How Fabric House grew revenue +78% in one week by guiding buyers through a complex catalog
Thousands of premium Italian fabrics, one exploratory buying flow, and no way to know who needed what. Here is how an intelligent guidance layer turned browsing into buying.
A premium catalog with thousands of choices
Fabric House is an international textile company specializing in premium Italian fabrics and designer deadstock materials. Through its e-commerce platform and physical showrooms across Europe, it serves fashion brands, designers, and creative professionals looking for high-quality, sustainable textiles.
By giving surplus fabrics from established manufacturers a second life, Fabric House combines traditional textile expertise with a modern, digital-first distribution model.
The challenge: choice overload at every click
Fabric House's strength was also its friction: an impressive range of premium fabrics behind a structurally complex navigation. Dozens of categories, technical textile names, multiple sub-groups. Buyers who already knew exactly what they were looking for did fine. But for a first-time visitor, it was overwhelming.
- Choice overload, increasing bounce risk on entry pages
- Decision fatigue before ever reaching product pages
- High-value wholesale buyers navigating the same exploratory flow as small shoppers

The problem wasn't traffic. It was the lack of guidance: Fabric House needed a way to help visitors quickly orient themselves, reduce friction, and guide them toward the right products, without redesigning the catalog or restructuring the website.
The solution: an intelligent guidance layer
Instead of rebuilding the website, Fabric House introduced Pathmonk as a guidance layer on top of the existing structure, starting with a pilot on the German subdomain. Pathmonk analyzed visitor behavior in real time and deployed the right experience for each stage of the journey.
Product Selector
A guided experience that asked simple, structured questions to understand what each visitor was actually looking for, then navigated them through the catalogue: no menus, no guesswork.
Guided discoveryIntent detectionIntent-based microexperiences
Depending on behavior, visitors saw introductory video, customer testimonials, FAQs, or brand trust content, each personalized to the visitor's decision stage and funnel position.
PersonalizationFunnel-stage aware


Setup ran through GTM in minutes with no dev dependency, fully cookieless, backed by a money-back guarantee if the exposed traffic didn't deliver at least a 20% uplift.
The results: measured, not assumed
Fabric House followed Pathmonk's recommended A/B setup, activating personalization on 50% of total traffic: a control group with the standard website experience, and a Pathmonk group exposed to AI-driven microexperiences. Both groups received equal-quality traffic over the same period.
While conversions increased by 36%, revenue increased by 78%. Pathmonk didn't just generate more purchases: it guided higher-value buying behavior, increasing average order value.
Uplift at every funnel stage, from discovery to purchase, measured against the control group.

What's next: scaling market by market
The German pilot now serves as a replicable model. Because each market operates in a different language and attracts slightly different customer profiles, Fabric House's next step is to scale with additional accounts per language and country: precise targeting per language, clean attribution per region, and the same proven framework rolled out market by market.
Our catalog was our biggest asset and our biggest barrier. Pathmonk turned it into a guided experience without us touching a single page.
Rossella ScottonCEO, Fabric House
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Install in minutes through GTM, run a clean A/B split, and see the uplift for yourself. Cookieless, no dev work needed.
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