You have recently been recruited as an SEO coordinator for Centennial College. Describe at least 5 areas of focus forimplementing a SEO campaign for Centennial.

Decision-making is the process of using various tools and research to make a decision. for making a…

Answered: A software company recently designed…

Principles Of Marketing

17th Edition

ISBN:9780134492513

Author:Kotler, Philip, Armstrong, Gary (gary M.)

Publisher:Kotler, Philip, Armstrong, Gary (gary M.)

Chapter1: Marketing: Creating Customer Value And Engagement

Section: Chapter Questions

Problem 1.1DQ

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A company is considering whether to develop and market a particular product. There is 40% probability that the research and development department will come up with a viable product, and a 60% probability that the product will be scrapped. The cost of undertaking the research and development is 200 000. If the product development is successful, the company will build a plant. The product demand is unknown, and the company has the choice of building a large or small plant. The expected demand and the net present value is shown below: High Demand Low Demand ACTION Probability 75% Probability 25% Large Plant N$1 600 000 N$400 000 Small Plant N$1 000 000 N$1 000 000 Required: Advise the company on the most beneficial course of action using a decision tree.
Cool Beans is a locally owned coffeeshop that competes with two large coffee chains, PlanetEuro and Frothies. Alicia, the owner, is considering two different marketing promotions and thinks that CLV analysis will help her decide the best course of action. An average specialty coffee drink sells for $4.26 and has a margin of 83%. One promotion is providing loyalty cards to her regular customers that would give them one free specialty coffee drink after 10 regular purchases. Alicia estimates that this will increase the frequency of their purchases by 14%. Currently, her customers average buying 2 specialty drinks per week. The second promotion is targeted at new customers. She would offer a free specialty drink to incoming college freshmen by providing a coupon with their orientation packages. Because of her location near the college, she expects that 310 students will come to Cool Beans for a free trial. Of those, she anticipates that 16% will become regular customers who will…
Howard Weiss, Inc., is considering building a sensitive new radiation scanning device. His managers believe that there is a probability of 0.40 that the ATR Co. will come out with a competitive product. If Weiss adds an assembly line for the product and ATR Co. does not follow with a competitive product, Weiss's expected profit is $40,000; if Weiss adds an assembly line and ATR follows suit, Weiss still expects $20,000 profit. If Weiss adds a new plant addition and ATR does not produce a competitive product, Weiss expects a profit of $600,000; if ATR does compete for this market, Weiss expects a loss of $100,000. a) Expected value for the Add Assembly Line option = $ (enter your answer as a whole number).
The Astana airline always books more passengers on a flight than its capacity because of last minutes cancellations. The airline charges $835 per passenger from Almaty (Kazakhstan) to Frankfurt (Germany). However, due to overbooking, it asks a few passengers travelling more than the plane’s capacity to take another flight and offers a coupon of $350, including hotel, meal, etc. The experience has shown the following probability distribution corresponding to no-shows: Number of no-shows Probabillity 0 0.05 1 0.08 2 0.12 3 0.19 4 0.25 5 0.15 6 0.11 7 0.05 The airline hires you as a consultant because you have taken a course in supply chain management. What is the average number of no-shows based on the above distribution? How many overbookings should be made to minimize loss due to no shows, given the above probability distribution? Suppose you find out that last minute no-shows are normally distributed with a mean as determined in (a) above and a standard…
1. A clothing store is opening a second location and wants to decide whether to open in San Francisco or New York. Opening a location in either city will involve different capital expenditures and demonstrate different rates of success. Below are the relevant data: DECISION PROBABILITY OF PROBABILITY OF SUCCESS FAILURE San Francisco 40% 60% New York 30% 70% PAYOFF (SUCCESS) 15,000,000 30,000,000 PAYOFF (FAILURE) 4,000,000 10,000,000 DECISION San Francisco New York The costs associated with opening each location are as follows: in San Francisco, the store will need to invest $2 million, while a New York location will require an investment of $5 million. The expected payoff amounts represent the potential revenue if the store succeeds, or the potential loss if the store fails. REQUIRED: a. Draw the decision tree for the above problem; b. Compute for the Expected Value for each decision; c. Compute for the net gain / loss of each decision
The medical team at Birzeit Hospital are not sure whether to buy the COVID-19 vaccine from supplier A, B, or C. The analysis of previous experience dealing with the three suppliers reveals the following vaccine quality: Percent of ineffective vaccines Probability for Supplier A Probability for Supplier B Probability for Supplier C 2 0.60 0.50 0.70 5 0.30 0.30 0.00 7 0.10 0.20 0.30 The hospital buys 25000 vaccines each year which means that the probability to get 2% ineffective vaccines is 0.60 from supplier A, 0.50 from supplier B, and 0.70 from supplier C. Develop a decision tree to show your recommended alternative (supplier).
A new minor league baseball team is coming to town and the owners have decided to build a new stadium, either small or large. The success of the team with regard to ticket sales will be either high or low with probabilities of 0.75 and 0.25, respectively. If demand for tickets is high, the large stadium would provide a payoff of approximately $20 million. If ticket sales are low, the loss on the large stadium would be $5 million. If a small stadium is constructed, and ticket sales are low, the payoff is $500,000 after deducting the cost of construction. If ticket sales are high, the team can choose to build an upper deck, or to maintain the existing facility. Expanding the stadium in this scenario has a payoff of $10 million, whereas maintaining the same number of seats has a payoff of only $3 million. a. Draw a decision tree for this problem. b. What should management do to achieve the highest expected payoff?
An expensive piece of equipment is used in the masking operation for semiconductor manufacture.A capacitor in the equipment fails randomly. The capacitor costs $7.50, but if it burns out while the machine is in use, the production process must be halted. Here the replacement cost is estimated to be $150. Based on past experience, the lifetime distribution of the capacitor is estimated to be Number of Months Probability of of Service Failure 1 .08 2 .12 3 .16 4 .26 5 .22 6…
The company is considering whether or not they should drill the land. The cost of drilling is estimated to be $4 million. The company believes there are three possible findings after drilling the land: dry, wet and gushing. The probabilities for these outcomes are 0.5, 0.3 and 0.2, respectively. If the land is found to be dry, it obviously offers no profit. If the land is wet, it brings a potential profit of $10 million. If gushing, the potential profit from the land is $30 million. Answer the following questions, Q1 and Q2. Q1: Draw a decision tree to show the decision for this company based on the EMV criterion. Nodes and arcs are provided below and you can make more of them by using "copy" and "paste" Q2: The company has the option of using some new technology and equipment combined with seismic survey data to learn the presence of oil (dry, wet or gushing) before drilling the land. However, it requires $2.3 million investment for the technology, equipment, and required analysis. Is…
A particular company is considering a $3 million research and development (R&D) project. Profit projections appear promising, but the president of the company is concerned because the probability that the R&D project will be successful is only 0.50. Secondly, the president knows that even if the project is successful, it will require that the company build a new production facility at a cost of $20 million in order to manufacture the product. If the facility is built, uncertainty remains about the demand and thus uncertainty about the profit that will be realized. Another option is that if the R&D project is successful, the company could sell the rights to the product for an estimated $23 million. Under this option, the company would not build the $20 million production facility. Consider the decision tree. Start R&D Project ($3 million) 1 Successful .5 Not Successful .5 Do Not Start R&D Project 3 Building Facility ($20 million) Sell Rights 4 What is the expected value of your strategy…

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