+14.72%

Increase in Purchase Conversion Rate

‍+19.84%

Increase in Search Revenue per User

Industry:

Jewelry & Accessories

Business Unit:

E-commerce

Use Case:

Product Discovery & Conversion Optimization

Channel:

Website

Key Objectives:

Enhance Product Relevance, Streamline Shopper Experience

Products:

Fine Jewelry

Personalized Pieces

How Mejuri Increased Purchase Conversion by 14.7% with AI-Powered Search

Company Overview

Mejuri is one of the most recognized modern fine jewelry brands, known for design-forward collections and a strong direct-to-consumer model. Built around the concept of “everyday luxury,” the brand offers high-quality pieces that resonate with a loyal, digitally native customer base. Operating across ecommerce and a growing retail footprint, Mejuri manages a dynamic and expanding catalog of fine jewelry and personalized pieces. With product discovery playing a central role in the customer journey, delivering accurate, intuitive search experiences is critical to supporting conversion and sustained growth.

Why Mejuri Evaluated Marqo

As Mejuri’s catalog expanded and new collections launched more frequently, search became a critical driver of product discovery and conversion. Shoppers often searched using descriptive, style based queries such as metal type, fit, or aesthetic, making relevance difficult to maintain with traditional keyword search.
Mejuri evaluated Marqo to modernize search with an AI driven system that understands shopper intent, continuously optimizes relevance, and scales alongside catalog growth. The objective was to drive higher conversion and search revenue while eliminating the need for ongoing manual rule tuning.

Challenges

Managing discovery across an expanding jewelry catalog introduced complexity in maintaining relevance and consistency. Manual rules required constant intervention to surface trending styles or new collections. Subtle differences in product metadata such as metal type, size, or engraving options made it difficult for traditional search to match customer expectations.

The team needed an intelligent search platform that could understand their catalog semantically, interpret shopper intent in real time, and continuously optimize for engagement and conversion.

Solution

Marqo's pixel was implemented across Mejuri's digital storefront to continuously capture shopper interactions including search terms, click signals, add-to-cart events, and purchases. This behavioral data fed into Marqo’s platform to train a custom model fine-tuned to Mejuri's product taxonomy and brand language.

Marqo's relevance engine combined semantic understanding with real-time feedback loops, enabling results that adapted dynamically to new collections and customer behavior without manual adjustments.

After deploying Marqo across search and browse, Mejuri reported stronger understanding of descriptive, style-based queries such as "dainty gold hoops" or "pearl necklace under $200," improved ranking control and transparency across product collections, and enhanced stability and speed with continuous catalog updates.

Enhanced semantic intent understanding: Improved interpretation of natural-language and style-based searches such as “dainty gold hoops” or “pearl necklace under $200,” reducing inconsistent results and null queries.
Adaptive ranking & personalization: Continuously optimized product ranking using real-time behavioral signals, while preserving merchandising control and transparency.
Catalog-aware relevance: Understood subtle product attributes such as metal type, size, and personalization options to align results with shopper expectations.
Reduced operational overhead: Minimized manual rule tuning and engineering dependency through automated, continuously learning relevance models.

Results

Mejuri evaluated Marqo using a controlled on-site A/B test with 50 percent of traffic allocated to Marqo. During the test period, Mejuri observed significant gains in conversion and monetization.

Overall business impact

+14.72%

Increase in Purchase Conversion Rate

+19.84%

Increase in Search Revenue per User

The introduction of contextually aware, adaptive search improved discovery quality and directly translated into stronger purchasing intent across search-driven sessions.

Moving Forward

With positive results from search, Mejuri is expanding Marqo to power browse pages and recommendations across its site. Marqo is now a core component of Mejuri’s discovery stack, enabling a scalable, intent-driven shopping experience that reflects how customers think, search, and buy fine jewelry online.

Results reflect Mejuri’s experience during the measured period and may vary based on implementation, seasonality, traffic composition, and other business factors. Reported outcomes are Mejuri’s measurements and do not constitute a guarantee of future performance. Metrics were collected using Mejuri’s onsite tracking and Marqo’s analytics framework. Marqo processes only anonymized behavioral signals and does not collect personally identifiable information.

Marqo™ is a trademark of Marqo Inc. Mejuri is a registered trademark of Mejuri Inc.. All other trademarks belong to their respective owners.

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