Monday, June 17, 2019

Marketing research Case Study Example | Topics and Well Written Essays - 2750 words

Marketing research - Case Study ExampleHowever, Alok (2009) is convinced that female shoppers are more likely to remain true to shops they have signed loyalty programs with. Nazia (2011) delved into the effect of income levels on shopping habits, supporting notions spread by Peter, Borle and Kadane (2003) that shoppers with higher income tend to be loyal to more shops than those with decline income. Yuping, Williams and Tam (2010) refuted this claim, noting that every individual signs up with a program based on how much they need the products offered by a store.Older buyers are shown in Rose (2013) as being less likely to make large purchases, due to their partial inability to earn at the same pace as the energetic younger cohorts. Seyhmus (2002), however, had a differing opinion, preceding Roses article with the assertion that age does not actually affect ability to shop (size of purchase) since in that respect are many wealthy quondam(a) persons. Based on these contradicting no tes, this research poses the questionsThe current research is based on a model depicting the consumer as more being more loyal based on their membership to loyalty programs. Therefore, the receipt (percentage of clothing calculate spent at the stores clothing category and amount of money spent at the store) are affected by the age, income, gender and membership to loyalty for the participants. The hypotheses developed in response to the research questions areH4 There is no significant difference between amount spent at the clothing category and percentage of clothing budget spent on clothing at the store for participants signed to the loyalty program and those not signed.The sample comprised 202 participants who were all shoppers at the selected clothing store. 122(60.4%) were male sequence 80 (39.6%) were female shoppers. There were no shoppers below the age of 18 years. However, 184 (91.1%) were adults aged between 19 and 50 years while 18 (8.9%) were older persons aged above

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