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Use this information for question that refer to the Super Gaming Company and Accessories (SGCA) case. Kayla Jurgenson,marketing manager for Super Gaming Computers and Accessories (SGCA) ,is reviewing her company's plans for the coming year.
SGCA sells its products through retail computer dealers and some specialty gaming stores.Currently,SGCA is carried in 25 percent of all retail computer stores nationwide,but in California is carried in only 10 percent of stores.So,Kayla has set an objective of being in 25% of all retail computer stores in California within one year.
SGCA plans to introduce a new SuperDuperGamer model with special features that fits its target market of teen and young adult gamers.The SuperDuperGamer uses a new technology and is expected to be a breakthrough product,but it will be important to build awareness for it to succeed.So,the advertising objective is for 40% of SGCA's target market to be aware of the new SuperDuperGamer model within 3 months.SGCA also wants to help its retailers reduce their current stock of SuperGamer computers before the new model comes out in a month.The SuperGamer has been on the market for two years and has been a top seller in the category.SGCA's advertising objective for the SuperGamer computer is to reduce current dealer stock by 80% within the next month.
SGCA is also introducing a SuperEnhancer sound card,which is designed to significantly enhance the game-playing experience with older computers.Research with gamers show that it is very well received,so the advertising objective for the SuperEnhancer sound card is to gain 40% market share among all gaming-specific sound cards in the next year.To help achieve that objective,Jurgenson is planning to use an ad that shows the sound card and a game player being knocked off his chair by the sound.The headline on the ad reads,"9 Out of 10 Gamers Say that the SuperEnhancer Sound Beats All Others!"
The copy thrust of the ad for the SuperEnhancer sound card is an example of what kind of advertising?
Poisson Parameter
A parameter of the Poisson distribution that represents the average number of occurrences of an event in a fixed interval of time or space.
Mean Number
The arithmetic average of a set of values, calculated by dividing the sum of all values by the number of values.
Poisson Probability
The probability of a given number of events happening in a fixed interval of time or space when these events occur with a known constant mean rate and independently of the time since the last event.
Binomial Probabilities
The probabilities of achieving a specific number of successes in a fixed number of Bernoulli trials, characterized by only two possible outcomes.
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