How Mejuri Increased Purchase Conversion by 14.7% with Marqo
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
Mejuri identified product discovery as a strategic growth lever within its ecommerce experience. As the brand expanded its assortment and introduced new collections, search became increasingly important in shaping how customers explore styles, evaluate materials, and confidently complete high-consation purchases.
Jewelry discovery requires precision. Shoppers search using nuanced combinations of metal type, stone, size, occasion, and personalization attributes, often expressed through natural language or descriptive phrases. Mejuri needed a platform capable of interpreting this layered intent dynamically, aligning results with product attributes and brand language without relying on heavy manual rule management.
The objective was to establish a scalable, AI-driven foundation for search that continuously improves performance and unlocks incremental revenue.
Challenges
As Mejuri’s catalog expanded, maintaining consistent relevance across high-intent search journeys became increasingly complex. Descriptive and style-driven queries did not always surface the most contextually relevant results, and limited typo tolerance combined with occasional null-result searches introduced friction at critical moments in the purchase path.
Sustaining performance required ongoing manual merchandising and rule adjustments, creating operational overhead and slowing iteration cycles. Personalization capabilities were also constrained, with limited session-level adaptation and no scalable mechanism to support visual similarity or attribute-aware ranking without manual tagging.
Together, these limitations restricted Mejuri’s ability to fully capitalize on high-intent traffic and maximize the revenue potential of search-driven discovery across its fine jewelry catalog.
