Changing shopper behavior has accelerated the luxury markets' 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. This premium marketplace customer 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, the customer saw a 26.3% increase in user engagement rate with Vue.ai
The customer has built a digital luxury empire with a single-minded focus on delivering luxury in the most efficient way possible. The customer famously focuses on translating luxury retail experiences online and delivering the maximum value for the shopper 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, the retailer required a solution that would:
This brought them to Vue.ai.
Dynamically personalized similar products to ensure users saw the most relevant products through 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 were shown a selection of products similar to the product the shopper is viewing. It made the experience dynamically personalized to ensure the shopper sees the most relevant product that matches their preferences and reflects changes with every click the shopper makes on the site.
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 very 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.
The customer’s team and Vue.ai 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 increasein click-throughrate is indicative of shoppers using the widget.
I understand that Vue.ai® may reach out to me with relevant communication.
By clicking ‘Request a Demo’, you agree to our Privacy Policy.