Beauteprivee is a French ecommerce company created in 2007. The brand is now the number one private sales company dedicated to beauty and well-being with 5.5 million members, 1,000 beauty brands and more than 500 spas. This pure beauty player currently employs 40 people at its headquarters in Paris.
Offer members personalised products throughout their customer journey.
Automate merchandising and management of personalised areas on the website such as the list pages.
Ensure the right content with highest potential for interest and conversion is recommended.
Personalisation strategy: Covering all major touchpoints of the customer journey on all sales channels (desktop & mobile).
Defined personalisation strategies for each recommendation area through an extensive A/B test phase managed directly from the platform defining the most effective strategies between the machine learning of the Attraqt XO algorithms and the addition of merchandising rules (complementary, similarity).
Implemented product recommendations onsite at key locations: home page, product pages, basket page and basket pop-in. Then reinforced on-site personalisation at complimentary touchpoints across the customer journey: floating wish list, spa pages, no result search page which significantly drive the conversion.
Extended personalisation to some of Beauteprivee e-shops – Perfumes, Face care, Hair care, Make-up and your personalised selection.
Supported the increase of mobile traffic and revenue through the app with product recommendations on the main points of customer contact: sales categories, e-shops, product pages, shopping cart page.
Mobile represents 80% of Beauteprivee’s total traffic. Attraqt Experience Orchestrator (XO) capitalised on this channel to offer a tailored user experience and increase mobile revenue.
Noémie Pezet – Marketing Manager
Of all the revenue generated through Attraqt’s personalization, 71% of it comes via mobile traffic
Attraqt’s now generates up to 15% of BeautePrivee’s global turnover
Attraqt have contributed to an increase of 17.6% in conversion rates directly from the areas where recommendations were applied