Quantifying Snack Foods Gender My First Objective

Quantifying Snack Foods

Gender

My first objective would be to reduce the mass of snack food into distinct items, so that I can assess each separately and see which items I should continue and procure more of, and which lines of produce I should discontinue. Breaking them, therefore, into brands (e.g. Hershey's, Musketeers, Action Max etc.) as regards chocolate, or into the specific category of food e.g. chocolate itself would be interested in surveying whether more males than females are interested in the specific brand or the specific category.

Knowing this can help me the industry in at least two ways: firstly, I can strategically place the specific brand or product in places where that specific gender is more likely to see them when shopping. For instance, if I discover that more females than males are attracted to chocolate, I can shelve chocolates near or alongside feminine items, such as hosiery. Secondly, I can direct the marketing department to package those specific brands, or that specific product, in a manner that would appeal more to females than to males.

The variable 'gender' is a discrete, rather than continuous item, since it has only two levels: male or female.

2. Potatoes chips / tortillas / or pretzels

Business demographics (Mogelonsky, 1997) records that potato chips remain the all-time high with 89% of Americans indulging in this snack, whilst 76% prefer tortilla chips, and 63% go for pretzels. Most Americans again prefer the salty variety of chips, even thoguh you can procure them salt-free.

Potato chip eaters generally buy potato chips approximately every 3 weeks; tortilla chips buyers buy them every 32 days on average, whilst pretzel eaters replenish their snacks every 37 days.

Every community and locality is again different depending on cultural habits. I would want to assess the amount of potato chips, tortillas, or pretzels that are bought in my store; whether these are indeed the most popular items; and the amount of each category that is acquired per week. This would help me in terms of predicting and replenishing my resources.

Measuring the amount of products in each category that is sold and how often they are sold would be conducted along a continuous scale.

3. The category of shoppers

It has further been discovered (Mogelonsky, 1997) that families with children aged 6-12 and families with teenagers spend more than expected on potato chips as well as on tortilla chips, but only slightly more on pretzels. The reverse is, however, with childfree couples, whilst so-called empty nest couples spend diametrically more on pretzels and less on tortillas and potato chips.