Changing shopper behavior has accelerated the luxury market’s transition to an omnichannel system. Considered as one of the more resilient industries, the metamorphosis of luxury fashion marketplaces to digital platforms has been swift. Purple Style Labs was one of the early eCommerce retailers in this space and has consistently delivered a stellar shopping experience for their shoppers. To continue the customer-first tradition, they turned to Vue.ai to help deliver recommendation solutions that would help them create personalization for their shoppers - and help shoppers discover brands and enjoy a luxurious experience on their site effortlessly.
In less than a year, their multi-designer platform Pernia’s Pop-Up Shop saw a 26.3% increase in user engagement rate with Vue.ai.
PSL has built a digital luxury empire with a single-minded focus on delivering luxury in the most efficient way possible. Their USP has been amplifying the conversation around luxury brands while improving reach for these brands digitally. Purple Style Labs famously focuses on translating luxury retail experiences online and delivering maximum value for shoppers through the entire shopper journey.
To craft the best possible experiences for their shopper while providing solutions that would help every shopper find the right product at the right time, PSL required a solution that would:
This brought them to Vue.ai.
Dynamically personalized similar products to ensure users saw the most relevant products through the shopper journey.
Shoppers considering a product probably like one or more of its attributes and are likely to be interested in other products with attributes similar to the choice they have made. If they are looking for options and don’t see a product that they like, they lose interest and drop off.
To avoid this, Vue.ai boosted its similar products recommendation with dynamic personalization on product pages. This ensured that users see a selection of products similar to the product the shopper is viewing. With dynamic personalization, the recommendations matched the affinities and preferences displayed in shopper's latest clicks and site activity.
In April & May the average price of product sold reduced due to sale period and COVID.
Attributable products purchased (%) during this period has remained consistent
Brand-based similar product recommendations to retain users who have clear brand-preferences
Shopper data analyzed over some time showed that shoppers coming to the site were looking for specific brands and had clear preferences on what they wanted from the store. The shoppers were more likely to continue on their shopper journey and keep coming back to the site if they knew they would find their preferred brands every time.
PSL’s team and Vue.ai’s team opted to have brand-based recommendations along with similar products on the product page. Vue.ai’s Similar Products help expose more products within the same brand to the shopper.
Brand based Similar Product recommendations have improved revenue contributed from modules on product detail page by 75%
Search page personalization to reduce drop offs and improve product discovery
When a shopper searches for a product and sees no results, she is likely to leave the site without making a purchase. This drop off in the conversion funnel can be rectified with the right kind of personalization in the search pages. The customer used Vue.ai to implement recommendations like recently viewed on the search page that gave the customers the option of jumping back into their journey. This strategy helped increase click-through rate and revenue contribution from the search page resulting in close to a 72% increase in click-through rate in the first six months of implementation.
Vue.ai’s recommendations on the search results page help shoppers discover trending products that they would like. An increase in click-through rate is indicative of shoppers using the widget.
The new decade is one where customer experience will be defined not by individual touchpoints or transactions but by end-to-end journeys that help build meaningful relationships with the shopper. Retailers like Vue.ai customers looking to build the eCommerce portals of the future today are looking at personalizing the entire shopper journey on and off the site.
To achieve this and to deliver experiences that are cognizant of shopper mindset, intent, and preferences, the customer looked to Vue.ai. True personalization can help deliver journeys for every single shopper every time and has a 360-degreeview of shopper and product to make the entire site experience memorable and useful. With a dynamic personalization solution and a recommendation engine that can be tweaked to analyze and implement solutions that are backed by data every shopper on the site is ready to step in and step out with an experience that can rival brick and mortar luxury stores.
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