Case Study
Case study: How Paco Rabanne delivered an innovative and personalized customer experience for its return to e-commerce.
In collaboration with Nam Vu, Senior E-commerce Manager
Visitors who used Fitle abandon less their shopping cart by...
-9.8 %
Visitors who used Fitle purchase...
14.5 more
The number of returned products from customers who used Fitle is...
0
Paco Rabanne.
Founded in 1966, the fashion house Paco Rabanne has forged a unique identity, a synthesis of avant-garde contemporary style and innovative expertise
The legendary chainmail dresses would define a new era, evolving the forms in a style still emblematic of the house to this day. Among Paco Rabanne's muses are Brigitte Bardot, Jane Birkin, Jeanne Moreau and Audrey Hepburn. Appointed artistic director of Paco Rabanne in July 2013, Julien Dossena has reinvented the visionary spirit of Paco Rabanne by combining it with new relevance.
Context and Challenges
Paco Rabanne relaunched its e-commerce website, Pacorabanne.com, in September 2019 and offers women and men clothes collections as well as its accessories.
As an innovative company, Paco Rabanne wanted to offer a personalized experience to its customers: a reliable tool allowing a precise size recommendation for its online customers.
Finally, Paco Rabanne wanted to limit the configuration of the solution to business related issues and get rid of the technical aspects for a rapid deployment.
Choosing the Fitle solution
The ease of use of the Fitle tool and its ability to integrate with existing systems has made it a tool of choice. Paco Rabanne thus initiated a customer centric approach by deploying Fitle on its international site.
Fitle researches have shown that 81% of consumers with a positive sizing experience are likely to buy a Paco Rabanne product again.
Finally, Paco Rabanne chose Fitle for its innovative functionalities but also for its team who knew how to create a real partnership from the start of the project.
Discover Fitle products:
E-commerce plugin.
Size recommendation tool integrated into your product pages. Size recommendation based on body shape and fit preference.
Learn more about the PluginDashboard Analytics
Monitoring of plugin performance, identification of restocking needs, morphological and demographic data on your consumers.
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