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Wednesday, September 25, 2019

Consumer Analysis of new video game store in London Ontario Research Paper

Consumer Analysis of new video game store in London Ontario - Research Paper Example ormation as age, income, and gender characteristics, while behavioral analysis provides some patterns of behavior common for the targeted audience (Acsbdc.org, n.d.). According to the Statistics published by the government of Canada, the population of London census metropolitan area, Ontario in 2011 was 474,790. The percentage of children aged between 0 to 14 comprised 16,6%, the working age population - 68,4%, and the percentage of the population aged 65 and over – 15,0% (Statistics Canada). Population by sex category is divided into male and female, whereas there are 229,950 males and 244,840 females. Below are presented visual illustrations of both age and sex distribution. Behavioral analysis of the customer is also knows as a psychographic profile which is applied for identifying and evaluating the factors influencing consumers’ choice. Thus, in a given case study, behavioral analysis should be used in order to analyze the reasons why customers make decision to buy products at Push Star versus the products sold in other locations (Acsbdc.org, n.d.). There were identified four major factors, including the following: price, store location and accessibility, assortment and availability of new games. Price is essential for users of video games. This factor is critical as with the development of Internet technology and accessibility of free online platforms make video games less competitive on the market. Convenience and accessibility of the store also will play an important role in the inflow of potential consumers. Assortment of the video games and other relevant products also will have impact on the consumers’ behavior. The greater the ra nge of video games is offered the greater customer’s loyalty will be. Availability of newly issued video games will also influence customer’s choice of the video game’s retailer. This group is the largest demographic for rental services. Customers of this age are more focused on rentals from the traditional rental

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