With so many apparel websites out there nowadays, the Miustar Growth Management team knew that selling the hottest items and spending more on advertising are not long-term solutions.
They needed to work more efficiently with what they already had which meant converting more of their existing traffic and getting more return on their ad spend. But both of those goals depend on something more fundamental: consumer insights.
In the past, Miustar had to spend a lot of time updating product information manually and analyzing consumer shopping journeys one by one in order to get consumer insights. For years they suspected this wasn’t the ideal way to handle their data.
Leading brands these days are focused on the customer. They've realized that understanding consumer preferences and providing an enjoyable shopping journey are the best ways to make more conversions. This was the direction that Miustar needed to go and Rosetta AI was there to guide them.
The Rosetta AI personalized marketing solution is unique because it uses a visual-AI-driven recommendation engine optimized for fashion e-commerce.
For Miustar, it improved their backend efficiency and provided accurate recommendations to shoppers, thus streamlining the workflow and increasing conversions. Most importantly though, the extra-detailed tags get used to build up shopper preference profiles.
Automating product tags relies on computer vision trained by Rosetta AI beauty and fashion industry experts. The training makes sure that the AI writes the tags to industry standards.
Category tags can be set to #style #pattern #material #sleeves #color, and up to 30 more. The tags can also be written into product descriptions, and used as clickable links to other related categories, improving product discovery.
The additional product tagging detail in shopper preference profiles helps Miustar make accurate recommendations, a subtle part of the CX that goes a long way to build better customer relationships.
Plus, the automation saves time spent on maintaining web pages with product updates.
The awesome accuracy and high level of detail of the Rosetta AI tags provides deeper insight into consumer preferences so the AI can predict what shoppers intend to buy at just the right time.
But the AI understands more than just consumer preferences. It also analyzes on-site behavior in real time, paying attention to clicking, scrolling, browsing and buying on every page.
With this data in hand the AI runs a recommender box featuring items “You might really like” on the Miustar product details page, just when the shopper is close to purchasing.
Seeing products with attributes that are similar to ones seen before converts shoppers at a higher rate, and even drives up average order value.
Personalized recommendations ease product discovery, letting consumers find lots of their favorite things grouped together. Saving time while searching this way removes the friction-point of searching for products one by one. It makes them click through to more products, stay longer and buy more!
After adding personalization to their online marketing strategies, Miustar improved CVR, AOV and revenue, as well as saving time and lowering costs to maintain the product information.
The increased cross-sells on the Miustar’s product page have achieved a 32% conversion rate increase and 1.47x greater effectiveness for ROAS.
With AI-powered personalized marketing, Miustar grew business, saved time, lowered costs and became able to predict more future purchases based on accurate customer preferences (thus reducing stockpiling).
Above all, personalized recommendations have levelled-up Miustar’s understanding of each customer’s behavior and preferences at the critical last phase of the customer journey. The deeper consumer insights create authentic connections with consumers, greatly increasing the likelihood of many happy returns!