Yaga Increases Search CTR by 6% with Pixyle.ai’s AI Product Tagging
By using Pixyle.ai’s AI tagging, Yaga enriched user-generated listings, improved search accuracy, and helped shoppers find relevant products faster.
Higher search click-through rate.
Fewer searches needed to find relevant products.
Growth supported with AI-enriched product data.
About Yaga
Fast-growing second-hand fashion marketplace
Peer-to-peer resale platform for pre-owned clothing across multiple markets
Make sustainable fashion more accessible, affordable, and community-driven Yaga enables users to buy and sell pre-owned clothing through a simple resale experience. As the platform expanded, especially in South Africa, Yaga needed a scalable way to improve product discovery across a growing number of user-generated listings.
The Challenge: Incomplete Product Data and Search Friction
Despite Yaga’s rapid marketplace growth, many product listings were created by users and often lacked key product details such as category, color, material, pattern, fit, sleeve length, and style.
These missing or inconsistent attributes reduced search accuracy, limited filtering performance, and made product discovery less efficient. Manual tagging could not keep up with the growing catalogue, so Yaga needed a scalable solution to improve product data quality without relying on seller input.
The Solution: Pixyle's AI Tagging
Pixyle.ai partnered with Yaga to automatically enrich product listings using AI-powered image recognition.
By analyzing uploaded product images, Pixyle.ai generated structured fashion attributes such as category, color, material, pattern, fit, sleeve length, and style. This helped Yaga transform incomplete user-generated listings into consistent, searchable product data.
The solution was implemented in just 5 days, enabling rapid deployment, A/B testing, and continuous optimization.
See how Yaga improved search efficiency with AI-powered product tagging
Yaga was looking for a scalable way to improve product discovery across a fast-growing resale marketplace. With Pixyle.ai, the platform enriched user-generated listings, improved search relevance, and supported rapid inventory growth.
In this case study, you’ll learn:
How Yaga increased search click-through rate by 6%.
How users needed ~5% fewer searches to find relevant products.
How Yaga scaled monthly listings from 300,000 to 600,000 in South Africa.
How AI product tagging reduced reliance on manual data entry.
How structured product data improved search, filtering, and marketplace navigation.
In Yaga’s Own Words
“Yaga implemented Pixyle.ai in just 5 days. While using Pixyle.ai, monthly listings scaled from around 300,000 to 600,000 in South Africa, users needed around 5% fewer searches to find relevant products, and search click-through rate increased by ~6%, reflecting improved efficiency in product discovery and better matching between user intent and listings.”
Ready to improve your product discovery like Yaga? Explore the tools that made it possible.
Stop letting incomplete product data slow down search, filtering, and marketplace growth. Discover how Pixyle.ai helps fashion marketplaces enrich product listings, improve search relevance, and create better shopping experiences at scale.
