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Shopping Muse by Dynamic Yield

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Guide shoppers through large product catalogs, from discovery to conversion.

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Dynamic Yield is a personalization technology that aids customers through large product catalogs, from discovery to conversion, using advanced AI language and personalization models. It helps businesses identify, understand, and analyze their audiences, and personalizes content and offers accordingly for each customer. This tool uses algorithms to predict interests, reach customers at critical moments, and facilitates A/B testing on digital properties. A notable feature is its AdaptML technology that predicts customers’ next best products using self-training deep learning AI. It also offers APIs for developers to build excellent customer experiences, suggesting its utility in large-scale, secure, and privacy-compliant enterprise environments. In addition, Dynamic Yield also offers solutions tailored to specific industries like eCommerce, Financial Services, Restaurants, and more, as well as specific channels like web, email, apps, and advertising. Other support features include a robust partner network, extensive product resources like a Knowledge Base and Academy, and various product integrations.

7.2Expert Score
Shopping Muse by Dynamic Yield
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Dynamic Yield is a personalization technology that aids customers through large product catalogs, from discovery to conversion, using advanced AI language and personalization models.
Design
6.4
Easy to use
5.7
Price
6.8
Features
5.9
Accuracy
6.3
PROS
  • Large product catalog handling
  • Advanced personalization models
  • Audience understanding and analysis
  • A/B testing facilitation
  • Offers personalization
  • AdaptML technology
  • Interests prediction
  • APIs for developers
  • Large-scale deployment
  • Secure and privacy-compliant
  • Industry specific solutions
  • Channel specific solutions
  • Robust partner network
  • Knowledge Base and Academy availability
  • Various product integrations
  • Predict next best products
  • Content personalization for each customer
  • Reaching customers at critical moments
  • Supports Ecommerce, Financial Services, Restaurants
  • Handles web, email, apps, and advertising channels
  • Image recognition for product recommendations
  • Personalize anonymous visitor experiences
  • Customizable Shopping Muse
  • Handles complex customer queries
  • Integrates with everything Dynamic Yield does
  • Ability to utilize Mastercard's industry data
  • Supports large, diverse product catalogs
  • Plug and play solution
  • Intuitive interface for customization
  • Uses contextual data for personalization
  • Shopping and browsing history consideration
  • Real-time data use for recommendations
  • Can be launched from any place on website
  • Creates hyper-personalization
CONS
  • Must handle large catalogs
  • Complex AdaptML technology
  • Relies on external APIs
  • Requires user personalization setup
  • Limited to certain industries
  • Too many features
  • Requires data compliance
  • Varying performance across channels

Specification: Shopping Muse by Dynamic Yield

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7.2/10
(Expert Score)
#3 in category eCommerce
Design
6.4
Easy to use
5.7
Price
6.8
Features
5.9
Accuracy
6.3
Shopping Muse by Dynamic Yield
Shopping Muse by Dynamic Yield
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