Redbubble Unlocks $11m+ in Incremental Revenue with Marqo

Company Overview

Redbubble is a global online marketplace for print-on-demand products featuring art from over 2 million independent artists. Founded in 2006, the platform enables customers to discover and purchase unique designs on apparel, home décor, stationery, and more. Redbubble operates internationally with offices in San Francisco, Melbourne, and Berlin, and serves millions of customers around the world.

Redbubble's catalog is massive and highly diverse, with millions of artist generated listings. Traditional keyword approaches struggled when shoppers searched in natural language or concept based terms.

For a marketplace where search is one of the most critical touchpoints, these limitations directly impacted conversion rates, cart adds, and revenue.

Why Redbubble Evaluated Marqo vs. Elasticsearch

Redbubble evaluated Marqo as a replacement for its existing Elasticsearch-based search infrastructure. The core challenge was that keyword matching fundamentally couldn't capture the creative, conceptual intent behind how Redbubble's customers actually searched.

Marqo stood out for its ability to semantically understand open-ended, descriptive queries at the scale of tens of millions of products — without requiring manual tagging, taxonomy management, or synonym lists. The native vector search architecture meant Redbubble could ship meaningful relevance improvements without a large engineering lift.

Challenges

Redbubble's catalog of unique, artist-created designs demanded a search experience that could interpret creative intent — not just match keywords. The existing system consistently failed when shoppers expressed what they wanted in natural, descriptive, or thematic language.

Creative and Descriptive Queries — Vague or concept-driven searches — such as "Funny bumper sticker from The Office" — returned poor results under keyword search, frustrating high-intent shoppers.

Semantic Understanding — Keyword-based semantic mismatches failed to surface relevant or inspiring designs for conceptual searches, leading to high search abandonment.

Discovery Depth — Limited discovery paths for users unsure of specific product titles or artist names reduced exploration and cart additions across long-tail searches.

Mobile and Category Page Performance — High bounce rates on high-intent product category pages and a conversion gap on mobile where shoppers needed faster, more intuitive experiences.

For a creative marketplace, search needs to do more than return results — it needs to translate open-ended intent into confident purchase behavior. Every missed descriptive query is a missed sale.

Solution

Redbubble deployed Marqo's vector search to replace keyword-based retrieval across its entire catalog of artist-created designs. Semantic understanding of open-ended, conceptual, and thematic queries was available from day one — without manual tagging, synonym management, or taxonomy configuration.

Marqo indexed tens of millions of unique listings and delivered relevance for the long-tail, inspiration-led searches that Elasticsearch consistently failed to handle — enabling shoppers to find designs even when queries were vague, unconventional, or typo-prone.

Marqo Vector Search: Marqo's vector search replaced Redbubble's existing keyword search across the entire platform, bringing semantic understanding to every query.
Semantic Intent Understanding: The system semantically understood shopper intent, capturing the meaning behind descriptive, conceptual, or thematic searches without manual synonym management.
Long-Tail Relevance: Improved relevance allowed users to quickly surface unique designs even when queries were vague, typo-prone, or unconventional.

Results

After an 8-week A/B test involving 20% of site traffic, Redbubble achieved substantial improvements across key commercial and customer experience metrics.

+21%

Increase in Add-to-Cart rate for style-driven and descriptive queries

+2.9%

Uplift in Average Order Value

Higher mobile engagement

Higher mobile engagement through faster, more intuitive semantic search experiences

Reduced search abandonment

Reduced search abandonment and bounce rates, particularly on high-intent product category pages

What This Means

For a creative marketplace like Redbubble, search needs to do more than return results. It needs to translate open ended intent into confident purchase behavior. With Marqo powering discovery, Redbubble improved relevance for the long tail, inspiration led searches that keyword systems often miss.

More users searching.
Higher value cart sizes.
Millions in incremental revenue unlocked, with minimal engineering overhead and no manual curation.

Results reflect an A/B test conducted over 8 weeks on 20% of Redbubble's production traffic. Outcomes may vary depending on catalog size, traffic volume, and implementation configuration.