The Big Dance: Club Curve Series

Product Information

Curves has positioned itself in the sports service industry, its greatest product being the intimate degree of care it provides to its members. Trainers at Curves initiate caring for club members and create an atmosphere suitable for women to exercise, building emotional connections with female customers through dedicated interactions. They also make phone calls to further understand members’ personal needs, such as weight loss, body sculpting, and core conditioning, to provide products catering to each individual customer. These practices have helped Curves gain a foothold in the competitive fitness industry. Beetles and Harris (2005) indicated that when marketers are responsive enough to women’s sensitivities, the results can be surprising. This is because the type of product does not necessarily determine women’s purchasing intentions; the marketing approach does. Yu Q, Sui J, Liu J, Plis SM, Kiehl KA, et al. (2013) Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia. Schizophr Res 143: 165–171. The rich club phenomenon is said to occur when the most highly connected nodes show greater connectedness to each other than expected by chance. This was examined in terms of both unweighted and weighted matrices (weighted by correlation values for functional networks, and by number of fibers for structural). First, the “degree” of each node was computed as the number of links to other nodes in the network. A subgraph of the original matrix was then constructed for each degree k, from 1 to the maximum k value, in which only nodes with a degree of at least k were included. For unweighted matrices, the rich club coefficient Φ(k) was then calculated as the ratio of the number of connections between nodes within the k th subgraph and the total number of possible connections between them. This is given formally by the equation [4], [29]:

We urge caution when interpreting the findings, as the participants were chosen purposively and are the ones that were able to answer the research questions. Replicating the study with participants who have different characteristics may not yield the same findings. For example, a different sports industry or a group of consumers may have a different set of marketing model associations. In addition, these findings are in cultural terms, and they may change if other methods are used. Semi-structured participants tended to censor their particular comments and fit into the majority view ( Conlin et al., 2014). Citation: Grayson DS, Ray S, Carpenter S, Iyer S, Dias TGC, Stevens C, et al. (2014) Structural and Functional Rich Club Organization of the Brain in Children and Adults. PLoS ONE 9(2): van den Heuvel MP, Mandl RC, Kahn RS, Hulshoff Pol HE (2009) Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Hum Brain Mapp 30: 3127–3141. For weighted matrices, rich club organization was quantified along similar principles. Within each k th subgraph, the number of all links E >k were counted, and the collective weight of those links W >k were summed. The weighed rich club coefficient Φ w(k) was then computed as the ratio between the sum of the subgraph weights W >k and the sum of the strongest E >k connections from the original weighted matrix. This is given formally by the equation [30]:Due to increased awareness of health and wellness, fitness centers have become more prominent in the sports market sector ( Wang and Chiu, 2022). In addition to strengthening the body and enhancing health, exercise can sculpt the body and improve one’s self-image ( Farrell et al., 2011; Shaw, 2012; Andreasson and Johansson, 2013). In addition, through sports and leisure activities, one can expand interpersonal relationships and build a personal network. Participating in sports and leisure activities even becomes a promoter of social class mobility, thereby creating and accumulating social capital. The increasing amount of people partaking in sports and fitness activities has brought social and economic benefits, making it a thriving business ( Chang, 2020; Andreasson and Johansson, 2021). In addition to normalizing networks with the classic Maslov-Sneppen rewiring, we performed separate normalizations using the Hirschberger-Qi-Steuer (H-Q-S) algorithm, which matches the transitivity that is inherent in correlation networks but does not preserve degree distribution [31]. Results for this testing are provided in the supplemental materials. Curves has understood the personal needs of female customers and designed sports products dedicated to women, providing them with a pleasant experience with excellent services and a unique circuit-training-inspired gym setting. The interviews conducted in this study show that Curves advocates a 30-min workout with 12 pieces of gym equipment and 12 recovery boards. Members are encouraged to complete a cycle of the equipment and recovery in 24min. Curves continues to add elements to existing fitness classes and design different classes to ensure that they are interesting, efficient, and convenient.

Leo Steele left Broken Bend fifteen years ago with nothing and is now coming home a billionaire. He is the CEO of the most popular hook up app out there. He has been living in Chicago but is coming home for his high school reunion. He didn’t want to come home but his foster mother, Mama Mae, guilted him into making the weekend trip. He can’t wait to see Mama Mae and his best friend Ethan Monroe. The one person he doesn’t want to see his Ethan’s younger sister Olivia because all those years ago, he broke her heart and left town.This study found that Curves has applied precise segmentation to its marketing targets in the fitness market. It has targeted a certain consumer group and designed customized products for them. For example, it offers a 15-min body measurement session for members every month and helps them set fitness targets. In addition to fitness classes, Curves develops functional peripheral products along with monthly promotions like giveaways or awards for members who meet certain targets. Curves has managed to create its product mix successfully. Curves has applied the product element of the marketing mix by taking the initiative to care for its members, understanding members’ needs, and assisting them in achieving goals to build a sense of belonging. This echoes the ideas of past studies that marketing to women should take female needs and features into consideration and that market segmentation should be applied to women. The marketing approach determines women’s involvement rather than the types of activities offered. Marketers who are responsive enough to understand women’s sensitivities manage to attract female customers ( Cuneen and Claussen, 1999; Samaha et al., 2014). Price-transparent pricing guidelines that gain customers’ trust One such topology hypothesized to exist in the brain is the so-called “rich club” organization, whereby the most highly connected nodes show a strong tendency to connect with other highly connected nodes. In recent years, rich club organization has been studied as an important indicator of certain functional features within many real-world networks. For instance, the protein-protein interaction network of the yeast Saccharomyces Cerevisiae [4] is absent a rich club, allowing for maximal functional specialization or biological segregation. On the other hand, rich club organization is a common feature of power grids and transportation systems [4], which likely allows for maximal integration and resilience to local disruptions. Curves is a home away from home for women to be better selves and amaze themselves by playing sports. (D) Bassett DS, Bullmore ET (2009) Human brain networks in health and disease. Curr Opin Neurol 22: 340–347. de Reus MA, van den Heuvel MP (2013) Rich club organization and intermodule communication in the cat connectome. J Neurosci 33: 12929–12939.