15,304
Product recommendations
2022-10-01
Rosetta
13
Ecommerce recs & retention.
Overview
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Rosetta.ai is a 1-to-1 personalization platform that helps ecommerce businesses increase sales and conversions. It uses AI-driven visual recognition and specialized personalization tools to identify shoppers’ preferences and make tailored product recommendations.
This platform helps merchants to build better relationships with customers by offering personalized online experiences. It also uses AI-driven Hesitant Customer Detection to engage shoppers when they begin to churn and offer just the right deal at just the right time.
It is especially effective for fashion, cosmetics, and accessories websites. It provides 7 different types of personalized recommenders, static or exit-intent banners, and Visual AI Preference Analytics to gather unique consumer insights and truly personalize the site.
The platform is used widely by over 2000 SMB websites and some top brands, such as L’Oréal, Lancome, Kiehl’s, Shu Uemura, and SOLE, and has achieved an 80x average order value increase, 80x conversion rate increase, and 80x revenue per visitor increase.
It supports top ecommerce platforms in Asia and Shopify for its global clients.
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Rosetta was manually vetted by our editorial team and was first featured on January 30th 2023.
7 alternatives to Rosetta for Product recommendations
Pros and Cons
Pros
Personalized product recommendations
Hesitant Customer Detection
Specialized for fashion, cosmetics, accessories
7 types of recommenders
Static or exit-intent banners
80x average order value increase
80x conversion rate increase
80x revenue per visitor increase
Supports top Asian ecommerce platforms
Supports Shopify
Used by over 2000 SMBs
Used by top brands
First-party data analytics
Conversion optimization tools
Customer retention tools
Real-time individual preference-based recommenders
Customizable modern widgets
Preferences optimized for apparel, beauty and accessories
Surprisingly accurate individual shopper recommendations
Cons
Limited eCommerce platform support
Primarily focused on fashion-related eCommerce
No multi-language support
No mentioned mobile optimization
No API
Lacks integration diversity
Missing offline touch points
Data analytics not transparent
Underdeveloped educational resources
No clear free trial offer
Q&A
What is Rosetta and how does it work?
Rosetta is a 1-to-1 personalization platform that utilizes technology such as AI-driven visual recognition and specialized personalization tools to increase sales and conversions for ecommerce businesses. It identifies the preferences of shoppers and provides tailored product recommendations. Moreover, it uses Hesitant Customer Detection feature to engage and retain shoppers offering suitable deals at the right time. The platform supports seven types of personalized recommenders, static or exit-intent banners and Visual AI Preference Analytics to offer unique consumer insights.
What kind of businesses is Rosetta designed for?
Rosetta is designed for ecommerce businesses seeking to enhance their sales and customer retention rates. It's effective for fashion, cosmetics, and accessories websites. It's used by over 2000 SMB websites and top brands such as L’Oréal, Lancome, Kiehl’s, Shu Uemura, and SOLE.
How does Rosetta leverage AI for personalization?
Rosetta leverages AI in a couple of key ways for personalization. It uses AI-driven visual recognition to understand the shoppers' preferences, making product recommendations based on these insights. Rosetta's AI also powers the Hesitant Customer Detection feature, which identifies when shoppers are about to disengage or leave, triggering an engagement at the critical moment with a suitable deal.
What are the key features of the Rosetta platform?
The key features of the Rosetta platform include 1-to-1 personalized product recommendations, AI Exit-Intent Promotions, Hesitant Customer Detection feature, and Visual AI Preference Analytics. It also provides seven different types of personalized recommenders and static or exit-intent banners.
How is the Hesitant Customer Detection feature of Rosetta beneficial for ecommerce business?
The Hesitant Customer Detection feature of Rosetta is beneficial for ecommerce businesses as it identifies when shoppers are about to disengage or leave. It activates promotions at just the right moment, offering deals that are personalized to the shopper's preferences. This may help to re-engage the consumer, potentially preventing abandoned carts and driving increased conversions.
What are the specific product recommendations that Rosetta provides?
Rosetta provides product recommendations based on shoppers' individual preferences. These recommendations come from seven different types of recommender systems optimized for fashion-related ecommerce, fine-tuned to the needs of their best clients. These recommenders are real-time and thus yield results effectively.
What fields is Rosetta particularly effective in?
Rosetta is particularly effective in the fields of fashion, cosmetics, and accessories. It provides a one-two punch of personalized recommendation tools and promotional widgets showing products with attributes people love, aiming to convert more shoppers into buyers.
What kind of data does Rosetta.ai use for its customization?
Rosetta.ai uses first-party customer data gathered from interactions on the ecommerce website. The data derived from Visual AI Preference Analytics helps to understand which product attributes the shoppers want as they browse the site and assists in building preference profiles.
What are the different types of personalized recommenders provided by Rosetta?
Rosetta offers seven different types of personalized recommenders. These are all optimized for fashion-related ecommerce, with algorithms fine-tuned to the needs of their best clients. They work based on real-time individual preferences to yield effective results.
How does the Visual AI Preference Analytics of Rosetta help gather unique user insights?
Visual AI Preference Analytics of Rosetta helps gather unique user insights by understanding which product attributes shoppers want as they browse the website. It helps build preference profiles optimized for apparel, beauty, and accessories, providing surprisingly accurate recommendations for each individual shopper.
Can Rosetta be integrated with Shopify and other ecommerce platforms in Asia?
Yes, Rosetta can indeed be integrated with Shopify for its global clients as well as top ecommerce platforms in Asia such as Easystore, 91App, Shopline, Cyberbiz, Waca, and Meepshop.
How has Rosetta been able to increase average order value, conversion rate, and revenue per visitor?
Rosetta has achieved substantial improvements in average order value, conversion rates, and revenue per visitor by providing highly personalized product recommendations based on AI-powered visual analysis and superior personalization tools. It engages shoppers effectively using the Hesitant Customer Detection feature, which provides the right deal at the right time, thus converting more visitors into buyers.
How does Rosetta use AI-driven visual recognition?
Rosetta uses AI-driven visual recognition in its Visual AI Preference Analytics feature. This recognizes the product attributes their shoppers desire as they browse through the website. This detailed visual recognition helps in creating individual preference profiles and in providing personalized and accurate product recommendations.
How can Rosetta help me improve the online shopping experience for my customers?
Rosetta can help improve the online shopping experience for your customers by offering highly personalized and accurate product recommendations. It uses AI to understand individual customer's preferences and then suggests products accordingly. The platform also uses Hesitant Customer Detection and offers deals at the right time, thereby keeping your customers engaged and satisfied with their shopping experience.
What is the 1-to-1 Personalization Platform offered by Rosetta?
The 1-to-1 Personalization Platform offered by Rosetta is a suite of tools that helps ecommerce businesses increase sales and conversions. It combines personalized recommendation tools and promotional widgets that display products with the attributes loved by the people. This platform also automatically engages shoppers when they begin to churn, using Hesitant Customer Detection and offering a suitable deal at the right time.
How does Rosetta's AI Exit-Intent Promotions feature work?
Rosetta's AI Exit-Intent Promotions feature works by identifying when a shopper is about to leave the website. When this 'exit intent' is detected, it triggers an engagement with the shopper, displaying static or exit-intent banners featuring a deal relevant to the shopper's preferences. This has the potential to re-engage the customer and prompt a purchase.
What are the promotional widgets that Rosetta provides?
Rosetta provides promotional widgets that are part of the 1-to-1 Personalization Platform and AI Exit-Intent Promotions feature. These widgets display products with the attributes that people love, converting more shoppers into buyers. They can also be used to show static or exit-intent banners whenever Hesitant Customer Detection identifies a shopper who is about to leave the site.
How does the AI personalization platform of Rosetta.ai differ from other similar platforms?
The AI personalization platform of Rosetta.ai differs from other similar platforms due to its specialization in the fashion, cosmetics, and accessories domain. It also stands out due to its AI features like visual recognition for personalization and Hesitant Customer Detection. Moreover, it supports seven types of recommenders and has managed to achieve an 80x increase in average order value, conversion rate, and revenue per visitor.
What are some notable brands that use Rosetta?
Some notable brands that use Rosetta include L’Oréal, Lancome, Kiehl’s, Shu Uemura, and SOLE. The platform is also widely used by over 2000 SMB websites.
How does Rosetta specialize in Preference Analytics for fashion-related ecommerce?
Rosetta specializes in Preference Analytics for fashion-related ecommerce by using its Visual AI Preference Analytics feature. It identifies which product attributes shoppers want as they browse the website and helps build preference profiles optimized for apparel, beauty, and accessories. This in-depth specialization allows Rosetta to provide surprisingly accurate and personalized product recommendations.
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