Relationship Drivers in Provider - Consumer Relationships. Empirical Studies of Customer Loyalty Programs (första upplagan slutsåld / first edition sold out, 'print on demand' 60 €)

The study addressed a phenomenon that has become common marketing practice, customer loyalty programs. Although a common type of consumer relationship, there is limited knowledge of its nature. The purpose of the study was to create structured understanding of the nature of customer relationships from both the provider’s and the consumer’s viewpoints by studying relationship drivers and proposing the concept of relational motivation as a provider of a common framework for the analysis of these views. The theoretical exploration focused on reasons for engaging in customer relationships for both the consumer and the provider. The themes of buying behaviour, industrial and network marketing and relationship marketing, as well as the concepts of a customer relationship, customer loyalty, relationship conditions, relational benefits, bonds and commitment were explored and combined in a new way. Concepts from the study of business-to-business relationships were brought over and their power in explaining the nature of consumer relationships examined. The study provided a comprehensive picture of loyalty programs, which is an important contribution to the academic as well as the managerial discussions. The consumer study provided deep insights into the nature of customer relationships. The study provides a new frame of reference to support the existing concepts of loyalty and commitment with the introduction of the relationship driver and relational motivation concepts. The result is a novel view of the nature of customer relationships that creates new understanding of the forces leading to loyal behaviour and commitment. The study concludes with managerial implications.

Spillover effects of service failures in coalition loyalty programs:the buffering effect of special treatment benefits

Coalition loyalty programs are on the rise, yet few studies investigate the impact of service failures in such programs. Using data from a retail context, the authors show that a program partner deemed responsible for a service failure suffers negative customer responses. However, customers' perceptions of the benefits of the coalition loyalty program buffer these consequences. Perhaps most importantly, when customers perceive the program's special treatment benefits as low, direct and indirect spillover effects occur, such that a service failure by one program partner has a negative effect on customer loyalty toward the program itself. © 2013 New York University.

A lojalitásprogramok menedzselése (Managing of loyalty programs)

A lojalitásprogramok egyre népszerűbbek hazánkban is, ahogy a növekedési lehetőségek bezárultak, és a menedzserek figyelme a vevők és a piaci pozíciók megtartása felé fordult. A közelmúltban azonban számos nemzetközi példa mutatja, hogy egy ilyen program lehet sikertelen is, amely veszteséget termel, így vagy kivezetésre kényszerül, vagy a vállalat kénytelen átszabni. Tudatos tervezés és reális üzleti modell nélkül tehát nem feltétlenül térül meg az akár milliárdos nagyságrendű befektetés. Jelen cikk során a szerző kísérletet tett arra, hogy összegyűjtse azokat a döntési pontokat, amelyek hatással lehetnek a programok sikerére, és bemutassa a lehetséges választási alternatívák előnyeit, hátrányait. Konklúzióként három olyan elvet emelt ki, amelyek meghatározóak lehetnek. Eszerint a programoknak a vállalati stratégiába és folyamatokba történő integrációja, a megfelelő megtérülési indikátorok felállítása és azok szisztematikus nyomon követése, valamint a program megkülönböztető, többnyire emocionális és élményszerű jellege, amely kiemelkedő szerepet játszhat az eredményesség szempontjából. _____ As the opportunity of market growth seemed to be limited and managers started to pay more attention to customer retention and market defence, loyalty programs became more and more popular marketing tool in Hungary. Many international cases proved, however, that the implementation of this activity can also lead to failure realizing considerable losses and by necessity companies can end up or reposition the program. Without a deliberate design and realistic business model it is not easy to guarantee the return of investment that can be even billion in size. In the current article the author attempts to collect all the relevant issues that can have effect on the success of loyalty programs and determine the consequences of potential options. As a conclusion, the author emphasized three critical principles. The integration of loyalty programs into the company’s strategy and processes, the appropriate measure of returns with systematic tracking and the unique, mostly emotional and entertaining characteristics of the program can be crucial.

Framing as status or benefits? Consumers’ reactions to hierarchical loyalty program communication

Purpose A fundamental aspect of hierarchical loyalty programs is that some consumers get rewards that others do not. Despite the widespread use of such programs, academics have long debated whether these benefits are outweighed by the potential negative impact of the differential treatment of customers. This study extends our understanding, examining the impact of message framing on consumers’ reactions to hierarchical loyalty structures. Design/methodology/approach Three online studies were conducted. Study 1 uses advertisements to manipulate the message frame’s emphasis (benefits vs. status). Study 2 manipulates consumers’ frame of thought by directing their attention to either changes in benefits or status. Finally, Study 3 uses the proposed framework to reconcile contradictory findings from past research. Findings Low-frequency customers who do not expect to qualify for a superior customer tier tend to reject hierarchical programs when thinking about status. In contrast, when these customers think about concrete rewards, loyalty program messages produce no negative reactions. High-frequency customers are positively affected by communication regardless of the type of benefits framed. Research limitations/implications All studies were done online potentially limiting the external validity of the results. Nevertheless, the impact of message framing on perceptions about the loyalty program seems to be quite robust across different studies and manipulations. Practical implications When communicating with low-frequency customers managers should avoid promising status; customers should instead be motivated based on concrete rewards. High-frequency customers are indifferent to alternative emphasis of communication frames. Originality/value Marketing academics have acknowledged the importance of being able to reward top customers without demotivating light and moderate users. Our research is the first to provide a solution to this issue.

Management consulting labs- Galp loyalty

The purpose of this project was to diagnose and estimate the possible value to add to the current loyalty program of Galp and to explore possible redefinitions to the loyalty approach. In order to do that it was performed a deep benchmarking about the company, exhaustive research on the existent data about loyalty and loyalty programs, new data mining with quantitative and qualitative analysis, exploratory market research and ideation sessions. Based on all the work developed, a group of five changes of paradigm were suggested through structured and innovative ideas to answer the challenge proposed.

Management consulting labs Galp loyalty

The main objective of this project was to investigate methods to create a new loyalty approach for Galp Energia in order to improve customer retention and reduce churn, related with the expansion of hypermarket chains’ in the Fuel Retail Market and the country’s economical situation. The team carried out on-spot surveys and focus groups, researched loyalty programs’ best practices, analyzed peers practices and the company’s past performance in order to find important customer insights. These were used to develop the final recommendations resulting in a new paradigm to the group’s loyalty approach alongside incremental improvements to the current loyalty solutions.

Assessing the relationship between loyalty program attributes, store satisfaction and store loyalty

After a decade of research there is still much to understand about the relationship between loyalty programs and whether they deliver on their promise of building customer loyalty towards a store and understanding the mediating role of store satisfaction. Our results suggest that loyalty program as a summary construct, explains a significant proportion of the variance in store satisfaction and store loyalty. However, disaggregation of the construct into hard versus soft attributes, promotes greater specificity, precision and accuracy in uncovering the differential impact on store satisfaction and store loyalty.

Factors influencing supermarket store loyalty

Este estudo focou na indústria de supermercados e teve como objetivo examinar o quanto os fatores referentes à existência de um programa de fidelidade em um supermercado, a fidelidade do cliente com esse programa e a percepção de valor que o cliente tem da loja, influenciam na sua lealdade à loja. Como muitas empresas têm feito um grande investimento nos Programas de Fidelidade, é certamente relevante que seja medida a efetividade desse tipo de programa. A metodologia usada foi a análise de regressão linear. Nesta análise de regressão foram consideradas as seguintes variáveis independentes: Valor percebido do programa, a Lealdade ao cartão de fidelidade da loja, o valor percebido da loja. Como variável dependente foi considerada a Lealdade à loja. A análise concluiu que os programas de lealdade em supermercados não estão funcionando como instrumentos efetivos de fidelidade e não têm relação com o Valor Percebido da Loja. O investimento das empresas nessa ferramenta não está trazendo o retorno esperado de desenvolver fidelidade no cliente.

Dynamic Management of Loyalty Program Strategies

Thesis (Ph.D.)--University of Washington, 2016-06

Consequences of customer loyalty to the loyalty program and to the company

Gaining customer loyalty is an important goal of marketing, and loyalty programs are intended to help in reaching it. Research on loyalty programs suggests that customers differentiate between loyalty to a company and loyalty to a loyalty program, yet little is known about the consequences of these two types of loyalty. Therefore, our study intends to make two main contributions: (1) improving our understanding of the constructs "program loyalty" and "company loyalty", (2) investigating the relative impact of the two types of loyalty on preference, intention, and purchase behavior for the case of a multi-firm loyalty program. Results indicate that company loyalty influences a customer's choice to visit a particular provider and to prefer it over competitors, but it is not a strong predictor of purchase behavior. Conversely, program loyalty is a far more important driver of purchase behavior. This implies that company loyalty primarily attracts customers to a particular provider and program loyalty ensures that once inside the store, more money is spent. © 2011 Academy of Marketing Science.

The effects of experience in loyalty card adoption on the importance of the attributes of loyalty schemes

The popularity of loyalty programs worldwide shows that this is one of the most efficient marketing tools in highly competitive markets to retain customers. The saturation of loyalty schemes themselves can lead to a fierce competition between firms to gain wider penetration for their cards. The experience of the customers regarding adoption of loyalty programs can affect their attitude towards the different attributes of the programs. We found that more experienced customers evaluate the importance of the soft attributes of the loyalty schemes higher.

Drivers of technology substitution : successive generations of high tech products

Principal Topic High technology consumer products such as notebooks, digital cameras and DVD players are not introduced into a vacuum. Consumer experience with related earlier generation technologies, such as PCs, film cameras and VCRs, and the installed base of these products strongly impacts the market diffusion of the new generation products. Yet technology substitution has received only sparse attention in the diffusion of innovation literature. Research for consumer durables has been dominated by studies of (first purchase) adoption (c.f. Bass 1969) which do not explicitly consider the presence of an existing product/technology. More recently, considerable attention has also been given to replacement purchases (c.f. Kamakura and Balasubramanian 1987). Only a handful of papers explicitly deal with the diffusion of technology/product substitutes (e.g. Norton and Bass, 1987: Bass and Bass, 2004). They propose diffusion-type aggregate-level sales models that are used to forecast the overall sales for successive generations. Lacking household data, these aggregate models are unable to give insights into the decisions by individual households - whether to adopt generation II, and if so, when and why. This paper makes two contributions. It is the first large-scale empirical study that collects household data for successive generations of technologies in an effort to understand the drivers of adoption. Second, in comparision to traditional analysis that evaluates technology substitution as an ''adoption of innovation'' type process, we propose that from a consumer's perspective, technology substitution combines elements of both adoption (adopting the new generation technology) and replacement (replacing the generation I product with generation II). Based on this proposition, we develop and test a number of hypotheses. Methodology/Key Propositions In some cases, successive generations are clear ''substitutes'' for the earlier generation, in that they have almost identical functionality. For example, successive generations of PCs Pentium I to II to III or flat screen TV substituting for colour TV. More commonly, however, the new technology (generation II) is a ''partial substitute'' for existing technology (generation I). For example, digital cameras substitute for film-based cameras in the sense that they perform the same core function of taking photographs. They have some additional attributes of easier copying and sharing of images. However, the attribute of image quality is inferior. In cases of partial substitution, some consumers will purchase generation II products as substitutes for their generation I product, while other consumers will purchase generation II products as additional products to be used as well as their generation I product. We propose that substitute generation II purchases combine elements of both adoption and replacement, but additional generation II purchases are solely adoption-driven process. Extensive research on innovation adoption has consistently shown consumer innovativeness is the most important consumer characteristic that drives adoption timing (Goldsmith et al. 1995; Gielens and Steenkamp 2007). Hence, we expect consumer innovativeness also to influence both additional and substitute generation II purchases. Hypothesis 1a) More innovative households will make additional generation II purchases earlier. 1 b) More innovative households will make substitute generation II purchases earlier. 1 c) Consumer innovativeness will have a stronger impact on additional generation II purchases than on substitute generation II purchases. As outlined above, substitute generation II purchases act, in part like a replacement purchase for the generation I product. Prior research (Bayus 1991; Grewal et al 2004) identified product age as the most dominant factor influencing replacements. Hence, we hypothesise that: Hypothesis 2: Households with older generation I products will make substitute generation II purchases earlier. Our survey of 8,077 households investigates their adoption of two new generation products: notebooks as a technology change to PCs, and DVD players as a technology shift from VCRs. We employ Cox hazard modelling to study factors influencing the timing of a household's adoption of generation II products. We determine whether this is an additional or substitute purchase by asking whether the generation I product is still used. A separate hazard model is conducted for additional and substitute purchases. Consumer Innovativeness is measured as domain innovativeness adapted from the scales of Goldsmith and Hofacker (1991) and Flynn et al. (1996). The age of the generation I product is calculated based on the most recent household purchase of that product. Control variables include age, size and income of household, and age and education of primary decision-maker. Results and Implications Our preliminary results confirm both our hypotheses. Consumer innovativeness has a strong influence on both additional purchases (exp = 1.11) and substitute purchases (exp = 1.09). Exp is interpreted as the increased probability of purchase for an increase of 1.0 on a 7-point innovativeness scale. Also consistent with our hypotheses, the age of the generation I product has a dramatic influence for substitute purchases of VCR/DVD (exp = 2.92) and a strong influence for PCs/notebooks (exp = 1.30). Exp is interpreted as the increased probability of purchase for an increase of 10 years in the age of the generation I product. Yet, also as hypothesised, there was no influence on additional purchases. The results lead to two key implications. First, there is a clear distinction between additional and substitute purchases of generation II products, each with different drivers. Treating these as a single process will mask the true drivers of adoption. For substitute purchases, product age is a key driver. Hence, implications for marketers of high technology products can utilise data on generation I product age (e.g. from warranty or loyalty programs) to target customers who are more likely to make a purchase.

Drivers of adoption for successive generation of high-tech products

To understand the diffusion of high technology products such as PCs, digital cameras and DVD players it is necessary to consider the dynamics of successive generations of technology. From the consumer’s perspective, these technology changes may manifest themselves as either a new generation product substituting for the old (for instance digital cameras) or as multiple generations of a single product (for example PCs). To date, research has been confined to aggregate level sales models. These models consider the demand relationship between one generation of a product and a successor generation. However, they do not give insights into the disaggregate-level decisions by individual households – whether to adopt the newer generation, and if so, when. This paper makes two contributions. It is the first large scale empirical study to collect household data for successive generations of technologies in an effort to understand the drivers of adoption. Second, in contrast to traditional analysis in diffusion research that conceptualizes technology substitution as an “adoption of innovation” type process, we propose that from a consumer’s perspective, technology substitution combines elements of both adoption (adopting the new generation technology) and replacement (replacing generation I product with generation II). Key Propositions In some cases, successive generations are clear “substitutes” for the earlier generation (e.g. PCs Pentium I to II to III ). More commonly the new generation II technology is a “partial substitute” for existing generation I technology (e.g. DVD players and VCRs). Some consumers will purchase generation II products as substitutes for their generation I product, while other consumers will purchase generation II products as additional products to be used as well as their generation I product. We propose that substitute generation II purchases combine elements of both adoption and replacement, but additional generation II purchases are solely adoption-driven process. Moreover, drawing on adoption theory consumer innovativeness is the most important consumer characteristic for adoption timing of new products. Hence, we hypothesize consumer innovativeness to influence the timing of both additional and substitute generation II purchases but to have a stronger impact on additional generation II purchases. We further propose that substitute generation II purchases act partially as a replacement purchase for the generation I product. Thus, we hypothesize that households with older generation I products will make substitute generation II purchases earlier. Methods We employ Cox hazard modeling to study factors influencing the timing of a household’s adoption of generation II products. A separate hazard model is conducted for additional and substitute purchases. The age of the generation I product is calculated based on the most recent household purchase of that product. Control variables include size and income of household, age and education of decision-maker. Results and Implications Our preliminary results confirm both our hypotheses. Consumer innovativeness has a strong influence on both additional purchases and substitute purchases. Also consistent with our hypotheses, the age of the generation I product has a dramatic influence for substitute purchases of VCR/DVD players and a strong influence for PCs/notebooks. Yet, also as hypothesized, there was no influence on additional purchases. This implies that there is a clear distinction between additional and substitute purchases of generation II products, each with different drivers. For substitute purchases, product age is a key driver. Therefore marketers of high technology products can utilize data on generation I product age (e.g. from warranty or loyalty programs) to target customers who are more likely to make a purchase.

Determinants of place identity and dependence : the case of international tourism in Tanzania

This research examines the effects of expectation (perceived attractiveness) on satisfaction, place identity, and place dependence. Place identity and place dependence are viewed as relational components of choice and relate to deeper needs. This study proposes that these two relational components depend on transactional expectations, which are emergent and determined by past experiences and visitor goals. In a theoretically elaborated and tested Structural Equation Model (SEM) this study assumes that these relationships vary according to intentions to return. The study addresses the conditions under which loyalty intentions influence the deeper place attachments (place identity and place dependence) that visitors associate with attractive cultural and natural destinations. The model is tested on a sample of 504 international tourists visiting Tanzania during fall 2010, and explains 59% of variance in the predicted dependent variables. The results are linked to a discussion on loyalty programs.

The role of customer gratitude in making relationship marketing investments successful

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