+16.9%

Increase in Average Order Value, Search

+11.2%

Increase in Revenue per Session, Recommendations

Industry:Luxury & Watches

Business Unit:E-commerce

Use Case:High-Intent Product Discovery

Channel:Website

Key Objectives:Improve Search Precision, Increase Average Order Value

Products:

WatchesFragranceJewelrySunglassesHandbags

How Jomashop Increased Average Order Value by 16.9% with Marqo

Company Overview

Jomashop is one of the world's leading online destinations for luxury watches, fine jewelry, designer handbags, eyewear, fragrances, and accessories. The retailer has built an international ecommerce business around an extensive selection of luxury products from many of the world's most recognized watchmakers and fashion houses. Jomashop manages a vast, high consideration catalog where shoppers search with exceptional specificity, from watch reference numbers and movement types to brands, materials, styles, and product attributes. With high intent product discovery at the center of the luxury shopping journey, delivering accurate and relevant ecommerce search is critical to helping customers confidently find the right product and supporting conversion across Jomashop's global business.

Why Jomashop Evaluated Marqo

For Jomashop, search represents some of the highest intent traffic on the site. Shoppers arrive with intent already formed, searching by reference number, movement type, complication, case diameter, and brand nomenclature, where a single model may exist in dozens of variants separated only by dial color or bracelet material.

Jomashop needed product discovery that could interpret collector vocabulary with precision across a deep multi-brand catalog, distinguish variants at the attribute level, and convert high-intent searches at the most commercially valuable point in the journey.

Challenges

Luxury watch retailers face a precision problem, because customers search by reference number and technical specification, where a near-miss result is functionally a wrong answer. As the catalog deepened across brands and references, variants separated by a single attribute were difficult to distinguish within a result set. Keeping relevance current required continuous manual attention as inventory turned over, creating overhead that competed with merchandising priorities and introducing friction at the most commercially valuable point in the journey.

Solution

Marqo's pixel was installed to capture shopper interaction signals, including search queries, clicks, add-to-cart events, purchases, and broader browsing behavior. This data enabled Marqo to understand how customers searched for and evaluated products across Jomashop's catalog, including patterns tied to reference numbers, brand nomenclature, and technical specifications.

Marqo ingested these signals alongside Jomashop's catalog data to train a model tailored to its product taxonomy and the vocabulary collectors use. As inventory turned over and new references entered the catalog, Marqo continuously updated rankings based on real onsite engagement, reducing the need for ongoing manual rule tuning and merchandising maintenance.

Jomashop deployed Marqo across both search and recommendations through a controlled production A/B test, and reported gains in revenue per user and average order value.

Technical query interpretation: Jomashop reported improved handling of reference numbers, brand nomenclature, and specification-driven queries.
Variant-level precision: Stronger differentiation between references separated by a single attribute such as dial color, case size, or bracelet material.
Recommendations that convert: Marqo-powered recommendation carousels drove a statistically significant lift in add-to-carts per session on a balanced test frame.
Reduced operational overhead: Reduced reliance on manual rule tuning as inventory turned over and new references entered the catalog.

Results

Jomashop evaluated Marqo through a controlled production A/B test running across both search and recommendations, measured against its incumbent provider. Search drove a marked increase in basket size, while Marqo-powered recommendations lifted revenue per session on a balanced fifty-fifty frame.

Overall Business Impact

+16.9%

Increase in Average Order Value, Search

+11.2%

Increase in Revenue per Session, Recommendations

What This Means

Precise interpretation of collector vocabulary meant high-intent shoppers reached the exact reference they came for, and the orders they placed were meaningfully larger. Recommendations compounded the effect by surfacing relevant pieces alongside them.

Moving Forward

Jomashop is graduating Marqo from a split test to full production traffic, with Marqo-powered recommendations running alongside search.

Results reflect Jomashop's experience during the measured period and may vary based on implementation, seasonality, traffic composition, and other business factors. Reported outcomes are Jomashop's measurements and do not constitute a guarantee of future performance. Metrics were collected using Jomashop'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. Jomashop is a registered trademark of Jomashop, Inc. All other trademarks belong to their respective owners.