Lisa is a sales manager at a clothing retail store. She has hired you, a recent graduate with a marketing degree with an emphasis on marketing information systems. She wants you to analyze big data that the company has gathered on its customers to come up with Ideal Customer Profiles so that the firm can make marketing Investment decisions to attract such customers. Lisa explains that an ideal customer profile is a description of the demographics, psychographies, and behavior of the customers who are most likely to purchase their firm's product. In order to identify the ideal Customers, you must determine the Customer Acquisition Costs, Lifetime Value, Payback Periods, and Customer Retention. You are familiar with these concepts because you learned about them in your marketing classes. You are now ready to calculate the Customer Lifetime Value, which Lisa wants calculated as a forecast of the net profit related to the whole purchase future associated with a customer. It equals the monthly sales to a certain customer, multiplied by the gross profit percentage, multiplied by the number of lifetime months a customer is expected to purchase from a certain store. Using company data, you have determined that the gross profit percentage is 25 percent, or 0.25. The monthly sales to an average customer would be $150 for the first group and $210 for the second group. A. Monthly Sales to a CustomerB. Gross Profit Percentage C. Number of Lifetime Months D. Customer Lifetime Value Over a 240-month period, what is the Customer Lifetime Value for the first group? a. $11,000 b. $9,000 c. $10,000 d. $12,000