This project was conducted on behalf of the CEO of an Italian footwear company to assess competitor positioning, with a specific focus on product range and pricing. The goal was to help the brand stay competitive and uncover opportunities to better align with customer expectations.
- Web scraping pricing and product data from two competitor brands: Melluso and DueLune
- Data cleaning and formatting using Python
- Comparative analysis by:
- Brand
- Footwear category and subcategory
- Target sex (male/female)
- Data collection and cleaning:
BW3_Melluso.ipynb– Melluso dataBW3_DueLune.ipynb– DueLune data
- Main analysis:
Analysis.ipynb– Comparison of product offerings and pricing across competitors
Key insights include:
- Number of models offered per category and subcategory
- Average price differences
- Distribution of offerings by gender
Analysis performed entirely in Python using:
bs4(BeautifulSoup)requestsunidecodepandasseabornmatplotlibnumpy
For questions or feedback, contact:
leonardo.porcacchia@gmail.com