Average age distribution

Question 1

In this module, you were introduced to the ways in which data can be applied in the sport industry. For this activity submission, fans were asked to complete a survey at a sport event. They were asked to provide demographic information such as age, gender, level of education, marital status, presence of children, and details on their home living situation. A consultant then ranked these fans on the likelihood — 1 being not likely at all, and 5 being most likely — of them becoming season ticket holders.

Figure 1: Average age distribution based on rating to become a season ticket holder.

Figure 2: Gender distribution based on rating to become a season ticket holder.

Figure 3: Education level distribution based on rating to become a season ticket holder.

Figure 4: Marital status distribution based on rating to become a season ticket holder.

Figure 5: Presence of children distribution based on rating to become a season ticket holder.

Figure 6: Homeowner status distribution based on rating to become a season ticket holder.

Figure 7: Average years in residence distribution based on rating to become a season ticket holder.

Use the data from the graphs to determine and describe the typical customer segment who would be season ticket holders.

(Max. 200 words)

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Question 2

The customer segment you identified in Question 1 can be classified as fanatics — the group that spends the most on tickets. Based on the content covered in this unit, answer the following questions:

Which customer segments should the organization focus on to improve engagement among casual fans (those who don’t currently hold season tickets)? Explain your answer.

What strategies can be used to improve fan engagement for this group of customers? How can they be persuaded to attend games more regularly? How does data collection and analysis fit into your strategy?

(Max. 500 words)

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