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Case StudyApparel

Personalization Platform Improves Website CX, Boosts Sales for J-WELL

The J-WELL look is for nature-loving “Mori” style women, a Japanese aesthetic that’s loved in Asia, especially by women in their 30s and 40s. Their customers love the simplicity of the look and want an easy online CX (customer experience) while shopping. So J-WELL recently made its product tagging and merchandizing more efficient and their onsite CX more personal.

Problem

Need onsite personalization but can’t manage product/customer data

Solution

AI-driven product tagging and fashion-optimized personalization

Results

11.3xReturn on ad spend improvement
7%Average order value increase
“Before working with Rosetta AI, it was hard to personalize our site for each customer, since we have a large amount of SKUs and a complex product line. Analyzing customer journeys on our own was also time-consuming. The Rosetta AI recommendation tool quickly solved these difficulties and automated our personalized marketing effort.” Jay - Co-founder and Marketing Director
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J-WELL

The J-WELL online shoppers are a little older than other segments of online apparel shoppers, and they appreciate an easy to navigate customer journey as they go.With this in mind reaching out to shoppers personally to guide their experiences was the courteous thing for the J-WELL marketing team to do.So they began exploring ways to classify their large product catalog and track customer journeys on their website. But problems soon arose that are not uncommon when trying to DIY this kind of ecommerce challenge. There’s plenty of product and customer data, but managing it accurately isn’t easy.
Case Study - Problem Icon
Problem

Need onsite personalization but can’t manage product/customer data

Today personalization is more significant than ever, especially in the fashion industry where customers of all ages anticipate personalized offers.

The marketing team at J-WELL had successfully implemented marketing campaigns on Facebook and Instagram to drive traffic to their branded website but tagging their large and complicated product catalog wasn’t easy and they were never sure if their attempt to do so was accurate.

They were having the same problem while collecting customer data. Without the right analytic tools, they were having a hard time providing the customer experience that they knew their customers required.

Case Study - Solution Icon
Solution

AI-driven product tagging and fashion-optimized personalization

Personal profiles are created automatically for first-time visitors and updated when they return. Product tagging is automatic with AI visual recognition able to analyze any product image viewed by the shopper and analyze the shoppers preferred attributes.

This not only helps for precise recommendations of the right product to each shopper, it also saves hours of daily manual analysis of customer behavior. Rosetta AI was J-WELL's first and final on-site recommendation tool because it not only solved the problems that the company had, but also helped increase their key marketing metrics including ROAS sand AOV.

Case Study - Result Icon

Results

11.3xReturn on ad spend improvement
28.7%Average order value increase

After subscribing to the Rosetta AI Personalization Platform J-WELL improved average order value right away, raising it from $35 to $45. This helped raise return on ad spend, which increased 11.3x. But more importantly, the platform saved time and lowered costs associated with daily data management and added the personal touch to their online customer experience.