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Rosetta

Creating personalized shopping experiences through AI.

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Starting price Free + from $199/mo

Tool Information

Rosetta.ai provides a suite of AI-driven tools designed to enhance the e-commerce experience. By interpreting and leveraging various consumer characteristics and behaviors, Rosetta.ai tailors website interfaces to individual customer preferences, improving their online shopping experience. The suite includes 'Rosetta AdMatch', which introduces a targeted advertising model designed to attract high-spend consumers via personalized online shopping experiences. 'Rosetta Engage' employs accurate recommendation algorithms to optimise shopping journey touchpoints. 'Rosetta Analytics' combines product label data and consumer preference analysis to generate rich consumer insights surpassing those provided by Google Analytics. Finally, 'Rosetta Automation' expands consumer engagement by automating marketing messages across multiple channels, taking into account customer's prior interactions to avoid repetition. Overall, Rosetta.ai aims to enhance the personalization of online shopping, increase conversion rates, and fuel growth for e-commerce businesses.

F.A.Q (20)

Rosetta.ai is a 1-to-1 personalization platform that leverages AI and visual recognition to offer personalized shopping experiences. It provides ecommerce businesses with AI-driven tools designed to increase sales and conversions by tailoring product recommendations based on the customers' preferences.

Rosetta.ai uses AI-driven visual recognition and personalization tools to identify the preferences of shoppers, offering tailored product recommendations. The platform also uses Hesitant Customer Detection to engage customers when they are about to churn and offer them appropriate deals. Such tailored experiences and reactions increase sales and conversions.

To deduce shopper preferences, Rosetta.ai uses AI-driven visual recognition, predictive analytics, online advertising, and targeted advertising. These tools analyze consumer behavior and tailor the site's layout, product display, and advertisements according to individual customer preferences.

Rosetta.ai is especially effective for fashion, cosmetics, and accessories websites. It has been used by over 2000 SMB websites and top brands including L'Oréal, Lancome, Kiehl’s, Shu Uemura, and SOLE.

Rosetta.ai features AI-driven Hesitant Customer Detection, which identifies shoppers when they start to show signs of churn. The system then engages these customers, offering them special deals at the right time.

Rosetta.ai provides seven types of personalized recommenders. However, specific types of these recommenders are not explicitly described on their website.

Visual AI Preference Analytics is a feature of Rosetta.ai, which gathers unique consumer insights by understanding the product attributes each shopper sees. These insights are used to provide super accurate personalized recommendation tools and promotional widgets.

Rosetta.ai supports top ecommerce platforms in Asia and Shopify for its global clients.

Rosetta AdMatch' introduces a unique advertising model tailored to attract high-spending consumers with personalized online shopping experiences. It does this by utilizing exclusive AI technology, emphasizing cross-site and cross-industry collaborations to showcase products on non-competing websites.

Rosetta Engage' employs sophisticated recommendation algorithms to optimize various shopping journey touchpoints. It improves customers' interaction on ecommerce sites by accurately identifying interaction moments between consumers and website products, targeting the items customers love and want to purchase, thereby increasing the conversion rate.

Rosetta Analytics' uses machine learning techniques to automatically generate product labels. By merging consumer preference analysis with product label data, it offers richer insights than Google Analytics, revealing potentially popular items.

Rosetta Automation' is designed to expand consumer engagement by automating marketing messages across multiple channels. It takes into account the prior interactions of the customer to avoid message repetition, thus stimulating repeat customers and automating marketing efforts.

Yes, Rosetta.ai does offer a 30-day free trial to new clients.

Rosetta.ai utilizes visual recognition, recommendation tools, and unique consumer insights derived from Visual AI Preference Analytics to offer personalized product recommendations. This tailored shopping experience encourages customers to spend more, thereby increasing the average order value.

Rosetta.ai has reportedly achieved an 80x increase in the conversion rate by personalizing shopping experiences, intelligently recommending products at every touchpoint and actively engaging hesitant customers.

Rosetta AdMatch', by utilizing exclusive AI technology, introduces a revolutionary advertising model that tailors personalized shopping experiences to attract high-spending consumer segments. It broadens the customer base and tackles challenges effectively, which in turn drives high intent traffic to the ecommerce sites.

Rosetta Engage' improves customer interactions on ecommerce sites using AI-powered precision recommendation algorithms. By accurately identifying moments of interaction between consumers and website products, it offers intelligent recommendations through three interactive experiences, thereby notably increasing the conversion rate.

Rosetta Analytics' uses machine learning and deep learning techniques for automatic generation of product labels. Combined with consumer preference analysis, it provides richer insights than Google Analytics, unveiling potentially popular items and enhancing product competitiveness.

Rosetta Automation' offers automation capabilities by sending marketing messages across multiple channels, taking into account the past interactions of the customer to avoid repetition. This tailored engagement strategy promotes repeat customers and automates marketing actions.

Several top brands have successfully used Rosetta.ai. Some of these include L'Oréal, Lancome, Kiehl’s, Shu Uemura, and SOLE.

Pros and Cons

Pros

  • 1-to-1 personalization platform
  • Specialized personalization tools
  • Identifies shopper preferences
  • Hesitant Customer Detection
  • Personalises product recommendations
  • 7 types of recommenders
  • Static or exit-intent banners
  • Supports major ecommerce platforms
  • 80x average order value increase
  • 80x conversion rate increase
  • 80x revenue per visitor increase
  • Tailors website interfaces
  • Includes 'Rosetta AdMatch'
  • Accurate recommendation algorithms
  • Enhanced consumer insights
  • Automated marketing messages
  • Enhances personalization of shopping
  • Increases conversion rates
  • Commerce personalisation
  • Consumer Preference Analysis
  • Customer Experience Enhancement
  • Predictive analytics
  • Online advertising
  • Consumer Behavior Analysis
  • Targeted advertising
  • Exclusively designed for ecommerce
  • Works globally and in Asia
  • Proven use by top brands
  • Capable of membership management
  • Optimises shopping journey touchpoints
  • Introduces advertising models
  • Automates advertising messages
  • Provides site-wide recommendations
  • Uses image-based machine learning
  • Automatically generates product labels
  • Improves product competitiveness
  • Can expand the customer base
  • Engages through diverse channels
  • Prevents message repetition
  • Works with Shopify
  • Can drive high-spending traffic
  • Boosts CVR with interactions
  • Achieves marketing automation
  • Boosts repeat customers
  • Unlocks interactive experience services
  • Automates marketing journey design
  • Supports popular e-commerce platforms

Cons

  • Limited platform support
  • Targeted toward ecommerce only
  • Potential privacy concerns
  • Reliance on visual recognition
  • No built-in CRM features
  • Doesn't support multi-language
  • Lack of third-party integrations
  • No pricing information disclosed
  • Overemphasizes customer online behaviour
  • Lacks offline shopping analysis

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