Data Analysis on the Ratings and Reviews of Ulta Men
The skills the author demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.
Photo by Lumin on Unsplash
BackgroundΒ / Interest
According to data from CNBC, men grooming products markets are expected to hit $166 billion in 2022 and male skin care products sales have jumped 7% and are currently valued at $ 122 millions.Β
Ulta Beauty is one of the largest U.S. beauty retailers for cosmetics, fragrance, skin care products, hair care products and salon services. Ulta Beauty has brick and mortar stores as well as a strong online presence with an extensive offering of more than 25,000 products from approximately 500 well-established and emerging beauty brands. For this web scraping project, I collected and analyzed data from Ulta Men to find the best product based on ratings and reviews.
Methodology
Using scrapy I scraped Ulta Men for category, brand, product name, price, counts of reviews and average reviews ratings. For a detailed analysis of the data and the code please follow theΒ link https://github.com/naekoue/UltaMen.Β
Data Analysis
After cleaning the data and excluding travel size products, the data consisted of 87 brands and 603 different products with a median price ranging from $12 to $ 85.
The Haircare and Cologne were the categories with the most review counts.
Data Insights
For each category, the product the most popular based on average ratings and reviews.
The best most reviewed product in skincare is Turbo Wash Energizing Cleanser by Jack Black while the best in the shaving category is Bear oil by Jack Black.
The best most reviewed cologne is Aqua Di Gio Absolu Eau de parfumΒ by Giorgio Armani.
Drench Conditioner by Sebastian is the best most reviewed hair productΒ and the best most reviewed bodycare product is Daily Moisturizing Lotion by Aveeno.
Conclusion
The products with the highest ratings and reviewed counts should be the one used in a marketing campaign to increase sales and target new customers. Further work would include the analysis of the contents of the reviews to highlight gender neutral products.