Pelican Stores, a division of National Clothing

      Pelican Stores, a division of National Clothing, is a chain of women’s apparel stores operating throughout the country. The chain recently ran a promotion in which discount coupons were sent to customers of other National Clothing stores. Data collected for a sample of 100 in-store credit card transactions at Pelican Stores during one day while the promotion was running are contained in the file PelicanStores. Table 3.9 shows a portion of the data set. The proprietary card method of payment refers to charges made using a National Clothing charge card. Customers who made a purchase using a discount coupon are referred to as promotional customers and customers who made a purchase but did not use a discount coupon are referred to as regular customers. Because the promotional coupons were not sent to regular Pelican Stores customers, management considers the sales made to people presenting the promotional coupons as sales it would not otherwise make. Of course, Pelican also hopes that the promotional customers will continue to shop at its stores. Most of the variables shown in Table 3.9 are self-explanatory, but two of the variables require some clarification. Items The total number of items purchased Net Sales The total amount ($) charged to the credit card Pelican’s management would like to use this sample data to learn about its customer base and to evaluate the promotion involving discount coupons. Managerial Report Use the methods of descriptive statistics presented in this chapter to summarize the data and comment on your findings. At a minimum, your report should include the following: Descriptive statistics on net sales and descriptive statistics on net sales by various classifications of customers. Descriptive statistics concerning the relationship between age and net sales. Initial post prompt: Your Managerial Report serves as your initial post to the discussion forum. After responding to the requirements posed by the Managerial Report, also provide an example in your career in which you believe one of the lessons learned from the Case has been/could be applicable. Alternatively, if you don’t have/foresee direct experience relevant to your current position, what type of scenario can you anticipate occurring where you can utilize one of the lessons learned from examining this case? Response post prompt: Consider Managerial Reports posted by two of your peers. One or both of your responses may be to Managerial Reports for a case problem different from your own. Think critically and ask open-ended questions. If you agree, consider their position and expand upon their ideas. Provide an additional perspective. If you disagree, provide your reasoning. Always be professional and courteous in your responses.     Post by classmate 1   For this week's discussion, I chose to answer the managerial report for Pelican Stores once again. Pelican Stores, a division of National Clothing, is a chain of women's apparel stores operating throughout the country. The store ran a promotion and compared sales of 100 transactions weighed between either a credit card or promotional card purchase. -The most common purchase price is 31.60, and the most items purchased at once is 17. -The promotional card was used most often for purchases, beating out other credit cards 70 purchases to 30. The average amount paid using a promotional card was $84.29, and $62.00 when using other credit cards only. -Using information from the bar chart, we can ascertain that most spend by a specific age range was $620.17 from the 30-39 range. The most spend was also by the 30-39 range, having spent $2347.13 -This information can be worthwhile for Pelican Stores when they choose to utilize another promotional program in the future. They can use the insights gained from this one, and potentially advertise even more so to the 30-39yr old range, knowing they accounted for the most sales by group. At my organization, we would use this bar chart for retooling our marketing across our website. We would want to be attuned to the results of any surveys or data taken from this age range so we can tailor the website's experience to the group that most frequently visits it.