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Salmoiraghi e Viganò web scraped data

About the website

Salmoiraghi e Viganò is an Italian company specialized in the optometry and ophthalmology sector. Ever since its foundation in Milan in 1865, it has grown to become a benchmark in the countrys retail sector for eye care and eyewear products. The company is owned by Luxottica Group, a international leader in the eyewear industry listed on Borsa Italiana S.p.A. (LUX), as of 2001. The company quickly achieved growth through its commitment to customer satisfaction, which it fostered by offering high-quality products and services. The Wikipedia page of its parent company, Luxottica, provides more depth on its history and business model. However, there is no available Bloomberg page dedicated exclusively to Salmoiraghi e Viganò.

The landscape of the eyewear retail sector in Italy has seen the rise of several reputable enterprises that compete with Salmoiraghi e Viganò, two of which include Ottica Avanzi and GrandVision Italy. Ottica Avanzi, with its presence across 19 regions in Italy, operates on a model that combines professional assistance with a vast selection of frames and lenses. On the other hand, GrandVision Italy offers its diverse customer base an array of products and services across various optical and hearing categories. Pivotal information about these competitors can be gained through their Wikipedia pages, here and here, and their Bloomberg profiles, found here and here respectively.

Data scraping plays a crucial role in gaining insights on Salmoiraghi e Viganòs online operations. By comparing the data scraped from the Salmoiraghi e Viganò website with similar data from its competitors websites, one can assess pricing strategies, discounts, product assortment, and much more. Such information subsequently aids in identifying trends in customer behavior and preferences. Additionally, it enables better decision-making with regards to market strategies and provides tangible indicators to measure market performance. For instance, consistently monitoring prices and discounts can help the company adjust its pricing dynamically to stay competitive.

Link to dataset

Salmoiraghi e Viganò dataset