New Web App Simplifies Daily Work, Boosts Sales for J-Well
App discovers consumer insights from first-party data, pumps ROAS to 11x
Case Study Summary
J-WELL began as a small manufacturer of simple-living women’s streetwear and evolved into a Japanese e-commerce clothing brand. Nowadays, young people are good at using the web to find their perfect fit, but women in their 30s and 40s find it difficult to find a style that suits them due to their busy work schedules. J-WELL’s team set out to solve this problem by enhancing their product classification.
Problem
Trouble classifying products and analyzing customer journeys.
Solution
Automated product tagging and optimized recommendations.
Results
ROAS: 11.3x Average Order Value: ↑7% from $35 to $45 per order.
J-WELL
Believing that every woman is worthy of treating herself, the founder decided to create a brand with the best design, quality, and price. J-Well’s style of clothes focuses on the trendy Japanese “Mori” fashion which originated two years ago on a Japanese social networking website, referring to women in their twenties who live a simple and natural lifestyle — an attractive style for women of all ages!
Running a brand is not easy, and it requires a significant investment in terms of marketing, store expansion, and so on. This is the primary reason why the prices of brand clothing remain so high. J-WELL chose to use an online store approach, increasing its popularity and keeping the prices lower for customers.
In the age of e-commerce, there’s no shortage of data but it’s hard to handle. Most modern brands are considering how to use various data analysis tools to improve their online marketing strategies. J-WELL is no different.
“Before working with Rosetta.ai, we considered it hard to be personalized to each customer, since we have a large amount of SKU with high complexity — we had to classify the products and analyze customer journeys on our own. Rosetta.ai’s recommendation tool quickly solved these difficulties.
Problem
Product classification and customer journey analysis are complicated and time-consuming
Today personalization is more significant than ever, particularly in the extremely competitive fashion e-commerce market segment, where young customers anticipate personalized offers.
The marketing team at J-WELL has successfully implemented traditional channels like Facebook and Instagram into their strategy and managed to get a decent following on these social networks.
However, it took them ages to classify the available products the right way on their website. More importantly, it was hard to define whether the collected customer data was accurate or not. Without the right analytic tools, it is difficult to make data-driven decisions that lead to customer retention.
Solution
Automated product tagging and 1-to-1 personalized recommendations
Personalized recommendations make product discovery easier by grouping many of the consumer’s favorite things. The software filters customer browsing behavior, demographics, and previous transactions from the website’s visitor data. Personal priority profiles are created automatically for first-time visitors and updated when they return. Rosetta.ai precisely recommends the right product to each shopper, saving hours of 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.
Results
Return on ad spend: 11.3x
Average Order Value: ↑28.7%
After incorporating the Rosetta.ai web app J-WELL improved average order value, which rose from $35 to $45. This helped raise return on ad spend, which increased 11x. But more importantly, the web app saved time and lowered costs associated with managing their data and improved product classification and ultimately their online customer experience.
Personalized recommendations have increased J-WELL’s understanding of each customer’s behavior and preferences. These in-depth consumer insights cultivate sincere connections with customers, increasing the likelihood that they will return! By truly understanding their TA desires, J-WELL has built a loyal customer base.
About Rosetta.ai
About Rosetta.ai
The Rosetta.ai Personalization Experience Platform discovers shopper preferences from your first-party data and provides one to one product recommendations and hesitant customer detection.
Our AI algorithms are written especially for apparel, beauty and accessories ecommerce merchants and we serve them passionately because their success is our success.
On average, our clients double their order value and triple their conversion rate because their shoppers are more genuinely engaged by the experiences our platform provides.
Rosetta.ai has been featured in Forbes Top 25 ML startups and Analytics Insights Top 10 companies.
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