Preference Analytics
Preference Analytics
Find your unique consumer insights
Personalized Product Recommenders
Personalized Product Recommenders
Use your insights for conversion optimization
Hesitant Customer Detection
Hesitant Customer Detection
Prevent hesitant customers from bouncing
Personalized Omnichannel Marketing
Personalized Omnichannel Marketing
Be proactive on customer retention
Case StudyApparel

Website Personalization Ups Apparel Sales 48% For Local Business Woman

Hailing from Kaohsiung, Taiwan, SOLE is a multi-brand boutique curating western looks for Taiwanese ladies. Owner Ashley is fashion-worldly but lives local style to the max, selfie-modelling her looks on social media. Husband Alex handles the website. In late 2019 Alex realized that 1-to-1 personalization was a basic necessity nowadays so he set up it up and impressive results followed.

Problem

Website personalization is table stakes for fashion retailers

Solution

1-to1 personalized recommendations onsite and off

Results

48%increase in sales
10%increase of incremental sales
“The first time we used the Rosetta AI personalized product recommendations, we were shocked to see a huge sales increase. I didn’t expect it to be so powerful. The AI knows what our customers want! Setup was easy and now I have time to focus on other parts of the business.”Alex, brand operator at SOLE

SOLE

The big 48% sales increase during summer 2020 was no small feat in the increasingly competitive Asian apparel market.Multi-brand fashion websites have been growing quickly in Asia. And post-pandemic, shoppers have continued to appreciate the convenience of shopping online and the curation of multiple brands on a single site.Ashley and Alex have successfully built a large community of shoppers on social media with regular live streaming sessions and impressive consistency on traditional channels like Facebook and Instagram.
Case Study - Problem Icon
Problem

Website personalization is table stakes for fashion retailers

Ashley and Alex realized that online marketing has changed and that selecting outstanding styles is no longer the only factor that determines whether a multi-brand website is hot or not. Their competitors had already begun using personalization so they knew they had to give it a try.

Research from Salesforce over the past year backed up their intuition. Actually, 52% of shoppers now expect all shopping experiences to be personalized with product recommendations that truly understand individual style, right down to the favorite colors and preferred attributes.

Case Study - Solution Icon
Solution

1-to-1 personalized recommendations both onsite and off

Top websites nowadays go to great lengths to make one-to-one connections with shoppers. The ideal is to make the online experience more like the in-store service that Ashley herself would provide to a regular customer that she knows really well.

Rosetta.ai filters visitor data from their website’s customer browsing behavior, demographics, and previous transactions. Individual preference profiles are automatically created for first time visitors and then updated whenever they return.

Meanwhile, machine learning annotates the product catalog images with fashion-optimized tags including favorite colors and over 30 other attribute preferences (material, neckline, sleeve, etc.).

Then personalized product recommender boxes can be installed on whichever page Alex chooses. He currently uses them on his homepage and product details page to increase conversions and make more cross-sells.

1-to-1 remarketing

After shoppers have left the SOLE website, Alex can set up email outreach for promotions that have attributes matching items previously purchased or viewed.

For example, if a black sweater with long sleeves was viewed on the website, an automated email offer can be sent featuring items that were previously viewed. Individualized preference profiles can also be used to send personalized reminders via SMS or instant message.

Case Study - Result Icon
Results
48%Increase in sales
10%increase of incremental sales

As mentioned above, over the summer of 2020 the recommendation engine on the SOLE website increased sales by 48%.

After this initial increase the effect of personalized marketing has continued to play a reliable role in generating sales for SOLE. Now, a year later, incremental sales are at 10% per month.

The beauty is, sales are up and personalized marketing runs on its own while Ashley still has plenty of time to continue with the great marketing that built her brand up in the first place.