This Question Gives You More Market Sizing Practice (it’s A

This question gives you more market sizing practice (it’s a skill you’ll need)

Using the logic from the chapter, estimate the possible market for the number of pairs of football pants a manufacturer could sell in your city. To do this, first find the number of high schools in your city’s school districts, focusing on the largest district if applicable. Assume that 90% of those high schools have both a varsity football team with 40 players and a junior varsity team with 35 players. Each player is expected to have two pairs of game pants—one in the dark school colors and one in the light—and on average, each player also has 1.5 pairs of white pants for practice. Based on these assumptions, calculate the total potential market for football pants in your city.

Paper For Above instruction

Market sizing is a critical skill in business analysis, allowing companies to estimate potential demand for their products and make informed strategic decisions. In this context, estimating the market for football pants in a specific city involves understanding the local high school football landscape and applying logical assumptions to quantify demand.

First, identifying the total number of high schools in the largest school district of the city is essential. For illustration, suppose the district comprises 50 high schools. This figure can be obtained by visiting the school district’s official website or utilizing educational directories. Once the total high schools are known, the next step involves applying the assumption that 90% of these schools have both varsity and junior varsity football teams. This results in 45 schools (0.9 x 50).

Each of these schools is presumed to have a varsity team with 40 players and a JV team with 35 players, totaling 75 football players per school (40 + 35). To determine the total number of football players in the district, multiply the number of schools by the average number of players: 45 schools x 75 players = 3,375 players.

Next, considering the apparel needs per player: each football player requires two pairs of game pants—one in the school’s dark colors and one in light colors—leading to a total of 2 x 3,375 = 6,750 pairs of game pants. Additionally, the assumption that each player averages 1.5 pairs of white pants for practice results in 1.5 x 3,375 = 5,062.5, approximated to 5,063 pairs.

Adding these figures yields a total potential market demand for football pants in the district: 6,750 pairs (game pants) plus 5,063 pairs (practice white pants), equating to approximately 11,813 pairs of football pants. This estimate provides a rough but informed approximation of the market size, which can be refined with more specific local data or adjusted assumptions.

Furthermore, this estimation emphasizes the importance of understanding local demographics and institutional structures when conducting market sizing. It also highlights how assumptions—such as the percentage of schools with football teams and the number of players—are integral to generating realistic market estimates. Such analysis supports strategic decision-making for manufacturers targeting high school sports apparel markets, demonstrating the practical application of basic logic and data gathering in business.

References

  • Bickel, R. (2017). Making Sense of Market Research: A Practical Guide for Business Decision Makers. Routledge.
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  • Kotler, P., & Keller, K. L. (2015). Marketing Management (15th ed.). Pearson.
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  • Statista. (2023). Number of high schools in the United States. Retrieved from https://www.statista.com.
  • U.S. Department of Education. (2022). High School Athletics Participation Survey. Retrieved from https://www.ed.gov.
  • Gordon, R. (2014). The Art of Market Sizing. Harvard Business Review. https://hbr.org
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