Overview
Clients
Partners
BlogOur latest posts on digital
marketing.
ResourcesAccess to guides, case studies, webinars & more.
LearningDevelop your knowledge at your own pace with Mapp learning tools!
About us
Billions of pounds of retail ad budgets are wasted every year due to poor product data that doesn’t reflect how customers actually shop. Mapp Fashion bridges the gap between SKU-speak and customer language, ensuring each your Google Shopping matches real intent.
This mismatch is costing you growth
Generic titles/product types miss real queries
Occasion, fabric/feel, style, silhouette/length.
Context is absent
Aesthetic/vibe, fit/feel/flow matter.
Localisation matters
Wrong terms (jumper/sweater; burgundy/wine) and missing size conversions (UK/EU/US) cost approval and clicks.
Results: Lower match quality, higher CPC, lower ROAS, weak CTR/CVR 
Customer language is learned, governed and market specific.
Fashion requires micro‑occasions, styles, and trend context.
Language models must be trained on how shoppers actually search for and describe items, not just SKU codes.
Making every product speak your customer’s language
Cut wasted ad spend with precision intent matching that attracts the right shoppers, not just more clicks. Drive higher-quality traffic, stronger engagement, and better performance across every metric; click count, CTR, quality score, and ROAS, all up.
Request Shopping Feed Audit
Fix your product titles. Win on Google.
House of Bruar, a leading Scottish country fashion retailer, partnered with Mapp Fashion to fix feed quality issues and make product data more meaningful to real shoppers. Google Merchant Center had flagged problems like mismatched availability and price, along with missing attributes, leading to wasted impressions and reduced visibility. By enriching product types with clearer, customer-friendly language and seasonal context, the brand transformed its data into a performance driver.
Read More
See what Mapp Fashion can do for your business…
DE
