Hyper-Personalization by Particular Audience is an AI-native personalization engine designed to deliver unique eCommerce experiences for every visitor. It solves the “endless aisle” problem by showing the right product to the right person at the right time. The platform leverages computer vision, natural language processing, and behavioral data to dynamically personalize product lists, carousels, and search results—without relying on personal data.

Features

• Visual Similarity Matching: Uses computer vision to identify and recommend visually similar products.
• Attribute Affinity Modeling: Matches products based on shared attributes and customer preferences.
• Behavioral Collaborative Filtering: Analyzes browsing behavior to define cross-sell and alternative product relationships.
• Wisdom of the Crowd: Leverages aggregated behavioral data to improve recommendations.
• Contextual Commerce Engine: AI understands product content and customer behavior to deliver relevant experiences.
• Complete Analytics Suite:
  • Engagement Tracking: Measures interaction at carousel, slot, and algorithm level.
  • SKU-Level Attribution: Tracks which items were recommended, engaged with, and purchased.
  • Incrementality Testing: A/B testing without code to measure impact across cohorts and page elements.
  • Algorithm Performance Comparison: Benchmarks competing algorithms in varied contexts.
  • Google Analytics Integration: Provides visibility within existing analytics infrastructure.
• Inventory Intelligence:
  • Dependency & Choice Modeling: Identifies product relationships to optimize stock allocation.
  • Competitive Insights: Tracks net gain/loss by brand, product, or category.
  • Product Area Analysis: Measures impact of recommendation logic across store categories.
  • Longtail Analysis: Enhances discovery of low-visibility items to increase revenue and reduce stock risk.
• Managed Services or API Access: Offers full-service integration, creative development, reporting, and optimization.

Benefits

• Unique Experiences for Every Customer: Tailors product discovery to individual behavior and preferences.
• Increased Conversion & Basket Size: Drives higher engagement and purchases through relevant recommendations.
• Privacy-Preserving Personalization: Uses robust product data instead of personal identifiers.
• Improved Inventory Decisions: Enhances stock allocation and reduces cannibalization.
• Comprehensive Performance Insights: Tracks and optimizes personalization impact across the customer journey.
• Fast Integration & Support: Offers proactive onboarding and optimization via managed services or API.