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This study aims to understand the degree of predictability and value in analyzing consumer purchase patterns in the US wine retail market. The study considers whether brands in US wine retailing follow the well-established Duplication of Purchase Law and Double Jeopardy Law.

Over 20,000 customer panel wine purchases were analyzed from a number of locations within a supermarket chain based on the West Coast of the USA. Cross-purchasing behavior for the top 20 wine brands by market penetration was analyzed to assess whether the well-established Duplication of Purchase Law and Double Jeopardy Law hold up in this wine retail setting in the USA. The degree of predictability and the existence of anomalies in expected cross-purchasing behavior were identified in the analysis.

Results confirmed a Double Jeopardy pattern and that wine cross-purchasing patterns for the most part followed the Duplication of Purchase Law. However, exceptions to these patterns were found, which indicated areas in need of managerial attention due to the potential to remedy, develop or monitor the most prominent variations between predicted and realized cross-purchasing behavior. Repeated identification of variations has been identified in other product categories, known as market partitions.

Although it is commonly believed that wine is a unique product category, the results of this study demonstrate that consumer behavior toward wine is similar to other fast-moving consumer goods. The exceptions suggest that while similar consumer purchase patterns are evident, consumers are more likely to cross purchase wine brands and grape types more than would be expected given Duplication of Purchase Law benchmarks.

The purpose of this paper is to examine how family communication patterns and lifestyles are linked to purchases of sports shoes and casual clothing for young adults.

The survey was conducted in 2005, and total valid samples were 576. Differences in purchasing decisions among various segments of young adults are analysed for two product categories: sports shoes and casual clothing.

This study segments the respondents into two clusters, pragmatic and fashion‐cognisant. The family communication patterns for respondents in the pragmatic cluster are more likely to be low concept‐oriented, Protective and Laissez‐faire. The respondents in the pragmatic cluster purchase sports shoes and casual clothing less frequently, and pay less attention to marketing‐related information. The fashion‐cognisant respondents pay special attention to the marketing‐related information and brands can be influential in decisions. These fashion‐cognisant young adults are considered to be opinion leaders, and purchase sports shoes and casual clothing more frequently with higher budgets. The family communication patterns of respondents in this cluster are high concept‐oriented: Pluralistic and Consensual.

Strategic marketing designed to attract pragmatic young adults can follow two directions: atmosphere in stores and discounts. For young adults who are fashion‐cognisant, directions of strategic marketing are to strengthen the brand image and utilise advertising to disseminate information.

This study provides new insights into the area that has not been studied exclusively, the linkages of family communication patterns and lifestyles to purchases of sports shoes and casual clothing.

Properly conceived, conducted and interpreted, motivation research can be an extremely powerful management tool, designed to help the manufacturer or advertiser to sell more goods. Its aim is to expose the market situation, explain it and suggest courses of action which will lead to desired changes. It is a way of looking at a problem rather than a collection of specialist techniques and is strictly practical. Hence it can be used alongside other market research tools for the solution of marketing problems and can be applied to a wide range of business activities. Much of its development has been in the advertising field but it can also help in the formulation of production policy, solving packaging problems and marketing operations. It is examined here in all these contexts. The idea of motivation research, the reasons for its use and the techniques by which to apply it are discussed, as well as the pitfalls that are likely to occur. New and imaginary case studies are used throughout to illustrate points. A review of the subject literature is included.

This study aims to understand the market structure and explore the applicability of recognised generalisations to a European wine retail market. The study considers whether brands in European wine retailing follow the established double jeopardy and duplication of purchase laws, with the aim of investigating their limits so as to identify where market partitions are evident.

The researchers conducted a cross-purchasing analysis within the wine category over a 12-month period, using a customer panel of n = 25,000 across a chain of independent retail stores in an English-speaking European country. Analysis was conducted across purchases of the top 20 wine brands.

Consumer wine repurchase results confirmed a double jeopardy pattern. These consumers’ wine repurchasing behaviour from other top-20 wine brands could have generally been predicted in line with the duplication of purchase law. However, a small number of exceptions to these patterns were identified, suggesting the existence of market partitions.

In this study, market partitions were evident for selected brands, a wine region and a common grape variety, Sauvignon blanc. Such exceptions illustrate that consumer purchase patterns can deviate from predictions, for a small number of brands in a consumer goods category than would be expected given duplication of purchase law norms. Such anomalies to empirical generalisations help demonstrate boundary conditions and lead further research on the market conditions required for such anomalies to be evident. Implications suggest that further research should be conducted on the product features creating market partitions.

The findings suggest that regional wines can appeal to a more clearly partitioned customer group within the clientele, but that substitution is noted among brands within regions.

To the best of the authors’ knowledge, this is the first study to use a large sample consumer database to determine the generalisability of two well-established empirical generalisations: the double jeopardy and duplication of purchase laws, to the wine retail market. Knowing these are applicable to the wine retail markets allows wine producers and retailers to predict expected repurchase and cross-purchasing norms.

The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is utilized to handle the vast amount of customer behavior data.

In order to extract customer behavior patterns, customers’ browsing history and transactional data from digital signage (DS) could be used as the input for decision making. First, the authors developed a DSOS and installed it in different locations, so that customers could have the experience of browsing and buying a product. Second, the real-time data processing system gathered customers’ browsing history and transaction data as it occurred. In addition, the authors utilized the association rule to extract useful information from customer behavior, so it may be used by the managers to efficiently enhance the service quality.

First, as the number of customers and DS increases, the proposed system was capable of processing a gigantic amount of input data conveniently. Second, the data set showed that as the number of visit and shopping duration increases, the chance of products being purchased also increased. Third, by combining purchasing and browsing data from customers, the association rules from the frequent transaction pattern were achieved. Thus, the products will have a high possibility to be purchased if they are used as recommendations.

This research empirically supports the theory of association rule that frequent patterns, correlations or causal relationship found in various kinds of databases. The scope of the present study is limited to DSOS, although the findings can be interpreted and generalized in a global business scenario.

The proposed system is expected to help management in taking decisions such as improving the layout of the DS and providing better product suggestions to the customer.

The proposed system may be utilized to promote green products to the customer, having a positive impact on sustainability.

The key novelty of the present study lies in system development based on big data technology to handle the enormous amounts of data as well as analyzing the customer behavior in real time in the DSOS. The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is used to handle the vast amount of customer behavior data. In addition, the present study proposed association rule to extract useful information from customer behavior. These results can be used for promotion as well as relevant product recommendations to DSOS customers. Besides in today’s changing retail environment, analyzing the customer behavior in real time in DSOS helps to attract and retain customers more efficiently and effectively, and retailers can get a competitive advantage over their competitors.

Previous research on age-related loyalty is sparse, contradictory and suffers from methodological limitations and criticisms. This study aims to apply two methodological advances to fresh purchasing data to give a much clearer picture of age-related differences in brand loyalty.

An online brand choice survey (n = 1,862) is used to examine age-related loyalty within three low-involvement categories in New Zealand. The polarisation index (φ) is adopted as the measure of loyalty to control for confounding influences present in prior research. Results for chronological age are validated through comparison with results for measures of cognitive, biological and sociological age, as well as household life cycle.

Contrary to prior research, age-related differences in loyalty are detected in two of the three low-involvement categories studied. The third category does not show detectable loyalty for any age group. Although differences in brand loyalty are broadly present across all age measures, no alternative measure outperforms chronological age in detecting variations in age-related loyalty.

To the best of the authors’ knowledge, this is the first evidence that age-related brand loyalty is present in low-involvement categories. However, effects are small and easily obscured by confounding factors. More research is needed to determine how results vary by category.

Despite showing minor differences in loyalty, older consumers still purchase from a wide portfolio of brands and so should not be ignored by marketers. Future research can investigate loyalty for older consumers by adopting the method of analysing differences in polarisation (φ) for chronological age groups.

Previous contradictory findings and methodological concerns about measurement of age-related loyalty are resolved through use of the polarisation index (φ) as a measure of loyalty and by confirmation that chronological age performs as well as any other age measure.

This research aims to study the recent changes in consumer behaviour and purchase pattern during the Covid-19 pandemic. Covid-19 pandemic has forced consumers to stockpile, which has its own consequences. The article proposes the importance of “minimalism in consumption” to avoid greed in consumer behaviour.

The data are collected from consumers across India using an online survey during the first lockdown from March 2020 to May 2020. A simple random sampling technique is used for data collection, and the collected data are analysed using SPSS version 26.

The study states that there will be a shift in the purchase pattern of the consumers if lockdowns are imposed in the future or during any other crisis. However, at present, consumers have developed a stockpiling mentality fearing the unavailability of essentials.

Pandemic has stimulated a drastic change in consumer behaviour, which is a situational effect. Each crisis affects consumer behaviour in a different way. In this research, we have considered only fear, greed and anxiety in the light of Covid-19. On the other hand, the research intends to draw realistic conclusions based on consumers' experiences during the lockdown.

The study proposes solutions that will help marketers frame exclusive strategies for a future crisis. Analysing the change in consumer behaviour and the shift in purchase patterns will emphasize the importance of market research to know consumer expectations during a crisis situation in order to cater to their new demands.

Consumers who stockpile should realize the unavailability of goods to other consumers who are in need. They also have to understand the importance of “minimalism in consumption” during a crisis.

The data are collected during the most taxing crisis, the Covid-19 pandemic. Data are collected at the peak time of the first wave of Covid-19 in India, during a major shift in consumers' behaviour and purchase pattern. The article brings to the larger consciousness and also preaches a life lesson to all consumers to execute their responsibilities in consumption without over-demands and expectations.

Over the last 30 years a range of empirical generalisations has been developed about the performance of competitive brands in frequently purchased product categories. These generalisations have been based mainly on European and US data, and this paper addresses the question of whether they also hold in Australia and New Zealand. We examined consumer panel data from four different markets (supermarkets, department stores and retail fuel in Australia and retail fuel in New Zealand) and found similar patterns to those in Europe and the USA, although there were some minor exceptions, and also some interesting variations between markets. Our results suggest that there is much that Australasian marketers can learn from using models such as the Dirichlet, which was developed in the Northern hemisphere, to identify norms and exceptions in their own markets.

Investigates the purchasing of brands across different price tiers. The purpose was to determine if buying across price tiers followed the same pattern widely found in brand purchasing, known as the Duplication of Purchase Law.

Uses a consumer survey methodology, using bottled wine as an example category. It provides evidence that while buyers exhibit repeat‐purchase loyalty to price tiers, they also buy from a repertoire of different price tiers.

Finds that sharing of purchases with other price tiers does approximate the Duplication of Purchase Law. That is, a price tier shares customers with other price tiers approximately in line with the overall popularity of those other price tiers. This suggests that competition between price tiers is largely predictable, and based on the prevalence of purchases at each tier. However, there is also consistent “partitioning” where adjacent price tiers share customers to a greater extent than would be expected under the Duplication of Purchase Law.

This research is valuable to both marketers and researchers, as it provides a quantifiable context and structure to those examining competition from a pricing perspective. It provides insights into where new brands should be launched and potential cannibalization effects. Finally, the presence of a price repertoire suggests that researchers should be wary of categorizing buyers to specific segments based on single answers to questions about “last” or “typical” price paid for purchases. Several fruitful areas for further research also emerge from this study, in particular the examination of what price levels or tiers actually constitute break‐points in markets, whereby brands residing in one tier are recognized as markedly different to those in other tiers.

The present study investigates changes in the shopping behavior of today’s mall patrons as opposed to those in the early 1990s. Data collected in the sample surveys included respondents’ demographic attributes, shopping motivations, situational factors, and purchase behaviors. Although no differences were found between the demographics of the respondents in the earlier and later periods, we discovered significant differences in shopping patterns and purchase behaviors. Compared with the shoppers in the early 1990s, today’s mall patrons tend to be more leisure driven, they have a greater concern for merchandise selection, and they visit the mall less often but make more purchases per visit. The findings also reveal that situational variables are more likely to have an impact on shoppers’ purchase decisions today than they did before. Based on the study’s findings, we suggest a number of pragmatic strategies to aid store and mall managers in their marketing efforts with regard to consumers today.