The influence of price and brand loyalty on store brands versus national brands

Abstract

This article investigates how price and brand loyalty of three frequently purchased product categories can influence the purchase decision process of store brands versus national brands. A multinomial logit model was constructed to analyse the data obtained from a consumer panel. The results confirmed that brand loyalty is the main variable which influences the purchase decision process of both national and store brands. The influence of price on the purchase decision process is product specific. There is a clear distinction between the buyer's profile of store brands and national brands. But there is no evidence of any correlation between demographic variables and national brands or store brands.     

Consumer brand engagement and its social side on brand-hosted social media: how do they contribute to brand loyalty?

ABSTRACT

Social media offer brands new opportunities to interact with their customers. This paper focuses on consumer brand engagement (CBE) and its social facet in the context of brand-hosted social media. It highlights that CBE (consumer–brand interactions encompassing cognitive, affective and behavioural dimensions) and brand-based consumer–consumer interactions (social brand engagement (SBE)) lead to brand loyalty intentions. Brand customers were surveyed about their favourite brands on Facebook. Results indicate that self-brand connections and SBE are two drivers of CBE, and that CBE is the key element in inducing brand loyalty. In addition, configural analysis shows that high brand loyalty can be achieved through several combinations of social and CBE with various levels of cognitive, affective and behavioural engagement.     

Brand loyalty evolution and the impact of category characteristics

A common managerial belief indicates that brand loyalty declines over the years, with consumers becoming more heterogeneous in their choices. The earlier research investigating the phenomenon of brand loyalty decline is, however, inconclusive and does not offer an answer to the reasons behind brand loyalty evolution. In this study, we investigate brand loyalty evolution and explore the impact that a number of category characteristics have on driving brand loyalty evolution. We use Danish panel data across 54 categories over a period of 6 years (2006–2011). Our findings show that at the aggregate level, brand loyalty declines, but this evolution is category-specific, with only a small number of categories showing a significant decline. We further demonstrate that an increase in category penetration results in a negative impact on brand loyalty evolution, whereas an increase in the share of private label brands has a positive impact. We discuss the implications for theory and practice.

     

Brand inequalities in the loyalty-effects of purchases

Choice models in marketing have generally included the effects of loyalty on individual choice behavior.Loyalty has been typically measured as proportion of purchases or as an exponentially smoothed index of past purchases. An underlying assumption of both measures is that all brands gain the same increase in loyalty with a purchase. However, such an assumption may not hold when the competing brands are not comparable. We propose a new exponential smoothing measure which incorporates brand-specific parameters for the loyalty effects of purchases. A choice model, calibrated on individual level data for the detergent category, is used to compare the proposed measure with its traditional version. This comparison reveals that the new approach improves both the fit and predictive performance of the choice model. The results also suggest that the loyalty effects of purchases are likely to be lower for brands which are purchased on price promotions and higher for expensive brands.     

The persistence of excess brand loyalty over multiple years

This study examines the extent to which packaged-goods brands exhibit excess loyalty over a multi-year period. Brand loyalty for 300 brands in 20 UK product categories are compared to theoretically expected loyalty levels calculated using the Dirichlet model. Results show that while many brands show excess loyalty in a particular year (31%), fewer of them (25% and 22%) exhibit excess loyalty over 2 and 3?years, respectively. Almost all the brands that do show persistent excess loyalty are private-label brands or are market-share leaders (either the biggest or the second-biggest brand in the market). Therefore, excess loyalty over multiple years is a rare occurrence for a brand unless it is a market leader or a private-label brand. The study also shows that 38% of all high-share brands have consistent excess loyalty, and 37% of all private-label brands have consistent excess loyalty. These results suggest that existing explanations in the literature as to the sources of excess loyalty need further investigation. The reason is that those explanations relate to distribution effects, which should be similar across such brands. They therefore imply that most high-share and private-label brands should exhibit excess loyalty. The study suggests several avenues for further research to identify the reasons why some high-share or private-label brands show excess loyalty and others do not.     

Building Customer-Brand Relationships through Customer Brand Engagement

Abstract

Engagement has surfaced as a vital tool in marketing to enhance the customer’s relationships and loyalty with brands. Despite this, there is dearth of empirical studies focusing on the role of customer engagement within the context of brands. Thus, the main objective of this study is to investigate the role of customer brand engagement in building customer-brand relationships and brand loyalty within the context of hotel industry. Using convenience sampling technique, a sample of 418 respondents has been collected through self-administered questionnaire method from the users of hotel services in India. The study findings suggest that different dimensions of customer brand engagement vary in terms of their influence on customer-brand relationships and brand loyalty. In addition, customer-brand relationships exhibit positive and significant influence on brand loyalty. This present study enhances the understanding of customer brand engagement construct by empirically verifying its relevance in determining the long-term success of firms/brands.     

How Differing Demographic Factors Impact upon Customer Loyalty Towards National or International Fast-Food Chains: A Comparative Study in Emerging Markets

ABSTRACT

The aim of this paper is to study differing demographic factors affecting fast-food customers loyalty towards national or international fast food chains. A variety of variables used to gain a holistic view, which includes factors such as quality, price, food and demographic profile of consumers affecting loyalty of fast food chains. The study adopts the theory and method of the trust-commitment-loyalty explanation chain and examines the consumer survey adapted from Fast food by Sahagun et.al (2014). The present analyses 542 filled questionnaires in which systematic sampling is used. Indians prefer global fast food chains compared to Indian fast food chains. Loyalty towards global brands is higher than that for Indian brands because they are found to be of better quality which leads to higher frequency of visit and recommendation of the brands to their friends and colleagues. There is ethnic variation towards global and Indian fast food chains.     

Correlates of first‐brand loyalty

A mail survey of British supermarket customers shows that the factor most strongly associated with claimed brand loyalty is household income Brand loyal customers also claim to spend more, are more concerned about quality and less about price, are slightly more store loyal and make more use of large out‐of‐town stores Brand loyalty is also related to age; those aged under 25 years and 65 + years are less loyal

There is little difference between those who are primarily loyal to store brands and those who are primarily loyal to manufacturer brands, and there is little evidence that store patronage is raised by loyalty to store brands     

Customer Loyalty and Privacy on the Web

ABSTRACT

This study examines from simulation the effects of the privacy sensitivity of customers, the personalization practices or standards of retailers and the difficulty in locating favorable sites on the loyalty of consumers to a Web site. The key finding of the study is that customer privacy sensitivity is a critical success factor that significantly impacts loyalty to a retailer. Customers have higher loyalty to sites that request the least information, while they have lower loyalty to sites that request the most information. Web retailers considering expanded personalization of products or services to customers, through increased personal information, need to rethink their practices. The study also found that difficulty in locating a favorable site is a success factor that impacts retailer loyalty, and that customers have higher loyalty to difficult to locate favorable sites on the Web. These findings are important at a time when consumers are empowered with Web technology to immediately shop competitor sites.     

The development of a consumer value proposition of private label brands and the application thereof in a South African retail context

Private Label Brands are of strategic importance to retailers worldwide. However, there is a dearth of knowledge, particularly in emerging markets, as to the manner in which consumers cognitively assess these brands. At the heart of the issue is a gap in knowledge as to how consumers formulate a value proposition in their minds and the effect of loyalty to existing brands. This paper assumes a positivist, hypothetico-deductive approach by attempting to address the question: What are the key drivers of perceived value of private label branded breakfast cereals, taking price, perceived risk and perceived quality into account? Moreover, the study considers how various attributes of brand image contribute to the perception of brands and the extent to which loyalty to established national brands inhibits purchasing intent of private label merchandise. A conceptual model was developed, and tested by means of Partial Least Squares path analysis, using a sample of 482 respondents. The outcome reflects that consumers take cognisance of value through price, risk and quality cues, but that loyalty to existing brands has a minimal effect in the final stage of the model. Moreover, both in- and out-of-store influences were found to play a significant role in the determination of product quality. Retailers therefore possess a number of levers at their disposal to influence perceived value, most notably price, product quality and the perceived risk portfolio, as well as packaging, shelf placement, store environmental factors, etcetera.     

Understanding drivers and outcomes of lurking vs. posting engagement behaviours in social media-based brand communities

ABSTRACT

Social media-based brand communities (SMBBC) are ideal tools to develop Consumer Engagement (CE). Yet, brands do not fully understand whether members are really loyally engaged with the brand and uncertainties remain regarding SMBBC return on investment. Therefore, our aim is to understand what drives CE within SMBBC, to relate it to different CE behaviours and to study its impact on brand loyalty. Data from 213 Facebook users was analysed using PLS-SEM. The study concludes that the drivers for passive/lurking and active/posting behaviours differ and vary according to brand type, with the former revealing a stronger positive association with brand loyalty than the latter. This study also provides valuable insights into CE literature and to brands holding SMBBC, helping them to successfully develop social media strategies.     

Loyalty programs and their impact on repeat-purchase loyalty patterns

Loyalty programs are currently increasing in popularity around the world. This paper discusses the potential of loyalty programs to alter the normal market patterns of repeat-purchase behaviour which characterise competitive repeat-purchase markets. In line with this thinking, a large scale loyalty program is evaluated in terms of its ability to change normal repeat-purchase patterns by generating ‘excess loyalty’ for brands in the program. Panel data were used to develop Dirichlet estimates of expected repeat-purchase loyalty statistics by brand. These estimates were compared with the observed market repeat-purchase behaviour. Overall a trend towards a weak level of excess loyalty was observed, although the expected deviation was not consistently observed for all the loyalty program brands. Only two of the six loyalty program participant brands showed substantial excess loyalty deviations. However, these deviations in repeat-purchase loyalty were observed for non-members of the loyalty program as well as members and appear likely to be at least partially the result of other loyalty efforts particular to these brands.     

The erosion of repeat-purchase loyalty

A large-scale longitudinal analysis is used to study the repeat-purchase rates of brand buyers in stationary markets. The data cover the leading brands in a number of frequently purchased grocery categories in three countries. We find that, in the medium term, there is a systematic but limited loss of repeat-purchase loyalty; across nine markets, erosion (the proportionate fall in repeat-purchase loyalty) averages 15 percent in the first year for the brands studied. Erosion does not differ by weight of purchase: similar rates are found for light, medium, and heavy buyer-segments. Brand leaders are found to have a lower erosion than smaller brands.     

Factors that influence manufacturer and store brand behavioral loyalty

This study examines the factors that are linked to consumer goods brands having unusually high or low behavioral loyalty, after controlling for the association between brand size and loyalty that occurs due to the ‘double jeopardy’ effect. Behavioral, or repeat-purchase loyalty is measured as the brand's average share of category requirements (in volume) among its buyers over a 12-month period. We examine a range of factors that theory or past evidence suggests are associated with higher or lower behavioral loyalty, including brand type (store brand/manufacturer brand), price level, promotion intensity, as well as average brand volume per occasion and pack size. Using extensive US panel purchasing data, we find that store brands exhibit relatively higher behavioral loyalty than manufacturer brands. We explain the theory behind this result. We also find that the brand's average pack size and volume bought per occasion has a markedly positive association with behavioral loyalty. Finally, we find that the effect of low price on excess loyalty is moderated via a positive association with average volume purchase per occasion. These findings add to the body of knowledge relating to patterns in behavioral brand loyalty for both manufacturer and store brands, as well as the marketing-mix factors that influence it.     

Brand Analyses of U.S. Global and Local Brands in India: The Case of Levi's

ABSTRACT

This study investigates differences between U.S. global and local brands in the Indian market. Attitudes toward American products and the brand equity of U.S. global and local casual apparel brand in the Indian market are examined. It is postulated that global and local brand influence brand equity, which is composed of brand image, brand awareness, emotional value, perceived quality, brand loyalty, and purchase intention. A total of 411 college students in India participated in the survey. Using repeated measures ANOVA, this study finds that Indian consumers perceive global and local brands differently based on brand equity.     

The brand personality dimensions of business-to-business firms: a content analysis of employer reviews on social media

ABSTRACT

Purpose: The purpose of this paper is to explore the brand personalities that employees are creating of their employer brands, in particular business-to-business (B-to-B) brands, when describing these brands on social media. We examine how the brand personalities, based on written online reviews, differ between high- and low-ranked, and high- and low-rated brands.

Methodology/Approach: 6,300 written employee reviews from a social media platform, Glassdoor, are used for content analysis in DICTION, to determine the brand personality dimensions they communicate (J. L). An independent B-to-B brand ranking data source, Brandwatch, is used as a reference to various brands’ level of ranking, while an ANOVA test is used to determine whether there is a difference in the brand personality trait means when comparing high and low-ranked, and high- and low-rated brands.

Findings: Our findings suggest that a strong social media presence does not equate to a strong employer brand personality perception among employees, since there are no significant differences between B-to-B firms based on their rankings.

Research Implications: Extant literature has mostly explored the impact of either critical reviews or favourable customer ratings and reviews on company performance, with very little research focusing on the B-to-B context. In addition, research employing DICTION for the purposes of content analysis of reviews is sparse. The methodology used in this study could thus be employed to further compare and contrast the reviews from a single company, dividing top and low starred reviews to compare discrepancies.

Practical Implications: The results of this study show how online shared employee experiences of employer brands contribute to the formation of a distinct employer brand personality. From a managerial viewpoint, engaging with current and past employees and being cognizant of the online narratives that they share on social media, may be an early indicator of where the firm is lacking (or showing strength) in its’ employee engagement. This would offer a way for firms to both understand their employer brand personality as well as gauge how they compare to top employers in a specific sector or industry.

Originality/Value/Contribution: The study attempts to grow the literature of employee brand engagement in a B-to-B context, by recognizing the important role that employees play in engaging with their employer brand online. Two main contributions are offered. The first contribution relates to the finding that employees perceive highly-rated B-to-B brands as being more competent, exciting, sincere and sophisticated than low-rated B-to-B brands. Second, the methodology used in this study proves to be a novel and accurate way of comparing employee reviews and perceived employer brand personality, with the employer-created intended brand image.     

Nostalgia and brands: a sweet rather than a bitter cultural evocation of the past

Abstract

This study focuses on the cultural consumer environment of brands considered as nostalgic. The research questions are thus the following: what is the impact of culture on the consumer relationship with brands considered as nostalgic? In which cases are these relationships positive, and in which cases are they negative? To answer these questions, a longitudinal data collection was conducted, consisting of interviewing the same sample of respondents three times, at more or less one-year intervals. The results were analysed taking into account three dimensions of culture: time, place and social aspects. In the time-based approach, brands are associated with traditional celebrations and rites of passage. Thus, they give rise to ‘traditional purchase’ and consumer loyalty. In the place-based approach, brands evoke original authenticity and myths. They offer protection to reduce perceived risks and therefore facilitate consumers’ trust. In the social approach, brands are associated with symbolic icons and attract communities of fans. Finally, this article shows that culture involves sweeter rather than bitter nostalgic brand relationships. This article brings to light four cases when the consumer cultural environment may induce a rejection of the nostalgic brand: (1) the ‘corrupted’ brand; (2) the ‘immoral’ brand; (3) the ‘precarious’ brand; and (4) the ‘stereotypical’ brand. It shows that only one case – the ‘corrupted’ brand – may be particularly prejudicial due to its unwelcome role in History.     

Measuring consumer vulnerability to perceived product-similarity problems and its consequences

Abstract

The brand clutter in many product categories and increasing numbers of similar products, some of which are deliberate look-alikes, make it more difficult for consumers to distinguish between brands, which can lead to more mistaken and misinformed purchases. Moreover, increasing brand similarity is likely to influence important consumer outcomes. To examine this phenomenon, a perceived product-similarity scale developed in Germany was administered to 220 consumers in the United Kingdom. Following the formulation of testable hypotheses and assessments of the scale's reliability and validity, the scale was used to measure perceived product similarity (PPS) across three different product categories, while examining the impact of PPS on brand loyalty and word of mouth. Structural equation modelling revealed that PPS significantly affects word of mouth but not brand loyalty. In addition, cluster analysis identified three meaningful and distinct PPS groups. Implications for marketing managers, consumer policy makers, and marketing research are discussed.     

The Effects of Current Market Forces on the Impact of a TV Commercial in Creating Persuasion

Abstract

The present study investigates the extent to which extenuating factors (excluding those produced by the commercial) affect the extent to which an advertisement is both persuasive and eventually engenders persuasion. The authors collected data from over 5,000 television commercials in the United States, and identified the existing market structure (e.g., brand share, number of competing brands, brand loyalty) surrounding each item at the time the product was advertised, in an effort to separate the effects of the advertisement from the effects of pre-existing market forces on persuasiveness. The results demonstrate that the combined pre-existing market forces have a greater impact on a commercial's ability to persuade than does the message or creativity in the advertisement itself. However, when pre-existing market forces between two products were similar, a creative advertising campaign was still identified as important in producing persuasion. Marketing strategy implications are discussed.     

Accounting for heterogeneity and dynamics in the loyalty-price sensitivity relationship

Marketers have been interested in the relationship between brand loyalty and price sensitivity for many years and have examined whether loyalty reduces consumer price sensitivity. The results, to date, indicate that loyalty does indeed raise the price that consumers are willing to pay for a brand. Other than this broad finding, however, there has been little research in the literature regarding whether and how this relationship varies across consumers and product categories and, within consumers, over time. This is the issue that we investigate in this paper. Specifically, we examine whether the price sensitivity-loyalty relationship is heterogeneous and dynamic. We propose an approach wherein the price sensitivity parameter of a brand choice model is specified as a function of loyalty with three parameters. The first parameter of this function represents the maximum possible reduction in price sensitivity due to loyalty. The second parameter affects the type and shape of the relationship between price sensitivity and loyalty. In particular, depending on the value of this parameter, the relationship could be non-existent, follow a concave shape, indicating decreasing response to increases in loyalty, or be S-shaped to capture the case of increasing response initially followed by decreasing response subsequently. Finally, the third parameter captures the rate at which price sensitivity falls as loyalty increases.We use the proposed approach to investigate the relationship in four frequently purchased categories. In each category, we select a sample of households and calibrate the model on the choices of all the households in the sample. We next employ an Empirical Bayes approach to obtain household-level estimates of all the parameters. These parameters are then used to assign each household in each category to a no response or concave or S-shaped response groups. Within each of these three groups, we assign each household to one of four different response level and rate segments, that is, high response-high rate, high response-low rate, low response-high rate, and low response-low rate. Each of these segments differs in the response level, that is, the maximum reduction in price sensitivity as loyalty reaches a maximum—and the response rate, that is, how quickly price sensitivity falls with increases in loyalty.Following the assignment of each household to a segment in each category, we pool the households across all four categories and calibrate a membership function. This function explains households’ membership in different segments in terms of product category characteristics, household demographics, the household’s responses to price, display, and feature promotions and the evolution of loyalty of the household.Our findings suggest that the nature of the loyalty-price sensitivity relationship does vary across consumers as well as over time. Specifically, the concave response is more likely than the S-shaped response or the absence of a response. We find that the S-shaped response is not related to responsiveness to in-store promotions. It is, however, associated with a slower growth in loyalty to a brand as it is purchased. The concave response, on the other hand, is associated with responsiveness to feature promotions but is unrelated to how loyalty to brands evolves with their purchases.We also find that demographic characteristics are related to the behavior of the concave and S-shaped responses. Specifically, for the S-shaped response, household demographics are related to both the maximum level of the curve as well as its rate of growth. In particular, the curve grows faster with age and its maximum increases with the weekly working hours of the household. In the case of the concave response, high income and more working hours raise the maximum level that the curve achieves. Its rate of growth, however, is unaffected by demographics.We also provide several managerial implications for loyalty and promotional programs based on our findings. Specifically, our first finding—that the loyalty-price sensitivity relationship is dynamic—suggests that, rather than having promotional programs, where the value of the price promotion is fixed and some consumers are targeted with the promotion while others are not, managers should have an entire schedule of price promotions with each level of promotions targeting consumers at a different loyalty level.Our second finding that the nature of the loyalty-price sensitivity relationship is heterogeneous across consumers suggests that designing loyalty programs on the basis of crude classifications such as loyals and non-loyals is not appropriate. Instead, households that are identified as loyal, need to be further divided based on how the loyalty affects their price sensitivity. Promotional programs should then be based on the specific type of relationship that a household exhibits.The third finding that the reductions in price sensitivity to loyalty can exhibit an S-shaped or a concave pattern also has an interesting managerial implication. Specifically, given the differences between the two patterns in how long it might take a consumer to reach a point where s(he) is willing to purchase a brand due to loyalty rather than due to a price promotion, and hence be a profitable customer, it may be preferable for managers to invest more in consumers who exhibit a concave rather than an S-shaped response.Finally, our result that different categories may exhibit different patterns of the relationship between price sensitivity and loyalty implies that each category needs to be analyzed by itself for what the nature of the loyalty-price sensitivity relationship is likely to be so that the most appropriate program for that category can be developed.