Select recommendation Type

Those who haven't finished authentication can still create new recommenders (can not launch)
1. Select "Recommendation Type". We provide several types for e-commerces.

Recommendation types

To choose the most suitable recommenders
  • You'll love me™
index: increase clicks, orders and views.
recommended place: homepage
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Rosetta.ai's core recommendation uses deep learning to know customers' behavior and preferences within 24 hours. Combining with experiences in fashion industry, it can predict the visitors' favorite products. It's a more overall recommender which can raise return rates and loyalty from old customers.
The recommenders for Products list page or pop-up:
Steadily Popular
Trending this week
Suddenly Hot
index: increase clicks, orders and conversion
  • recommended places: Products List Page and right edge tab pop up
  • Based on monthly customer behavior index (view, click, buy), visitors can see products that most people are interested in.
  • Suitable for makeup, skincare, daily products ecommerce or those who launch new products every month.
index: increase clicks, orders and conversion
  • recommended places: Products List Page
  • Based on bi-weekly growth index(view, click, buy), it can show unpopular products as well.
  • Suitable for apparel, accessories ecommerce.
index: increase clicks, orders and conversion
  • recommended places: Bottom of left pop-up
  • Based on few day shopping muti-index, it shows real-time hot items and increase new items' view
  • Suitable for e-commerce who has many products, stable flow and launch new products frequently.
The recommenders for Product Details Page
Similar Products
Like What You Bought Before
index: increase orders, conversion and decrease bounce rate
  • By making relevance recommendations based on the relevance of product descriptions or product names, the highest relevant products are automatically launched, allowing consumers to choose other recommended products at the moment, instead of leaving the product page and skipping the site.
index: increase orders, conversion and decrease bounce rate
Based on customers' on-site behaviors, Rosetta.ai finds that several of them check out the products which are totally different as they browse. These recommenders show different categories with the browsing products but are more likely to buy.
The recommenders for Shopping cart page
Frequently Bought Together
index: increase conversion and AOV
Based on muti-index in shopping cart(clicks, view, select), it shows the set of products that often bought together.
To make sure that every customer could see the recommenders, we suggested to set up "In page carousel" on Homepage, Products Details Page, Products List Page and Shopping Cart Page.
Next, select one of the layouts:
  • In page carousel
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  • Pop up
If you select "pop-up " then the next step will appear and there will be different types of pop-ups for you to choose from.