product involvement moderate this effect, and this effect only exists for high price-sensitive consumers and low product involvement consumers.