Armani Beauty is a prestigious cosmetics and fragrance line by the iconic Italian fashion house, Giorgio Armani. Launched in 2000, the brand embodies the sophistication, elegance, and timelessness associated with Armani's fashion designs. Armani Beauty offers a curated selection of high-quality makeup, skincare, and fragrances that cater to both men and women.
Armani Beauty sought to expand their Luminous Silk Foundation collection by offering an increasing number of shades. To boost online sales, they aimed to develop a tool capable of gathering customer input and suggesting suitable shades in return - this is known as a Shade Finder. Their goal was to recreate the in-store experience online in a time-efficient and cost-effective manner. In addition to this, they wanted to increase customer data collection and promote their content across several channels
Our platform features a design studio that enables brands to create various interactive interfaces effortlessly, using an intuitive drag-and-drop functionality. Armani Beauty's team efficiently built an interactive microsite, which recommended one of 40 different foundation shades, in just a few hours. Moreover, they simultaneously deployed this tool across multiple channels using our platform, resulting in significant time, resource, and cost savings.
We supplied training for our design studio, equipping the Armani team with all the necessary tools to create their microsite, eliminating the need for external agencies and developers.
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The team was able to collaborate and share design iterations effortlessly with the wider team.
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They deployed the microsite across multiple channels using our platform and tracked live analytics to monitor its performance.
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Armani Beauty was able to save costs and collect useful first-party data on their customers. in addition to this, they provided a unique personalised experience across several channels.
Reduction of deployment costs due to removal of multiple vendors, enabling a smaller investment for larger outcomes
Marketing opt-in vs 50% Odore benchmark
First-party data points gathered