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Experro’s ranking engine blends four distinct score components into a single, optimized ordering—ensuring shoppers see the most relevant, high-performing, personalized, and strategically placed products first. This holistic approach balances customer intent with business goals in real time.

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Relevance Scoring

Instead of simple keyword matches, Experro measures deep semantic similarity between the user’s query and each product’s embeddings (Image +Text). This ensures that results align with meaning, style, and visual cues—so “leather biker jacket” returns genuine matches, even if your catalog uses “motor coat.”

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Performance-Based Ranking

Live engagement metrics—impressions, clicks, add-to-carts, purchases, and revenue—are continuously scored within each query context. Products that resonate most with shoppers for a given search organically climb higher over time, turning customer behavior into an ever-improving ranking signal.

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Merchandising Controls

Merchandising rules layer on top of AI-generated scores to reflect strategic priorities:
  • Boost & Bury: Amplify new arrivals or suppress low-margin/clearance items.
  • Pin & Slot: Fix products in a specific position or within a defined range.
  • Include/Exclude: Force items into or out of the result set.

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Personalization Scoring

Experro personalizes ordering by blending two affinity signals:
  • Known-User Profiles: Leverage historical behavior (past purchases, wishlists) tied to logged-in customers.
  • Anonymous Session Signals: Capture live interactions (clicks, filters, dwell time) to form a real-time session profile.
    By combining long-term and in-session data, Experro delivers one-to-one relevance—ensuring first-time visitors and loyal customers alike see products tailored to their preferences.

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Why It Matters

This dynamic, multivariate ranking ensures that shoppers never have to dig through irrelevant items. They see the right products first—driving higher engagement, faster conversions, and stronger alignment between your merchandising strategy and real customer intent.