Business Case: Aerofit - Descriptive Statistics & Probability

🎯 Objective

Create comprehensive customer profiles for each AeroFit treadmill product through descriptive analytics. Develop two-way contingency tables and analyze conditional and marginal probabilities to discern customer characteristics, facilitating improved product recommendations and informed business decisions.

📝 Project Report

• You can access the complete project python file here - Python
• You can access the complete project in pdf format here - Report

📚 About Data

The company collected the data on individuals who purchased a treadmill from the AeroFit stores during three months.The data is available in a single csv file

Product Portfolio

• The KP281 is an entry-level treadmill that sells for USD 1,500.

• The KP481 is for mid-level runners that sell for USD 1,750.

• The KP781 treadmill is having advanced features that sell for USD 2,500.

Feature	Description
Product	Product Purchased: KP281, KP481, or KP781
Age	Age of buyer in years
Gender	Gender of buyer (Male/Female)
Education	Education of buyer in years
MaritalStatus	MaritalStatus of buyer (Single or partnered)
Usage	The average number of times the buyer plans to use the treadmill each week
Income	Annual income of the buyer (in $)
Fitness	Self-rated fitness on a 1-to-5 scale, where 1 is the poor shape and 5 is the excellent shape
Miles	The average number of miles the buyer expects to walk/run each week

Business Recommendations

Marketing Campaigns for KP781

• The KP784 model exhibits a significant sales disparity in terms of gender, with only 18% of total sales attributed to female customers. To enhance this metric, it is recommended to implement targeted strategies such as offering special promotions and trials exclusively designed for the female customers.

Affordable Pricing and Payment Plans

• Given the target customer's age, education level, and income, it's important to offer the KP281 and KP481 Treadmill at an affordable price point. Additionally, consider providing flexible payment plans that allow customers to spread the cost over several months. This can make the treadmill more accessible to customers with varying budgets.

User-Friendly App Integration

• Create a user-friendly app that syncs with the treadmill. This app could track users' weekly running mileage, provide real-time feedback on their progress, and offer personalized recommendations for workouts based on their fitness scale and goals.This can enhance the overall treadmill experience and keep users engaged.

Customer Profiling

• Customer Profile for KP281 Treadmill:

  • Age of customer mainly between 18 to 35 years with few between 35 to 50 years
  • Education level of customer 13 years and above
  • Annual Income of customer below USD 60,000
  • Weekly Usage - 2 to 4 times
  • Fitness Scale - 2 to 4
  • Weekly Running Mileage - 50 to 100 miles

• Customer Profile for KP481 Treadmill:

  • Age of customer mainly between 18 to 35 years with few between 35 to 50 years
  • Education level of customer 13 years and above
  • Annual Income of customer between USD 40,000 to USD 80,000
  • Weekly Usage - 2 to 4 times
  • Fitness Scale - 2 to 4
  • Weekly Running Mileage - 50 to 200 miles

• Customer Profile for KP781 Treadmill:

  • Gender - Male
  • Age of customer between 18 to 35 years
  • Education level of customer 15 years and above
  • Annual Income of customer USD 80,000 and above
  • Weekly Usage - 4 to 7 times
  • Fitness Scale - 3 to 5
  • Weekly Running Mileage - 100 miles and above