Bike Sales Data Visualization with Excel

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In this project we use Excel formula to clean the data, then create a pivot table for easy analysis and visualization, resulting in a presentable chart.

Click link to download the dataset on Kaggle.

Insights

  • The majority of bike purchases occur in North America.
  • Single individuals have a higher average income per bike purchase compared to married ones.
  • Customers with a graduate degree make up the largest group of bike purchasers.
  • 40-54 age group has the highest count of purchased bikes, closely followed by the 20-39 age group.
  • A significant number of customers commute either 0-1 miles or more than 10 miles.

aCTIONABLE Insights

  • Target North America: Focus marketing efforts on North America to capitalize on the existing interest in bikes in this region.
  • Segmentation Strategy:
    • Singles: Tailor advertising campaigns to target single individuals, as they represent a significant customer segment.
    • Graduate Degree Holders: Develop special offers or promotions for customers with graduate degrees.
    • Age Groups: Create targeted promotions for the 40-54 and 20-39 age groups to boost sales.
  • Product Development:
    • Consider developing products or services specifically catered to short-distance commuters (0-1 miles) and long-distance commuters (more than 10 miles).

By adntma

Hello World!

I'm a nurse and also virtual freelancer with extensive experience and expertise in various digital projects.

My skills covers a website design and development, data-related skills, generative AI, digital marketing and graphic design.

This blog is simply aimed to share my thoughts and ideas about everything.