An empirical analysis of factors that influence retail website visit types

Consumers may have a variety of reasons for using a retail brand's website, including browsing, purchasing, or browsing followed by purchasing. In this study we examine visits to three different retail websites to develop a typology of website visit behaviors and reveal factors that are associated with each visit type. We find four visit types that are consistent across all brands, which we label “touching base,” “search/deliberation,” “goal-directed,” and online shopping “cart-only” visits. One of the brands has an additional visit type we term “considered visits.” The type of visit a consumer makes is influenced by a combination of marketing channels, and their visit and purchase history with the brand. For example, shoppers that are directed to a retailer's website by clicking on a search engine link (paid or organic) are more likely to make visits that are associated with a purchase goal, while visits generated by an email are more likely to be just touching base. These findings provide marketers with a more refined understanding of the different ways consumers use their websites, and the factors associated with these visit behaviors.     

The Impact of the Multi-channel Retail Mix on Online Store Choice: Does Online Experience Matter?

More and more grocery retailers are becoming multi-channel retailers, as they are opening an online alternative next to their traditional offline supermarkets. While the number of multi-channel grocery shoppers is also expanding at a fast growth rate, there are still large differences in online shopping frequency, and as a result, in the levels of experience with buying in the online grocery channel. This study wants to (i) identify the underlying drivers of online store choice and (ii) explore if and how these drivers change when multi-channel shoppers gain online grocery shopping experience. We investigate this question with an online store choice model using purchase data of an extensive UK household panel over a two-year period, covering all multi-channel retailers in the grocery market. Our results show that multi-channel shoppers, at the start of online grocery shopping, tend to select the online store belonging to the same chain as their preferred offline store, especially when the online store is strongly integrated with the offline store in terms of assortment. When online grocery shopping experience increases, multi-channel shoppers’ focus shifts from a comparison within a chain across channels to a comparison across chains within the online channel, resulting in an increasing importance of online assortment attractiveness and online loyalty when choosing an online store.     

Drivers of E-store Patronage Intentions: Choice Overload,Internet Shopping Anxiety,and Impulse Purchase Tendency

The dotcom era has infused a rapid increase in the usage of e-commerce in India, making online shopping the new way of retailing. This study investigates online consumers’ e-store patronage intentions, specifically modeling the ties from broad dispositional traits including choice overload, Internet shopping anxiety, and impulse purchase tendency among online shoppers. Based on the responses of 243 online shoppers, the findings suggest that consumers’ e-store patronage has a positive relationship with choice overload such that availability of larger assortments online results in a higher possibility of consumers’ patronage toward such e-tailers. Choice overload in the online context was also found to positively influence consumers’ impulse purchase tendency and showed a positive effect on Internet shopping anxiety. Furthermore, results indicate that the impulse purchase tendency of online shoppers had a significant positive effect on e-store patronage intentions, while Internet shopping anxiety was found to negatively affect the patronage intentions of shoppers.     

Online grocery shopping: the impact of shopping frequency on perceived risk

Online grocery shopping has enjoyed strong growth and it is predicted this channel will continue to grow exponentially in the coming years. While online shopping has attracted an abundance of research interest, examinations of online grocery shopping behaviour are only now emerging. Shopping online for groceries differs considerably from general online shopping due to the perishability and variability of the product, and frequency of the shopping activity. Two salient gaps underpin this research into online grocery shopping. This study responds to calls to investigate the online shoppers’ experience in the context of online purchasing frequency. Second, this study examines the mediating effect of perceived risk between trust and online repurchase intention of groceries. An online survey was employed to collect data from shoppers who were recruited from a multi-channel grocery e-retailer’s database. The online survey, comprising 16 reflective validated scale items, was sent to 555 frequent and infrequent online grocery shoppers. Results find that while customer satisfaction predicts trust for both infrequent and frequent online grocery shoppers, perceived risk fully mediates the effect of trust on repurchase intentions for infrequent online grocery shoppers. Furthermore, path analysis reveals that the developed behavioural model is variant across both groups of shoppers. Theoretically, we provide a deeper understanding of the online customer experience, while gaining insight into two shopper segments identified as being important to grocery e-retailers. For managers, this study tests an online customer behavioural model with actual purchasing behaviour and identifies the continued presence of perceived risk in grocery e-retailing, regardless of purchase frequency or experience.     

Online Shoppers' Perceptions and Use of Comparison-Shopping Sites: An Exploratory Study

Comparison-shopping sites currently offer online shoppers various combinations of free services such as price comparisons, merchant ratings, links to e-tailers’ websites, and/or customer reviews in the search results page(s). The utility and market values of shopping comparison sites have attracted Internet giants such as eBay, Google, and Yahoo to the extent of developing or acquiring such sites. Scholarly research on comparison-shopping sites has focused on (1) trust in online recommendation agents, and (2) methods used by electronic agents to produce the recommendations. Our study explored how online shoppers’ attitudes toward comparison-shopping sites impact perceived credibility and usefulness of these sites. We also examined online shoppers’ merchant selection criteria and their likelihood to continue using comparison-shopping sites. One interesting finding from our study was that merchants need to be strong on site ratings and brand awareness to appeal to a wide online market. The finding dispelled the notion that e-tailers presented by shopping comparison sites need to compete, basically, only on price.     

Determinants of Online Shopping Influencing Thai Consumer’s Buying Choices

With the ease and availability of high-speed Internet service, online shopping is increasing rapidly. Consumers are moving to more intensive use of the Internet as the technology becomes more accessible, the availability of information increases, and the ability to interact through the Internet evolves. The success of online businesses relies heavily upon its ability to attract customers to complete purchase transactions on their websites. Even though the number of people who use the Internet every day and visit various shopping sites increases daily, it is interesting to note that quite a few of them still hesitate to purchase online. This study intends to examine what factors play a crucial role in encouraging or discouraging consumers in Thailand from shopping online. The findings from this study should help online businesses better understand the mindset of Thai consumers and find ways to improve websites in order to attract more customers.     

Buying Groceries in Brick and Click Stores: Category Allocation Decisions and the Moderating Effect of Online Buying Experience

The large majority of online grocery shoppers are multichannel shoppers who keep visiting offline grocery stores to combine convenience advantages of online shopping with self-service advantages of offline stores. An important retail management question, therefore, is how these consumers divide grocery purchases across the retailer's online and offline channel. We provide a comprehensive analysis of the impact of category characteristics on the allocation pattern of multichannel grocery shoppers and find that category allocation decisions are affected not only by marketing mix differences between the online and offline channel, but also by intrinsic category characteristics like perceived purchase risk and shopping convenience. In addition, we examine the effect of online buying experience. In line with expectations, we find that it can affect allocation patterns in different ways: (i) it attenuates the perceived risk of buying sensory categories online, thereby reducing differences in online category share, (ii) it reinforces marketing mix (assortment) effects, thereby making online category share differences more pronounced, and (iii) it has no effect for factors such as promotions that are easy to evaluate without experience, thereby leaving the online category share stable. In addition to different experience effects across allocation factors, we also observe variations in experience effects across consumer segments.     

Studying patterns of consumer's grocery shopping trip

Previous research on (grocery) shopping trips has focused on studying the relationship between shopping frequency and shopper's demographic characteristics. Recognizing that shoppers are heterogeneous in terms of their shopping trip regularity as well as shopping frequency, we propose a mixture model of the exponential and the Erlang-2 distribution with heterogeneous frequency for shopping trip intervals. Applied to IRI (Information Resources, inc.) shopping trip data, we found that 70 percent of shoppers visit grocery stores with random intervals and 30 percent with relatively fixed intervals. We also found clear differences between these “random” and “routine” shoppers in terms of several demographic and purchase behavioral characteristics. The “routine” shoppers are identified to have higher opportunity costs which make it difficult for them to visit grocery stores more often and/ or to switch stores. However, they spend more dollars for a given shopping trip. Finally, we discuss managerial iniplications of segmenting shoppers by their shopping trip regularity.     

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.     

Comparing online and non‐online shoppers

A web‐based survey was completed by 130 faculty and staff from a university located in the south‐eastern United States. The purposes of this study were to investigate: (a) consumer characteristics related to online shopping; (b) benefits of online shopping as perceived by online shoppers; and (c) concerns about online shopping as perceived by non‐online shoppers. Responses were analysed using SPSS for tests of chi‐square. Findings suggest that the differences between online shoppers and non‐online shoppers correspond with Rogers’ 1 categories of adopters, and that the educational needs of consumers also differ based on their previous experience with online shopping.     

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.     

Hedonic and utilitarian use of user-generated content on online shopping websites

The Internet has made it possible for consumers to share reviews, opinions, and thoughts about products and services on online shopping websites. This user-generated content (UGC), which can be considered to be part of social commerce, is likely to influence other consumers’ attitudes toward a product and subsequent purchase intentions. The purpose of this study was to investigate two major uses of UGC: hedonic and utilitarian, and how they impact purchase intentions, along with users’ trust for different types of comments and reviews. Also investigated are associations between hedonic use, utilitarian use, and trust, with purchase behavior at online shopping websites. Results of this study will add to the domain knowledge related to marketing and how it impacts consumer psychology and behavior. From a practitioner perspective, marketers need to understand the impact of UGC so they can monitor this method of marketing communication as it can impact trust and purchase intentions.     

Fundamental patterns of in-store shopper behavior

This research confirms empirical patterns about in-store behaviors based on a large number of shops and store visits, specifically 654,000 transactions in 40 supermarkets, hypermarkets, convenience and specialty stores in the USA, UK, China, and Australia. Integrating new data with past findings highlights that: (i) many shopping trips are short; (ii) shoppers typically only cover a small proportion of the store on any trip, and (iii) the heterogeneity of key behavioral measures (store coverage, number of items bought, and trip length) is generalizable across countries, most store formats, and store size. These patterns can help retailers and manufacturers benchmark and predict behavior and provide a base for further theoretical developments.     

Social media or shopping websites? The influence of eWOM on consumers’ online purchase intentions

This study empirically tests and compares the influence of friends’ recommendations on social media and anonymous reviews on shopping websites in the context of online purchase intention. For this purpose, we analyse the impacts of these two platforms based on the components of information adoption model (IAM) which are borrowed as information quality, information credibility, information usefulness and information adoption. We conduct a survey and find anonymous reviews as more influential on consumer’ online purchase intentions than friends’ recommendations on social media. However, as this result was contrary to that expected, we conduct another study through in-depth interviews in order to enlighten our results found in the first study. In Study 2, we find the reasons why consumers prefer anonymous reviews rather than friends’ recommendations. Information quantity, information readiness, detailed information and dedicated information are factors which make shopping websites superior than social media in terms of the impact of electronic word of mouth (eWOM). Academic and managerial implications are discussed.     

‘Online Omnivores’ or ‘Willing but struggling’? Identifying online grocery shopping behavior segments using attitude theory

The landscape of grocery shopping is changing fast. Online retailing via home delivery or ‘click and collect’, convenience stores and various hybrid shopping channels are gaining popularity with some consumers, but not with others. The central premise of this paper is that focusing on the ‘average grocery shopper’ is not very helpful if the objective is to understand recent and future changes in grocery shopping. There are few recent studies that have identified groups of individuals using online and multi-channel shopping by considering both observable behavior and associated attitudes – feelings, beliefs, opinions and behavioral dispositions – and by drawing explicitly on attitude theories from social psychology. The current paper thus aims to identify and describe groups of grocery shoppers using a psychographic segmentation approach that is explicitly grounded in the Theory of Planned Behavior (TPB) (Ajzen, 1991) and its close cousin, the Technology Acceptance Model (TAM) (Davis et al., 1989). Primary data were collected through a self-completion questionnaire that produced a largely representative study sample of 2032 grocery shoppers across the United Kingdom, Europe's largest market for online grocery shopping. A principal component and two stage cluster analysis methodology was implemented to identify five well-defined and highly interpretable segments according to their attitudes, norms, perceptions and beliefs, then profiled by their socio-economic and grocery shopping characteristics. The segments reveal a range of different grocery shopping preference levels, from those ‘super-shoppers’ (Flynn and Goldsmith, 2016) who are clearly attracted to the online experience and want more (‘Intensive Urbanites’, ‘Online Omnivores’) to those who appear resistant and socially responsible towards the adoption of online shopping services (‘Resisting and Responsible’). The key distinguishing features of these segments suggest that shoppers might be attracted to or repelled from online shopping for reasons of convenience, perceived benefits, costs and risks, technology affect, time pressures and fit into daily schedules (perceived behavioral control), as well as social and environmental dimensions of personal norms and beliefs.     

Driving Goal-Directed and Experiential Online Shopping

Goal-directed and experiential online shopping are two general categories of consumer behavior on the Internet. Internet stores promoting online transactions may face challenges regarding how to satisfy distinct online shoppers. This study develops a dual-state of cognitive and affective reactions to online services and flow experiences to predict goal-directed and experiential online consumer behavior. This survey mailed 300 questionnaires to a random sample of volunteers with substantial online shopping experience. Of these, 150 samples were returned for data analysis. Empirical results from the survey indicate that the dual-state of online services is more appropriate for assessing goal-directed purchase intentions than for examining the willingness to purchase experientially. In contrast, the dual-state of flow experiences is better at assessing goal-directed purchase intentions and the willingness to purchase experientially. Finally, this study features implications for academics and practitioners.     

Website attributes that increase consumer purchase intention: A conjoint analysis

Prior studies investigate factors that affect consumer preferences in online shopping websites. However, prior studies, due to their methodological limitations, do not thoroughly investigate consumer preference structures that reflect the relative importance of attributes and features of shopping websites. By synthesizing prior literature, this research proposes and investigates a comprehensive list of attributes and features of shopping websites that increase consumer purchase intention. This research used IT-based platforms for data collection, and collected data from university students. Data analysis enabled us to categorize consumers that use online shopping websites into three groups based on the attributes they prefer. Consumers with different levels of computer expertise also showed differing preference structures. This research has implications in both research and practice.     

Impulsive purchasing in grocery shopping: Do the shopping companions matter?

Impulsive purchasing occurs when consumers succumb to urges to make purchases without careful evaluation. Unlike research examining personal factors as the predictors of impulse purchase behavior, our study incorporates internal and external factors by exploring the interpersonal influences of different types of shopping companions. A survey was conducted with 791 participants who indicated the types of companions they accompany when grocery shopping and reported how each type influences their purchase decisions. Results show that parents and spouses are the most common shopping companions and the most influential on the shoppers' impulse purchase decisions compared to other types of companions (e.g., significant others, colleagues, children, friends, and other shoppers). Additionally, the effect of different shopping companions varies based on the shoppers' internal characteristics and the social distance between the shopper and the shopping companion. Finally, while individual factors (e.g., age, gender, income, education, impulsivity, and emotional susceptibility) significantly affect shoppers’ impulse purchase decisions, the magnitude and direction of the effect of these factors differ significantly based on the type of shopping companion.     

A model of adolescents' online consumer self-efficacy (OCSE)

This paper investigates adolescent online shopping and self-efficacy development in the virtual setting. The authors present and test a model of antecedents and mediators to two dimensions of online consumer self-efficacy. Additionally, a discriminant analysis finds that more involved adolescent online shoppers can be differentiated from less involved online shoppers on key variables of interest-shopping motivations, self-efficacies, shopping behaviors, and relative influence in household decision-making.     

Fast-Expanding “Online” Markets in South Korea and China: Are They Worth Pursuing?

The online shopping craze in South Korea has been ongoing for more than a decade, but in China, online shopping is experiencing tremendous growth, with 64 million additional shoppers per year. Consumers in Asia are among the world's most prolific online shoppers. This study compares the evolution, cycle, and stages of the online shopping markets in South Korea and China. Using the fast-expanding market model as an initial analytical framework and multiple case approach, we find that Chinese online shopping corresponds to the take-off stage of a successful cluster, in which significant opportunities are still present in Chinese Tier 3 and Tier 4 cities. Conversely, the South Korean online market is nearing saturation, though major foreign players are still entering this perceived lucrative marketplace. © 2016 Wiley Periodicals, Inc.